高性能交流伺服系统的智能控制策略
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摘要
随着交流电机控制策略的发展，以矢量控制为代表的调速理论的出现，使得交流调速的性能得到质的提高，因此交流电机在高性能、高精度的伺服系统中得到迅速的应用和推广。
交流电机模型是高阶、非线性、强耦合的系统，矢量控制实现了对交流电机的解耦，使得交流机的高精度控制得以实现，文中第二章主要介绍基于矢量控制的交流电机调速系统，并针对解耦后的系统，应用成熟的直流电机调速系统的设计方法，设计了交流伺服系统的仿真模型。
随着科学技术的发展，对伺服系统的要求越来越高(如快速响应、无超调、无振荡)，因此常规位置伺服控制器已无法满足其要求。由于伺服系统是快过程，决定其控制策略不能太复杂，针对伺服系统的特点，本文在第三章设计出应用于伺服系统的模糊控制器，并讨论了模糊控制伺服系统的优劣，并针对其定位上不准确，设计出方便而有效的基于模糊规则的多控制器协调控制策略，仿真和实验结果均表明这种控制方案的有效性和实用价值。神经元网络在控制领域得到越来越广泛的应用，第四章主要讨论神经元控制的伺服系统以及改进其动态跟踪性能的算法，实验和仿真结果均是有效和可行的；针对常规前馈控制的特点，设计了基于不变性原理的神经网络前馈控制伺服系统，并给出仿真研究结果。并对基于DSP的神经网络实现提出设计方法。
As the development of AC motor control strategies and the appearance of Vector Control Theory which stands for the advanced speed-regulating theory, the performance of AC motor control system had been progressed essentially.
AC motor is a high order,nonlinear,coupling system,the Vector Control accomplishes its decoupling control. It makes it possible to control the AC motor high precisely.In this Article, the AC motor control system based on the Vector Control is mainly presented in Chapter 2. The excellent design of DC control system is also used to make up a simulation model of the AC servo system decoupling .
As the development of the technology and science , it demands more and more high quality of AC Servo system(such as fast responce,non_over_shout,non_osillation etc.). So the normal position controller can't satisfy these demands.Because Servo System is a fast response system, the control strategies can't be too complicated. In this character, Fuzzy controller is designed in chapter 3. In this chapter the results of fuzzy control is discussed. A convienent and effective muti-controller coordinating control system which is base on the fuzzy rules is taken to overcome the position unaccuracy which only fuzzy controller is used.The results of simulation and experiment demonstrate its effection. As the Neural Networks had been used in the control field,in Chapter 4 neuro controller and its new control algorithems which improves dynamic tracking performance are used in our servo system.The simulation results and experiment results show its effection and reliability. An UnvariableControlTheorybased neural netwoks forword control of servo system is also presented in Chapter 4, and the simulation results are also given.The design based on DSP which accomplishes the Neural Netwoks algorithms is also given.
交流电机模型是高阶、非线性、强耦合的系统，矢量控制实现了对交流电机的解耦，使得交流机的高精度控制得以实现，文中第二章主要介绍基于矢量控制的交流电机调速系统，并针对解耦后的系统，应用成熟的直流电机调速系统的设计方法，设计了交流伺服系统的仿真模型。
随着科学技术的发展，对伺服系统的要求越来越高(如快速响应、无超调、无振荡)，因此常规位置伺服控制器已无法满足其要求。由于伺服系统是快过程，决定其控制策略不能太复杂，针对伺服系统的特点，本文在第三章设计出应用于伺服系统的模糊控制器，并讨论了模糊控制伺服系统的优劣，并针对其定位上不准确，设计出方便而有效的基于模糊规则的多控制器协调控制策略，仿真和实验结果均表明这种控制方案的有效性和实用价值。神经元网络在控制领域得到越来越广泛的应用，第四章主要讨论神经元控制的伺服系统以及改进其动态跟踪性能的算法，实验和仿真结果均是有效和可行的；针对常规前馈控制的特点，设计了基于不变性原理的神经网络前馈控制伺服系统，并给出仿真研究结果。并对基于DSP的神经网络实现提出设计方法。
As the development of AC motor control strategies and the appearance of Vector Control Theory which stands for the advanced speed-regulating theory, the performance of AC motor control system had been progressed essentially.
AC motor is a high order,nonlinear,coupling system,the Vector Control accomplishes its decoupling control. It makes it possible to control the AC motor high precisely.In this Article, the AC motor control system based on the Vector Control is mainly presented in Chapter 2. The excellent design of DC control system is also used to make up a simulation model of the AC servo system decoupling .
As the development of the technology and science , it demands more and more high quality of AC Servo system(such as fast responce,non_over_shout,non_osillation etc.). So the normal position controller can't satisfy these demands.Because Servo System is a fast response system, the control strategies can't be too complicated. In this character, Fuzzy controller is designed in chapter 3. In this chapter the results of fuzzy control is discussed. A convienent and effective muti-controller coordinating control system which is base on the fuzzy rules is taken to overcome the position unaccuracy which only fuzzy controller is used.The results of simulation and experiment demonstrate its effection. As the Neural Networks had been used in the control field,in Chapter 4 neuro controller and its new control algorithems which improves dynamic tracking performance are used in our servo system.The simulation results and experiment results show its effection and reliability. An UnvariableControlTheorybased neural netwoks forword control of servo system is also presented in Chapter 4, and the simulation results are also given.The design based on DSP which accomplishes the Neural Netwoks algorithms is also given.
