摘要
针对工业控制中大惯性、纯滞后、参数时变非线性受控对象难于控制问题,结合Smith预估算法能有效克服纯滞后、模糊控制鲁棒性较强以及PID控制稳态精度高这三者的优点,提出了一种模糊PID-Smith控制器的设计方法,并将其应用于电机网络控制系统中。MATLAB仿真结果表明,新的控制方案与传统的Smith控制器、Fuzzy-PID控制器相比,不仅具有满意的控制性能,而且具有较强鲁棒性和抗干扰性能,稳态精度高,对时变滞后对象具有良好的控制效果。
For the large inertia,delay,non-linear time-varying parameters of the controlled objects which are difficult to control in industrial control,combined with the three advantages of Smith predictor algorithm can overcome the delay effectively,fuzzy control' strong robustnss and the high steady-state accuracy of PID control,proposed a fuzzy PID-Smith controller design method,and applied to network control system of motor.MATLAB simulation results show that compared to with the traditional Smith controller and Fuzzy-PID controller,the new control scheme not only has satisfactory control performance,but also has strong robustness and anti-jamming performance,this kind of method 's accuracy of the steady-state is high and has good control effect on time variable delay objects.
出处
《软件导刊》
2011年第5期31-33,共3页
Software Guide
基金
广西研究生教育创新计划基金项目(2009105960811M14)