无刷直流电机转速控制策略仿真研究

Simulation of Speed Control Strategy for Brushless DC Motor

在无刷直流电机(Brushless DC motor,BLDCM)转速控制优化问题的研究中,采用常规的PI、PID控制方法由于参数优化困难、对负载的适应力差等缺点,已无法满足控制性能要求。为了克服传统控制算法不能在线进行参数自整定的缺点,提高电机转速的动态性能和抗干扰性,具有更高的精度,提出了一种新型模糊PI预测函数控制算法,将模糊控制算法与PIPFC算法相结合,运用模糊逻辑控制实现PIPFC控制参数在线自整定,完善了常规的控制器。将模糊PIPFC控制算法应用于无刷直流电机转速系统中,通过MATLAB仿真,与PI控制器进行比较,模糊PIPFC控制器具有更好的控制效果。

Brushless DC motor （BLDCM, Brushless DC motor） control is one of the important problems in motor control, and the common PI, PID control methods cannot meet the control performance requirements because of the difficulties in parameter optimization and poor performance in load adaptability. In order to overcome the inability to adjust parameters online of traditional control algorithms, and to improve the dynamic performance and disturbance re- sistance, a Fuzzy PI Predictive Function Control （F-PIPFC） is provided, which combines fuzzy control with PIPFC algorithm, and it realizes the self-adjustment of PIPFC parameters with fuzzy logic and improves the conventional controllers. The F-PIPFC control algorithm is applied to a brushless DC motor speed system, and through the MAT- LAB simulation, the F-PIPFC controller has a better control effect.