引文
[1] 蒋静坪 计算机实时控制系统 浙江大学出版社 1993
[2] 陈伯时 电力拖动自动控制系统 机械工业出版社 1992
[3] L. Jin P. N. NiKikiforuk M. M. Gupta Direct adaptive output tracking control using multilayered neural networks IEE PROCEEDINGSD, Vol. 140, No. 6, NOVEMBER 1993
[4] L. Jin P. N. Nikiforuk M. M. Gupta Adaptive control of discrete-time nonlinear systems using recurrent neural networks IEE Proc-Control Theory Appl, Vol. 141, No. 3, May 1994
[5] 白焰 线性和二次型多层神经网络的学习速度 信息与控制 Vol．23 No．5 Oct．1994 p．308-310
[6] YAOCHU JIN JINGPING JIANG AND JING ZHU Adaptive fuzzy modelling and identification with its. applications INT. J. SYSTEMSCI, Vol. 26, No. 2, 1995 p. 197-212
[7] 李刚民 沈寿金 单片机开发和调试DSP应用系统初探 EACS’92 p．556-560
[8] 徐承忠 朗澄宇 数字伺服系统的一种时间次优控制算法 电气传动 No6 92 p．5-8
[9] Yuzi Izuno, Ryuzo Takeda, and Mttsuo Nakaoka New Fuzzy ReasoningBased High-Performance Speed/Position Servo Control Schemes Incorporating Ultrasonic Motor IEEE Trans. on Industry Applications, Vol. 28, No. 3, MAY/JUNE 1992 p. 613-618
[10] 邓志东 孙增沂 刘建伟 神经网络异步自学习控制系统 自动化学报 Vol．21 No．5 Sep 1995 p．629-633
[11] 王耀南 童调生 蔡自兴 基于神经元网络的智能PID控制及应用 信 息与控制 Vol．23 No．3 Jane 1994 p．185-189
[12] 史国庆 赵庆生 基于神经元网络的模型算法控制 信息与控制 Vol．23 No．3 Jane 1994 p．173-177
[13] George A. Rovithakis, and Manolis A. Christodoulou, Adaptive Control of Unknown Plants Using Dynamical Neural Networks IEEE Trans. on S. M. C. Vol. 24, No. 3, MARCH 1994 p. 400-411
[14] 陈建勤 陈来九 基于自适应神经元学习模糊控制规则 控制与决策 Vol．9 No．5 Sept 1994 p．350-354
[15] 王隆杰 毛宗源 利用神经网络进行推理的模糊控制 控制理论与应用 Vol．11 No．4 Aug 1994 p．508-512
[16] 孙德保 高超 一种实用的克服局部极小的BP算法研究 信息与控制 Vol．24 No．5 Oct 1995 p．283-287
[17] 袁军 黄心汉 陈锦江 基于单个神经元的机器人自适应控制 控制理论与应用 Vol．11 No．1 Feb 1994 p．89-93
[18] 周金荣 黄道 蒋慰孙 一种新型神经网络模型的研究 信息与控制 Vol．23 No．1 Feb 1994 p．22-26
[19] 王耀南 一类动态递归神经网络的智能控制器 控制与决策 Vol．10 No．6 Nov 1995 p．508-513
[20] 张铃 张钹 神经网络中BP算法的分析 模式识别与智能控制 Vol．7 No．3 Sept 1994 p．191-195
[21] 胡建元 黄心汉 袁军 陈锦江 采用单个神经元的PID学习控制 控制与决策 Vol．8 No．2 Mar 1993 p．135-138
[22] Vadim I. Utkin Sliding Mode Control Design Principles and Applications to Electric Drives IEEE Trans. on Industrial Electronics, Vol. 40, No. 1, February. 1993 p. 23-36
[23] 毛宗源 邱焕耀 感应电动机解耦变结构控制系统抖振抑制和消除的研 究 自动化学报 Vol．20 No．2 Mar 1994 p 169-175
[24] 张邦礼 李银国 曹长修 非线性系统神经网络辨识的鲁棒BP算法 控制与决策 Vol．11 No．1 Jan 1996 p．22-27
[25] 夏承光 肖锦 王晓冬 位置伺服系统的学习控制研究 自动化学报 Vol．18 No．1 Jan 1992 p．54-63
[26] 冯勇 徐殿国 王炎 变磁阻电机的计算机控制 电工技术学报 Vol．No．1 1995 p．39-43
[27] 马晓军 王小捷 文传源 基于神经网络的非线性系统的输出调节 控制与决策 Vol．10 No-3 May 1995 p．279-283
[28] 高文忠 顾树生 前馈神经网络的新算法及其收敛性 控制与决策 Vol．10 No．3 May 1995 13．284-288
[29] Amin Suyitno, J. Fujikawa, H. Kobayashi, and Yasuhiko Dote, VariableStructured Robust Controller by Fuzzy Logic for Servomotors IEEE Trans. on Industrial Electronics, Vol. 40, No. 1, February. 1992 p. 80-88
[30] Atsushi Ishigame, Tadashi Furukawa, Shunji Kawamoto, and Tsuneo Taniguchi, Sliding Mode Controller Design Based on Fuzzy Inference for Nonlinear Systems IEEE Trans. on Industrial Electronics, Vol. 40, No. 1, February. 1992 p. 64-70
[31] 许力 一种局部化的反向传播网络 控制与决策 Vol．10 No．2 Mar 1995 p．148-152
[32] 金耀初 蒋静坪 诸静 结合模糊推理的多变量神经自适应控制 信息与控制 Vol．23 No．4 Aug 1994
[33] 邓志东 孙增沂 张再兴 一种模糊CMAC神经网络 自动化学报 Vol．21 No．3 May 1995 p．288-293
[34] H. S. Lee and M. Tomizuka Robust Motion Controller Design for HighAccuracv Position System IEEE Trans IE, Vol. 143, No. 1, Feb. 1996
[35] 上谷武士·江上 正 合著 廖福成 译 最新自动控制技术-数字预见 控制 北京科学技术出版社 1994
[36] K. K. Shyu and H. J. Shieh Variable Structure Current Control for Induction Motor Drives by Space Voltage Vector PWM IEEE trans IE, Vol 142, No. 6, Dec 1995, p. 572-578
