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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 anti-interference of BLDCM, a new control algorithm based on ARMAX model, which combines PFC with Fractional PI (FOPI), is proposed. The output error is predicted to form a structure with fractional PI. In the control of brushless DC motor speed loop, the algorithm predicts the FOPI-PFC prediction model online by recursive least square method, so that the control input is continuously scrolled and optimized according to the change of the prediction model of the system. The simulation results show that the FOPI-PFC control algorithm not only combines the advantages of small static error of fractional PI, fast rise speed, no overshoot of prediction function, small amount of calculation and strong robustness, but also solves the problem of mismatch of predictive control model And traditional PI control the problem of poor anti-jamming performance.