基于模糊算法的2D伺服阀控制器的研究
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摘要
为了提升2D伺服阀电-机械转换器的控制性能,建立了一种基于模糊控制在线参数调节控制算法的2D伺服阀控制器。在2D伺服阀硬件主芯片采用TMS320F2812_DSP微处理器的基础上,采用先进的模糊控制算法与传统的PID控制相结合的模糊PID控制策略,将模糊控制的鲁棒性好、适应性强以及PID控制可对控制参数进行实时调节等有效地结合起来。根据2D伺服阀电-机械转换器测试所需要的条件,搭建2D伺服阀电-机械转换器试验系统对2D伺服阀电-机械转换器的性能进行测试。实验结果验证了所设计的模糊控制算法的控制器是一种较为理想的控制方法,系统具有较高的性能,能改善步进电机控制系统中存在的失步、振荡现象,实现在线修正,电-机械转换器的频宽从之前的260 Hz提高到380 Hz。
In order to improve the control performance of the 2 D servo-valve electromechanical converter, a 2 D servo valve controller based on fuzzy control algorithm with online parameter adjusting is established. On the basis of the main chip microprocessor TMS320 F2812 DSP is used in 2 D servo valve hardware, the fuzzy PID control strategy combined with advanced fuzzy control algorithm and traditional PID control is adopted, so the fuzzy control of good robustness, strong adaptability and PID control to adjust the control parameters in real time are combined effectively. According to the requirements of the 2 D servo valve electromechanical converter test, the performance of 2 D servo valve electromechanical converter is tested. The experimental results show that the controller is ideal for the fuzzy control algorithm. The frequency width of the electromechanical converter is raised from 260 Hz to 380 Hz.
In order to improve the control performance of the 2 D servo-valve electromechanical converter, a 2 D servo valve controller based on fuzzy control algorithm with online parameter adjusting is established. On the basis of the main chip microprocessor TMS320 F2812 DSP is used in 2 D servo valve hardware, the fuzzy PID control strategy combined with advanced fuzzy control algorithm and traditional PID control is adopted, so the fuzzy control of good robustness, strong adaptability and PID control to adjust the control parameters in real time are combined effectively. According to the requirements of the 2 D servo valve electromechanical converter test, the performance of 2 D servo valve electromechanical converter is tested. The experimental results show that the controller is ideal for the fuzzy control algorithm. The frequency width of the electromechanical converter is raised from 260 Hz to 380 Hz.
引文
[1] 阮健,崔凯,李胜.大流量2D伺服阀新型控制器的研究[J].浙江工业大学学报,2015,43(2):154-158.
[2] 韩俊伟.电液伺服系统的发展与应用[J].机床与液压,2012,40(2):7-10.
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[5] 李士勇.模糊控制[M].哈尔滨:哈尔滨工业大学出版社,2011.
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[2] 韩俊伟.电液伺服系统的发展与应用[J].机床与液压,2012,40(2):7-10.
[3] 胡俊飞,阮健,李胜,等.电液高频疲劳试验机的控制系统设计研究[J].浙江工业大学学报,2015,43(1):58-61.
[4] 李胜.2D伺服阀数字控制的关键技术的研究[D].杭州:浙江工业大学,2011.
[5] 李士勇.模糊控制[M].哈尔滨:哈尔滨工业大学出版社,2011.
[6] 潘健,刘梦薇.步进电机控制策略研究[J].现代电子技术,2009,32(15):143-145.
[7] 董辉,高阳,张文安,等.基于增强微分器的永磁同步电机速度控制研究[J].浙江工业大学学报,2015,43(4):445-449.
[8] 顾卫钢.手把手教你学DSP——基于TMS320X281x[M].北京:北京航空航天大学出版社,2011.
[9] 余驰,李健仁,张刚峰.两相混合式步进电机的建模与仿真[J].兵工自动化,2016,35(2):48-51.
[10] 石辛民,郝整清.模糊控制及其MATLAB仿真[M].北京:清华大学出版社,2008.
[11] 陶永华,尹怡欣,葛芦生.新型PID控制及其运用[M].北京:机械工业出版社,1998.
[12] 张凯.1 000 L/min 2D数字伺服阀的设计及其关键技术研究[D].杭州:浙江工业大学,2011.