[37] 易武 李力争 模糊控制器的一种加权平均算法 控制与决策 Vol．7 No．5 Sept 1992 p．382-385
[38] M. H. Perng H. H. Chang Intelligent supervision of servo control IEE PROCEEDINGS-D, Vol. 140, No. 6, NOVERMBER. 1993 p. 405-412
[39] 刘又午 数字控制机床 机械工业出版社
[40] R. N. Danbury Near time-optimal control of nonlinear servomechanisms IEE Proc-Control Theory Appl, Vol. 141, No. 3, May 1994
[41] V. Etxebarria, PhD Adaptive control of discrete system using neural networks IEE Proc-Control Theory Appl, Vol. 141, No. 4, July 1994
[42] 王金章 杨辉 模糊调节器参数的在线自整定 控制与决策 Vol．4 No．4 1989 p．40-45
[43] 金耀初 蒋静坪 一类非线性系统的模糊变结构控制及应用 控制与决策 Vol．7 No．1 J 1992 p．36-40
[44] 王熙法 遗传算法及其应用 小型微型计算机系统 Vol，16 No．2 Feb 1995 p．59-64
[45] M. Teshnehlab K. Watanabe Self tuning of computed torque gains by using neural networks with flexible structures IEE Proc-Control Theory Appl, Vol. 141, No. 4, July 1994
[46] H. Wang M. Brown C. J. Harris Neural network modelling of unknown nonlinear systems subjective to immeasurable disturbances IEE Proc-Control Theory Appl, Vol. 141, No. 4, July 1994
[47] 周金荣 黄道 蒋慰孙 遗传算法的改进及其应用研究 控制与决策 Vol．10 No．3 May 1995 p．261-264
[48] 刘守俊 李序葆 电力电子器件与变流调速技术的进展 电气自动化
[49] 张军英 方敏 智能PID控制器及其自学习 黑龙江自动化 Vol．11 NO 1 1992 p．20-23
[50] 程威 陈雪松 一种高性能交流伺服系统统 冶金自动化 Vol．16 No．4 May 1992 p．41-43
[51] 张兴 异步电机矢量控制调速系统设计 电气自动化
[52] Tsugutoshi Ohtani, Noriyuki Takada, and Koji Tanaka Vector Control of Induction Motor without Shaft Encoder IEEE Trans. on Industry Applications, Vol. 28, No. 1, Jan./Feb. 1992 p. 157-164
[53] John Y. Hung, Weibing Gao, and James C. Hung, Variable Structure Control: A Survey IEEE Trans, on Industrial Electronics, Vol. 40, No. 1, February. 1993 p.2-22
[54] 宋宜斌 MCS96控制的高性能CNC交流进给伺服系统的研究 电气传动 No4 1993 p．39-43
[55] 郑载满 游林儒 曲延滨 二自由度控制的鲁棒伺服系统 电气传动 No2 1992 p．23-26
[56] 王东兴 李世卿 矢量控制时感应电机传递函数和变参数速度调节器 No4 1989 p 29-34
[57] 马晓亮 异步电动机的矢量控制和解耦控制 电气传动 No4 1992 p．8-12
[58] 周永鹏等 CNC机床进给位置伺服的单片机控制
[59] G. Lightbody Prof. G. W. Irwin Direct neural model reference adaptive control IEE Proc-Control Theory Appl, Vol. 142, No. 1, January 1995
[60] J. Zhang A. J. Morris Fuzzy neural neyworks for nonlinear systems modelling IEE Proc-Control Theory Appl, Vol. 142, No. 6, November 1995
[61] C. L. Chen W. C. Chen F. Y. Chang Hybrid learning algorithm for Gaussian potential function networks IEE PROCEEDINGS-D, Vol. 140, No.6, NOVERMBER. 1993
[62] 高国桑 黄扬 林强 基于二次型性能指标的最优跟踪系统设计 电气传动 No6 1992 p．9-16
[63] D. A. Linkens H. O. Nyongesa Genetic algorithms for fuzzy control Part 1: Offline system development and application IEE Proc-Control Theory Appl, Vol. 142, No. 3, May 1995
[64] 徐宁寿 系统辨识技术及其应用 机械工业出版社 1986
[65] D. A. Linkens H. O. Nyongesa Genetic algorithms for fuzzy control Part 1: Online system development and application IEE Proc-Control Theory and Appl, Vol. 142, No. 3, May 1995
[66] Isao Takahashi, and Shigeru Itoh A Simple Positioning Servo System by Breaking Control IEEE Trans. on Industry Applications, Vol. 28, No. 6, Nov./Dec. 1992 p.1314-1321
[67] 侯远龙 金安石 变结构模糊控制系统的实验研究 电气传动 No1 1993 p．25-28
[68] M. Godoy Simoes, and Bimal K. Bose, Neural Network Based Estimation of Feedback Signals for a Vector Controlled Induction Motor Drive IEEE Trans. on Industry Applications, Vol. 31, No. 3, MAY/JUNE 1995 p. 620-629
[69] 郭建宏 陈小琳 伺服系统的变结构控制器设计 控制与决策 Vol．4 No．3 1989 p．22-26
[70] Nobuyuki Matsui, and Masakane Shiyo, Brushless dc Motor Control without Position and Speed Seniors IEEE Trans. on Industry Applications, Vol. 28, No. 1, Jan./Feb. 1992 p. 120-127
