摘要
为了提高无刷直流电机转速的动态性能和抗干扰性,提出一种新型的基于ARMAX模型的预测函数控制(PFC)与分数阶PI(FOPI)相结合的控制算法,通过在性能指标函数中引入预测输出误差,形成具有分数阶PI的结构。在无刷直流电机转速环的控制中,该算法通过递推最小二乘法在线辨识分数阶PI预测函数(FOPI-PFC)的预测模型,使得控制输入根据系统的预测模型的变化而不断滚动优化。仿真结果表明,FOPI-PFC控制算法不仅结合了分数阶PI静态误差小、上升速度快和预测函数无超调、计算量小及较强的鲁棒性等优点,还解决了预测控制模型失配和传统PI控制抗干扰性能差的问题。
In order to improve the dynamic performance and robustness of the brushless DC motor speed,a new control algorithm combining predictive function control based on ARMAX model and fractional-order PI is proposed in this pa- per. This algorithm forms the fractional-order PI structure by introducing predictive output error in the performance in- dex function. In the control of brushless DC motor speed loop, by recursive least squares method identifying FIOPI-PFC predictive models online, input values are constantly rolling optimized according to predictive models changes of the sys- tem. Simulation results show that the algorithm not only combines the advantages of predictive functions-no overshoot, small amount of calculation, strong robustness and the advantages of fractional-order PI-small steady-state errors, fast ris- ing velocity, but also solves poor performance of anti-jamming in traditional PI control and the mismatch of model in pre- dictive control.
出处
《武汉理工大学学报》
CAS
CSCD
北大核心
2013年第4期130-135,共6页
Journal of Wuhan University of Technology
基金
国家自然科学基金(61104073)
