基于模糊内核的改进非线性PID调速系统

Improved Non-linear PID Speed Control System Based on Fuzzy Kernel

为提高无刷直流电机伺服系统在瞬态和稳态环境下的控制性能,提出一种基于模糊内核的改进非线性PID(improved non-linear PID,INLPID)算法。验证改进非线性PID算法能消除非线性PID算法的缺陷,分析基于模糊内核的改进非线性PID算法在无刷直流电机调速系统中的调速性能,仿真实验证明该算法能完全消除系统稳态误差,且不会产生信号过调,在系统误差不超过2%的情况下,相比改进非线性PID算法能减少42.4%的上升时间,相比模糊PID算法能减少98.1%的上升时间,实现了无刷直流电机精准的速度调节与良好的稳态性能。

To improve the control performance of the brushless DC motor servo system in transient and steady-state environments,an improved Non-linear PID algorithm based on fuzzy kernel was proposed.It was verified that the INLPID algorithm could eliminate the defects of the nonlinear PID(INLPID)algorithm.And the speed control performance of the INLPID algorithm based on the fuzzy kernel was analyzed in the brushless DC motor speed control system.The simulation experiments show that the algorithm can completely eliminate the steady-state error of the system without generating signal overshoot.With the system error not exceeding 2%,the rise time can be reduced by 42.4%as against that of INLPID algorithm and 98.1%as against that of Fuzzy PID algorithm,by which the precise speed regulation and good steady-state performance of the brushless DC motor is realized.