[71] Akihoko Matsushita, and Takeshi Tsuchiya, Decoupled Preview Control System and Its Application to Induction Motor Drive IEEE Trans. on Industrial Electronics, Vol. 42, No. 1, February. 1995 p. 50-57
[72] 许大中 交流电机调速理论 浙江大学出版社 1991
[73] 陈伯时 徐荫定 电流滞环控制PWM逆变器异步电动机的非线性解耦控制系统 自动化学报 Vol．20 No．1 Jan 1994 p．50-55
[74] Katsuhisa Furuta, VSS Type Self-Tuning Control IEEE Trans. on Industrial Electronics, Vol. 40, No. 1, February. 1993 p.37-44
[75] Weibing Gao, and James C. Hung, VAriable Structure Control of Nonlinear System: A New Approach IEEE Trans. on Industrial Electronics, Vol. 40, No. Ⅰ, February. 1993 p. 45-55
[76] 范俊广 数控机床及其应用 机械工业出版社
[77] High-Performance Decoupling Control Techniques for Various Rotating Field Machines IEEE Trans. on Industrial Electronics, Vol. 42, No. 1, February. 1995 p. 40-49
[78] 冯国楠 现代伺服系统的分析与设计 机械工业出版社
[79] Neyram Hemati, and Ming C. Leu, A Complete Model Characterization of B rushless dc Motors IEEE Trans. on Industry, Applications, Vol. 28, No. 1, Jan./Feb. 1992 p. 172-180
[80] 秦忆等编著 现代交流伺服系统 华中理工大学出版社 1995
[81] Joachim Holtz Pulsewidth Modulation-A Survey IEEE Trans. on Industrial Electronics, Vol. 39, No. 5, December. 1992 p. 410-420
[82] 周其节 徐建闽 神经元网络控制系统的研究与展望 控制理论与应用 Vol．9 No．6 Dec 1992 p．569-577
[83] Percy P. C. Yip, and Yoh-Han Pao, A Recurrent Neural net Approach to One-Step Ahead Control Problems IEEE Trans. on S. M. C. Vol. 24, No. 4, APRIL 1994 p. 678-683
[84] 蔡自兴 智能控制 电子工业出版社 1990
[85] Tetsuro Yabuta, and Takayuki Yamada Neural Network Controller Charateristics with Regard to Adaptive Control IEEE Trans: on S. M. C. Vol. 22, No. 1, Nan./Feb. 1992 p170-177
[86] 徐承忠 数字伺服系统 国防工业出版社
[87] J. L. Castro Fuzzy Logic Controllers Are Universal Approximators IEEE Trans. on S. M. C. Vol. 25, No. 4, APRIL 1995 p629-635
[881 Barak A. Pearlmutter Gradient Calculations for Dynamic Recurrent Neural Networks: A Survey IEEE Tran. on Neural Networks, Vol. 6 No. 5 SEPTEMBER, 1995 p1212-1227
[89] D. W. Clarke, C. Mohtadi, and P. S. Tuffs Generalized Predictive ControlPart Ⅰ. The Basic Algorithm Automatica, Vol. 23, No. 2 1987 p137-148
[90] D. W. Clarke, C. Mohtadi, and P. S. Tuffs Generalized Predictive ControlPart Ⅱ. Extensions and Interpretations Automatica, Vol. 23, No. 2 1987 p149-160
[91] D. W. Clarke, and C. Mohtadi Properties of Generalized Predictive Control Automatica, Vol. 25, No. 6 1989 p859-875
[92] J. H. Yang, W. H. Yu and L. C. Fu, Nonlienear Observer-Based Adaptive Tracking Control for Induction Motors with Unknown Load IEEE trans IE, Vol. 142, No. 6, Dec. 1995, p579-586
[93] 曾乐生 施妙和 随动系统 北京工业学院出版社 1988
[94] G. C. D. Sousa, B. K. Bose, and J. G. Cleland, Fuzzy Logic Based On-line Efficiency Optimization Control of an Indirect Vector Controlled Induction Motor, IEEE trans IE, Vol. 142, No. 2, Apri. 1995, p192-198
[95] C. M. Liaw and S. Y. Cheng, Fuzzy Two-Degree-of-freedom Speed Control for Motor Drves, IEEE trans IE, Vol. 142, No. 2, Apri. 1995, p209-206
[96] 刘竞成 交流调速系统 上海交通大学版社 1984
[97] M. Bodson, J. Chiasson, and R. T. Novotnak, Nonlinear Speed Observer for High-Performance Induction Motor Control, IEEE trans IE, Vol. 142, No. 3, June 1995, p337-343
[98] 凌东胜 混合神经网络在高精度伺服系统中的应用 浙江大学硕士论文
[99] S. Kobayashi, I. Awaya, HKuromaru, and K. Oshitani, Dynamic Model Based Auto-Tunning Digital Servo Driver, IEEE trans IE, Vol. 142, No. 5, Oct. 1995, p462-466
