基于模式识别的脉冲压力自适应控制
|
摘要
脉冲滴丸机压力控制系统是具有非线性、参数时变性和耦合性特征的复杂系统,系统响应要求快速、准确、鲁棒性强,但传统的控制方法如常规的固定参数的PID控制器很难使系统同时达到这种最优控制。因此,提出了将自适应控制、模式识别和PID控制相结合的思想,设计了一种基于模式识别的脉冲压力自适应控制策略,通过在线辩识系统的动态输出,根据系统响应所处的状态,采取相应的控制算法,使系统得到了较好的控制。MATLAB仿真和现场实验结果均表明该方法具有较高的动态性能和控制精度,以及较强的鲁棒性。该控制系统已成功投入现场运行。
The pulse pressure control system in pulse capsule forming machine is a nonlinear,time-variant and cou- pling system.The system requires good speed,accuracy and robustness performances,but they are hardly obtained simultaneously using traditional methods,such as preset parameter PID controller.To handle this problem,a new a- daptive control policy based on pattern recognition is proposed by combining adaptive control,pattern recognition and PID control technique,which can achieve better results and identify the dynamic output of the system on line using different control strategies.MATLAB simulation and physical experiment results show that the proposed method is ef- ficient in designing a robust pulse pressure control system for pulse capsule forming machine and has good dynamic characteristics,high accuracy and strong robustness.The proposed control system has already used in field applica- tion successfully.
The pulse pressure control system in pulse capsule forming machine is a nonlinear,time-variant and cou- pling system.The system requires good speed,accuracy and robustness performances,but they are hardly obtained simultaneously using traditional methods,such as preset parameter PID controller.To handle this problem,a new a- daptive control policy based on pattern recognition is proposed by combining adaptive control,pattern recognition and PID control technique,which can achieve better results and identify the dynamic output of the system on line using different control strategies.MATLAB simulation and physical experiment results show that the proposed method is ef- ficient in designing a robust pulse pressure control system for pulse capsule forming machine and has good dynamic characteristics,high accuracy and strong robustness.The proposed control system has already used in field applica- tion successfully.
引文
[1]金鑫，谭文，李志军，等．典型工业过程鲁棒PID控制器的整定[J]．控制理论与应用，2005，22(6)：947-953．JIN X,TAN W,LI ZH J,et al.Tuning of robust PID controllers for typical industrial processes[J].Control Theory Applications,2005,22(6):947-953.
[2]牛培峰，林宇，张君．高阶惯性系统自适应控制研究[J]．仪器仪表学报，2007，28(7)：1290—1294．NIU P F,LIN Y,ZHANG J.Study on adaptive control for high-order inertia system[J].Chinese Journal of Sci- entific Instrument,2007,28(7):1290-1294.
[3]LAN W,CHEN B M,DING Z.Adaptive estimation and rejection of unknown sinusoidal disturbances through measurement feedback for a class of nonminimum phase nonlinear MIMO systems[J].International Journal of A- daptive Control and Signal Processing,2006,20(2):77- 97.
[4]PIAO X L,PARK J H,CUI J,et al.Development of gas chromatographic/mass spectrometry pattern recognition method for the quality control of Korean Angelica[J]. Journal of Pharmaceutical and Biomedical Analysis, 2007,44:1163-1167.
[5] GAURI S K,CHAKRABORTY S.Feature-based recog- nition of control chart patterns[J].Computers & Indus- trial Engineering,2006,51:726-742.
[6]孟庆利，张敏政．基于模式识别的模糊半主动控制策略[J]．地震工程与工程振动，2005，25(6)：152—158．MENG Q L,ZHANG M ZH.Fuzzy control strategy based on mode identification used in semi-active control[J]. Earthquake Engineering and Engineering Vibration, 2005,25(6):152-158.
[7]SKOCZOWSKI S,DOMEK S,PIETRUSEWICZ K,et al.A method for improving the robustness of PID control [J].IEEE Transactions on Industrial Electronics, 2005,52(6):1669-1676.
[8]JEEA S,KOREN Y.Adaptive fuzzy logic controller for feed drives of a CNC machine tool[J].Mechatronics, 2004,14:299-326.
[9]STEWART P,STONE D A,FLEMING P J.Design of robust fuzzy-logic control systems by multi-objective evo- lutionary methods with hardware in the loop[J].Engi- neering Applications of Artificial Intelligence,2004,17: 275-284.
[10]王永初，任秀珍．工业过程控制系统设计范例[M]．北京：科学出版社，1986．WANG Y C,REN X ZH.Examples for industrial process control system[M].Beijing:Science Press,1986: 317-352.
[2]牛培峰，林宇，张君．高阶惯性系统自适应控制研究[J]．仪器仪表学报，2007，28(7)：1290—1294．NIU P F,LIN Y,ZHANG J.Study on adaptive control for high-order inertia system[J].Chinese Journal of Sci- entific Instrument,2007,28(7):1290-1294.
[3]LAN W,CHEN B M,DING Z.Adaptive estimation and rejection of unknown sinusoidal disturbances through measurement feedback for a class of nonminimum phase nonlinear MIMO systems[J].International Journal of A- daptive Control and Signal Processing,2006,20(2):77- 97.
[4]PIAO X L,PARK J H,CUI J,et al.Development of gas chromatographic/mass spectrometry pattern recognition method for the quality control of Korean Angelica[J]. Journal of Pharmaceutical and Biomedical Analysis, 2007,44:1163-1167.
[5] GAURI S K,CHAKRABORTY S.Feature-based recog- nition of control chart patterns[J].Computers & Indus- trial Engineering,2006,51:726-742.
[6]孟庆利，张敏政．基于模式识别的模糊半主动控制策略[J]．地震工程与工程振动，2005，25(6)：152—158．MENG Q L,ZHANG M ZH.Fuzzy control strategy based on mode identification used in semi-active control[J]. Earthquake Engineering and Engineering Vibration, 2005,25(6):152-158.
[7]SKOCZOWSKI S,DOMEK S,PIETRUSEWICZ K,et al.A method for improving the robustness of PID control [J].IEEE Transactions on Industrial Electronics, 2005,52(6):1669-1676.
[8]JEEA S,KOREN Y.Adaptive fuzzy logic controller for feed drives of a CNC machine tool[J].Mechatronics, 2004,14:299-326.
[9]STEWART P,STONE D A,FLEMING P J.Design of robust fuzzy-logic control systems by multi-objective evo- lutionary methods with hardware in the loop[J].Engi- neering Applications of Artificial Intelligence,2004,17: 275-284.
[10]王永初，任秀珍．工业过程控制系统设计范例[M]．北京：科学出版社，1986．WANG Y C,REN X ZH.Examples for industrial process control system[M].Beijing:Science Press,1986: 317-352.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心