[100] T. H. Lee, T. S. Low, J. X. Xu, and H K. Lim, Offset-Free Combined Neural Network/Switching Control for Nonlinear Servomechanisms with DSP-Based Implementation, IEEE trans IE, Vol. 142, No. 1, Feb. 1995, p1-8
[101] 竺钦先 机床数字控制 航空工业出版社
[102] Y. S. Kung, C. M. Liaw, and M. S. Ouyang, Adaptive Speed Control for Induction Motor Drives Using Nueral Networks, IEEE trans IE, Vol. 142, No. 1, Feb. 1995, p17-24
[103] Panos J. Antsaklis, Intelligent Learing Control, IEEE trans Control System, Vol. 15, No. 3, Jun. 1995, p5-7
[104] Donald S. Reg, Mehran Mirkazemi Moud, Tim C. Green, and Barry W. Williams, Switched Reluctance Motor Control Via Fuzzy Adaptive Systems, IEEE trans Control System, Vol. 15, No. 3,Jun. 1995, p8-15
[105] T. R. Niesler and J. J. du Plessis, Time-Optimal Control by means of Nueral Networks, IEEE trans Control System, Vol. 15, No. 5, Oct. 1995, p23-33
[106] Anderas Draeger, Sebastian Engell, and Horst Ranke, Model Predictive Control Using Neural Networks, IEEE trans Control System, Vol. 15, No. 5, Oct. 1995, p61-66
[107] L. Behera, S. Chaudhury and M. Gopal, Neuro-Adaptive hybrid Controller for Robot-Manipulator tracking Control, IEE Proceedings-Control Theory and Application, Vol. 143, No. 3, May 1996, p270-275
[108] 田宏奇 滑模控制理论及其应用 武汉出版社 1995
[109] H AI-Duwaish, M. N. Karim and V. Chandrasekar, Use of Mulitilayer Feedforward neural networks in identification and Control of Wiener Model, IEE Proceedings-Control Theory and Application, Vol. 143, No, 3, May 1996, p255-258
[110] 周德泽 电气传动控制系统的设计 机械工业出版社 1985
[111] 张立明 人工神经网络的模型及其应用 复旦大学出版社
[112] 郭庆鼎 王成元，交流伺服系统 机械工业出版社
[113] 李士勇等编著 模糊控制和智能控制理论与应用 哈尔滨工业大学出版社 1990
[114] 焦李成编著 神经网络计算 西安电子科技大学出版社 1993
[115] 焦李成著 神经网络系统理论 西安电子科技大学出版社 1995
[116] 上海开通数控公司 AC200交流伺服驱动系统说明书
[2] 陈伯时 电力拖动自动控制系统 机械工业出版社 1992
[3] L. Jin P. N. NiKikiforuk M. M. Gupta Direct adaptive output tracking control using multilayered neural networks IEE PROCEEDINGSD, Vol. 140, No. 6, NOVEMBER 1993
[4] L. Jin P. N. Nikiforuk M. M. Gupta Adaptive control of discrete-time nonlinear systems using recurrent neural networks IEE Proc-Control Theory Appl, Vol. 141, No. 3, May 1994
[5] 白焰 线性和二次型多层神经网络的学习速度 信息与控制 Vol．23 No．5 Oct．1994 p．308-310
[6] YAOCHU JIN JINGPING JIANG AND JING ZHU Adaptive fuzzy modelling and identification with its. applications INT. J. SYSTEMSCI, Vol. 26, No. 2, 1995 p. 197-212
[7] 李刚民 沈寿金 单片机开发和调试DSP应用系统初探 EACS’92 p．556-560
[8] 徐承忠 朗澄宇 数字伺服系统的一种时间次优控制算法 电气传动 No6 92 p．5-8
[9] Yuzi Izuno, Ryuzo Takeda, and Mttsuo Nakaoka New Fuzzy ReasoningBased High-Performance Speed/Position Servo Control Schemes Incorporating Ultrasonic Motor IEEE Trans. on Industry Applications, Vol. 28, No. 3, MAY/JUNE 1992 p. 613-618
[10] 邓志东 孙增沂 刘建伟 神经网络异步自学习控制系统 自动化学报 Vol．21 No．5 Sep 1995 p．629-633
[11] 王耀南 童调生 蔡自兴 基于神经元网络的智能PID控制及应用 信 息与控制 Vol．23 No．3 Jane 1994 p．185-189
[12] 史国庆 赵庆生 基于神经元网络的模型算法控制 信息与控制 Vol．23 No．3 Jane 1994 p．173-177
[13] George A. Rovithakis, and Manolis A. Christodoulou, Adaptive Control of Unknown Plants Using Dynamical Neural Networks IEEE Trans. on S. M. C. Vol. 24, No. 3, MARCH 1994 p. 400-411
[14] 陈建勤 陈来九 基于自适应神经元学习模糊控制规则 控制与决策 Vol．9 No．5 Sept 1994 p．350-354
[15] 王隆杰 毛宗源 利用神经网络进行推理的模糊控制 控制理论与应用 Vol．11 No．4 Aug 1994 p．508-512
[16] 孙德保 高超 一种实用的克服局部极小的BP算法研究 信息与控制 Vol．24 No．5 Oct 1995 p．283-287
[17] 袁军 黄心汉 陈锦江 基于单个神经元的机器人自适应控制 控制理论与应用 Vol．11 No．1 Feb 1994 p．89-93
[18] 周金荣 黄道 蒋慰孙 一种新型神经网络模型的研究 信息与控制 Vol．23 No．1 Feb 1994 p．22-26
[19] 王耀南 一类动态递归神经网络的智能控制器 控制与决策 Vol．10 No．6 Nov 1995 p．508-513
[20] 张铃 张钹 神经网络中BP算法的分析 模式识别与智能控制 Vol．7 No．3 Sept 1994 p．191-195
[21] 胡建元 黄心汉 袁军 陈锦江 采用单个神经元的PID学习控制 控制与决策 Vol．8 No．2 Mar 1993 p．135-138
[22] Vadim I. Utkin Sliding Mode Control Design Principles and Applications to Electric Drives IEEE Trans. on Industrial Electronics, Vol. 40, No. 1, February. 1993 p. 23-36
[23] 毛宗源 邱焕耀 感应电动机解耦变结构控制系统抖振抑制和消除的研 究 自动化学报 Vol．20 No．2 Mar 1994 p 169-175
[24] 张邦礼 李银国 曹长修 非线性系统神经网络辨识的鲁棒BP算法 控制与决策 Vol．11 No．1 Jan 1996 p．22-27
[25] 夏承光 肖锦 王晓冬 位置伺服系统的学习控制研究 自动化学报 Vol．18 No．1 Jan 1992 p．54-63
[26] 冯勇 徐殿国 王炎 变磁阻电机的计算机控制 电工技术学报 Vol．No．1 1995 p．39-43
[27] 马晓军 王小捷 文传源 基于神经网络的非线性系统的输出调节 控制与决策 Vol．10 No-3 May 1995 p．279-283
[28] 高文忠 顾树生 前馈神经网络的新算法及其收敛性 控制与决策 Vol．10 No．3 May 1995 13．284-288
[29] Amin Suyitno, J. Fujikawa, H. Kobayashi, and Yasuhiko Dote, VariableStructured Robust Controller by Fuzzy Logic for Servomotors IEEE Trans. on Industrial Electronics, Vol. 40, No. 1, February. 1992 p. 80-88
[30] Atsushi Ishigame, Tadashi Furukawa, Shunji Kawamoto, and Tsuneo Taniguchi, Sliding Mode Controller Design Based on Fuzzy Inference for Nonlinear Systems IEEE Trans. on Industrial Electronics, Vol. 40, No. 1, February. 1992 p. 64-70
[31] 许力 一种局部化的反向传播网络 控制与决策 Vol．10 No．2 Mar 1995 p．148-152
[32] 金耀初 蒋静坪 诸静 结合模糊推理的多变量神经自适应控制 信息与控制 Vol．23 No．4 Aug 1994
[33] 邓志东 孙增沂 张再兴 一种模糊CMAC神经网络 自动化学报 Vol．21 No．3 May 1995 p．288-293
[34] H. S. Lee and M. Tomizuka Robust Motion Controller Design for HighAccuracv Position System IEEE Trans IE, Vol. 143, No. 1, Feb. 1996
[35] 上谷武士·江上 正 合著 廖福成 译 最新自动控制技术-数字预见 控制 北京科学技术出版社 1994
[36] K. K. Shyu and H. J. Shieh Variable Structure Current Control for Induction Motor Drives by Space Voltage Vector PWM IEEE trans IE, Vol 142, No. 6, Dec 1995, p. 572-578
[37] 易武 李力争 模糊控制器的一种加权平均算法 控制与决策 Vol．7 No．5 Sept 1992 p．382-385
[38] M. H. Perng H. H. Chang Intelligent supervision of servo control IEE PROCEEDINGS-D, Vol. 140, No. 6, NOVERMBER. 1993 p. 405-412
[39] 刘又午 数字控制机床 机械工业出版社
[40] R. N. Danbury Near time-optimal control of nonlinear servomechanisms IEE Proc-Control Theory Appl, Vol. 141, No. 3, May 1994
[41] V. Etxebarria, PhD Adaptive control of discrete system using neural networks IEE Proc-Control Theory Appl, Vol. 141, No. 4, July 1994
[42] 王金章 杨辉 模糊调节器参数的在线自整定 控制与决策 Vol．4 No．4 1989 p．40-45
[43] 金耀初 蒋静坪 一类非线性系统的模糊变结构控制及应用 控制与决策 Vol．7 No．1 J 1992 p．36-40
[44] 王熙法 遗传算法及其应用 小型微型计算机系统 Vol，16 No．2 Feb 1995 p．59-64
[45] M. Teshnehlab K. Watanabe Self tuning of computed torque gains by using neural networks with flexible structures IEE Proc-Control Theory Appl, Vol. 141, No. 4, July 1994
[46] H. Wang M. Brown C. J. Harris Neural network modelling of unknown nonlinear systems subjective to immeasurable disturbances IEE Proc-Control Theory Appl, Vol. 141, No. 4, July 1994
[47] 周金荣 黄道 蒋慰孙 遗传算法的改进及其应用研究 控制与决策 Vol．10 No．3 May 1995 p．261-264
[48] 刘守俊 李序葆 电力电子器件与变流调速技术的进展 电气自动化
[49] 张军英 方敏 智能PID控制器及其自学习 黑龙江自动化 Vol．11 NO 1 1992 p．20-23
[50] 程威 陈雪松 一种高性能交流伺服系统统 冶金自动化 Vol．16 No．4 May 1992 p．41-43
[51] 张兴 异步电机矢量控制调速系统设计 电气自动化
[52] Tsugutoshi Ohtani, Noriyuki Takada, and Koji Tanaka Vector Control of Induction Motor without Shaft Encoder IEEE Trans. on Industry Applications, Vol. 28, No. 1, Jan./Feb. 1992 p. 157-164
[53] John Y. Hung, Weibing Gao, and James C. Hung, Variable Structure Control: A Survey IEEE Trans, on Industrial Electronics, Vol. 40, No. 1, February. 1993 p.2-22
[54] 宋宜斌 MCS96控制的高性能CNC交流进给伺服系统的研究 电气传动 No4 1993 p．39-43
[55] 郑载满 游林儒 曲延滨 二自由度控制的鲁棒伺服系统 电气传动 No2 1992 p．23-26
[56] 王东兴 李世卿 矢量控制时感应电机传递函数和变参数速度调节器 No4 1989 p 29-34
[57] 马晓亮 异步电动机的矢量控制和解耦控制 电气传动 No4 1992 p．8-12
[58] 周永鹏等 CNC机床进给位置伺服的单片机控制
[59] G. Lightbody Prof. G. W. Irwin Direct neural model reference adaptive control IEE Proc-Control Theory Appl, Vol. 142, No. 1, January 1995
[60] J. Zhang A. J. Morris Fuzzy neural neyworks for nonlinear systems modelling IEE Proc-Control Theory Appl, Vol. 142, No. 6, November 1995
[61] C. L. Chen W. C. Chen F. Y. Chang Hybrid learning algorithm for Gaussian potential function networks IEE PROCEEDINGS-D, Vol. 140, No.6, NOVERMBER. 1993
[62] 高国桑 黄扬 林强 基于二次型性能指标的最优跟踪系统设计 电气传动 No6 1992 p．9-16
[63] D. A. Linkens H. O. Nyongesa Genetic algorithms for fuzzy control Part 1: Offline system development and application IEE Proc-Control Theory Appl, Vol. 142, No. 3, May 1995
[64] 徐宁寿 系统辨识技术及其应用 机械工业出版社 1986
[65] D. A. Linkens H. O. Nyongesa Genetic algorithms for fuzzy control Part 1: Online system development and application IEE Proc-Control Theory and Appl, Vol. 142, No. 3, May 1995
[66] Isao Takahashi, and Shigeru Itoh A Simple Positioning Servo System by Breaking Control IEEE Trans. on Industry Applications, Vol. 28, No. 6, Nov./Dec. 1992 p.1314-1321
[67] 侯远龙 金安石 变结构模糊控制系统的实验研究 电气传动 No1 1993 p．25-28
[68] M. Godoy Simoes, and Bimal K. Bose, Neural Network Based Estimation of Feedback Signals for a Vector Controlled Induction Motor Drive IEEE Trans. on Industry Applications, Vol. 31, No. 3, MAY/JUNE 1995 p. 620-629
[69] 郭建宏 陈小琳 伺服系统的变结构控制器设计 控制与决策 Vol．4 No．3 1989 p．22-26
[70] Nobuyuki Matsui, and Masakane Shiyo, Brushless dc Motor Control without Position and Speed Seniors IEEE Trans. on Industry Applications, Vol. 28, No. 1, Jan./Feb. 1992 p. 120-127
[71] Akihoko Matsushita, and Takeshi Tsuchiya, Decoupled Preview Control System and Its Application to Induction Motor Drive IEEE Trans. on Industrial Electronics, Vol. 42, No. 1, February. 1995 p. 50-57
[72] 许大中 交流电机调速理论 浙江大学出版社 1991
[73] 陈伯时 徐荫定 电流滞环控制PWM逆变器异步电动机的非线性解耦控制系统 自动化学报 Vol．20 No．1 Jan 1994 p．50-55
[74] Katsuhisa Furuta, VSS Type Self-Tuning Control IEEE Trans. on Industrial Electronics, Vol. 40, No. 1, February. 1993 p.37-44
[75] Weibing Gao, and James C. Hung, VAriable Structure Control of Nonlinear System: A New Approach IEEE Trans. on Industrial Electronics, Vol. 40, No. Ⅰ, February. 1993 p. 45-55
[76] 范俊广 数控机床及其应用 机械工业出版社
[77] High-Performance Decoupling Control Techniques for Various Rotating Field Machines IEEE Trans. on Industrial Electronics, Vol. 42, No. 1, February. 1995 p. 40-49
[78] 冯国楠 现代伺服系统的分析与设计 机械工业出版社
[79] Neyram Hemati, and Ming C. Leu, A Complete Model Characterization of B rushless dc Motors IEEE Trans. on Industry, Applications, Vol. 28, No. 1, Jan./Feb. 1992 p. 172-180
[80] 秦忆等编著 现代交流伺服系统 华中理工大学出版社 1995
[81] Joachim Holtz Pulsewidth Modulation-A Survey IEEE Trans. on Industrial Electronics, Vol. 39, No. 5, December. 1992 p. 410-420
[82] 周其节 徐建闽 神经元网络控制系统的研究与展望 控制理论与应用 Vol．9 No．6 Dec 1992 p．569-577
[83] Percy P. C. Yip, and Yoh-Han Pao, A Recurrent Neural net Approach to One-Step Ahead Control Problems IEEE Trans. on S. M. C. Vol. 24, No. 4, APRIL 1994 p. 678-683
[84] 蔡自兴 智能控制 电子工业出版社 1990
[85] Tetsuro Yabuta, and Takayuki Yamada Neural Network Controller Charateristics with Regard to Adaptive Control IEEE Trans: on S. M. C. Vol. 22, No. 1, Nan./Feb. 1992 p170-177
[86] 徐承忠 数字伺服系统 国防工业出版社
[87] J. L. Castro Fuzzy Logic Controllers Are Universal Approximators IEEE Trans. on S. M. C. Vol. 25, No. 4, APRIL 1995 p629-635
[881 Barak A. Pearlmutter Gradient Calculations for Dynamic Recurrent Neural Networks: A Survey IEEE Tran. on Neural Networks, Vol. 6 No. 5 SEPTEMBER, 1995 p1212-1227
[89] D. W. Clarke, C. Mohtadi, and P. S. Tuffs Generalized Predictive ControlPart Ⅰ. The Basic Algorithm Automatica, Vol. 23, No. 2 1987 p137-148
[90] D. W. Clarke, C. Mohtadi, and P. S. Tuffs Generalized Predictive ControlPart Ⅱ. Extensions and Interpretations Automatica, Vol. 23, No. 2 1987 p149-160
[91] D. W. Clarke, and C. Mohtadi Properties of Generalized Predictive Control Automatica, Vol. 25, No. 6 1989 p859-875
[92] J. H. Yang, W. H. Yu and L. C. Fu, Nonlienear Observer-Based Adaptive Tracking Control for Induction Motors with Unknown Load IEEE trans IE, Vol. 142, No. 6, Dec. 1995, p579-586
[93] 曾乐生 施妙和 随动系统 北京工业学院出版社 1988
[94] G. C. D. Sousa, B. K. Bose, and J. G. Cleland, Fuzzy Logic Based On-line Efficiency Optimization Control of an Indirect Vector Controlled Induction Motor, IEEE trans IE, Vol. 142, No. 2, Apri. 1995, p192-198
[95] C. M. Liaw and S. Y. Cheng, Fuzzy Two-Degree-of-freedom Speed Control for Motor Drves, IEEE trans IE, Vol. 142, No. 2, Apri. 1995, p209-206
[96] 刘竞成 交流调速系统 上海交通大学版社 1984
[97] M. Bodson, J. Chiasson, and R. T. Novotnak, Nonlinear Speed Observer for High-Performance Induction Motor Control, IEEE trans IE, Vol. 142, No. 3, June 1995, p337-343
[98] 凌东胜 混合神经网络在高精度伺服系统中的应用 浙江大学硕士论文
[99] S. Kobayashi, I. Awaya, HKuromaru, and K. Oshitani, Dynamic Model Based Auto-Tunning Digital Servo Driver, IEEE trans IE, Vol. 142, No. 5, Oct. 1995, p462-466
[100] T. H. Lee, T. S. Low, J. X. Xu, and H K. Lim, Offset-Free Combined Neural Network/Switching Control for Nonlinear Servomechanisms with DSP-Based Implementation, IEEE trans IE, Vol. 142, No. 1, Feb. 1995, p1-8
[101] 竺钦先 机床数字控制 航空工业出版社
[102] Y. S. Kung, C. M. Liaw, and M. S. Ouyang, Adaptive Speed Control for Induction Motor Drives Using Nueral Networks, IEEE trans IE, Vol. 142, No. 1, Feb. 1995, p17-24
[103] Panos J. Antsaklis, Intelligent Learing Control, IEEE trans Control System, Vol. 15, No. 3, Jun. 1995, p5-7
[104] Donald S. Reg, Mehran Mirkazemi Moud, Tim C. Green, and Barry W. Williams, Switched Reluctance Motor Control Via Fuzzy Adaptive Systems, IEEE trans Control System, Vol. 15, No. 3,Jun. 1995, p8-15
[105] T. R. Niesler and J. J. du Plessis, Time-Optimal Control by means of Nueral Networks, IEEE trans Control System, Vol. 15, No. 5, Oct. 1995, p23-33
[106] Anderas Draeger, Sebastian Engell, and Horst Ranke, Model Predictive Control Using Neural Networks, IEEE trans Control System, Vol. 15, No. 5, Oct. 1995, p61-66
[107] L. Behera, S. Chaudhury and M. Gopal, Neuro-Adaptive hybrid Controller for Robot-Manipulator tracking Control, IEE Proceedings-Control Theory and Application, Vol. 143, No. 3, May 1996, p270-275
[108] 田宏奇 滑模控制理论及其应用 武汉出版社 1995
[109] H AI-Duwaish, M. N. Karim and V. Chandrasekar, Use of Mulitilayer Feedforward neural networks in identification and Control of Wiener Model, IEE Proceedings-Control Theory and Application, Vol. 143, No, 3, May 1996, p255-258
[110] 周德泽 电气传动控制系统的设计 机械工业出版社 1985
[111] 张立明 人工神经网络的模型及其应用 复旦大学出版社
[112] 郭庆鼎 王成元，交流伺服系统 机械工业出版社
[113] 李士勇等编著 模糊控制和智能控制理论与应用 哈尔滨工业大学出版社 1990
[114] 焦李成编著 神经网络计算 西安电子科技大学出版社 1993
[115] 焦李成著 神经网络系统理论 西安电子科技大学出版社 1995
[116] 上海开通数控公司 AC200交流伺服驱动系统说明书