一种量化因子改进型的模糊自适应PID控制算法

An Improved Fuzzy Adaptive PID Control Algorithm Based on Quantization Factor

针对模糊PID控制下的动态性能问题,提出一种量化因子改进型的模糊自适应PID(Fuzzy-PID)控制算法。在模糊量化环节引入模糊论域量化因子在线调整函数,实现对模糊量化因子的实时调整;将传统PID控制、传统模糊PID控制和量化因子改进性模糊PID控制,分别在100 kHz和200 kHz的系统频率下,进行单位阶跃输入信号下的动态性能对比实验。结果表明:该算法在2种系统频率下均能实现无超调,调节时间不超过0.15 s,其动态性能相较传统控制算法具有明显提升。

Aiming at the problem of dynamic performance under fuzzy PID control,a fuzzy-PID control algorithm based on improved quantitative factor is proposed.The online adjustment function of fuzzy domain quantization factor is introduced in the fuzzy quantization link to realize the real-time adjustment of fuzzy quantization factor.The dynamic performance comparison experiments of the traditional PID control,the traditional fuzzy PID control and the quantization factor improved fuzzy PID control are carried out under the unit step input signal at the system frequency of 100 kHz and 200 kHz,respectively.The results show that the algorithm can achieve no overshoot under two system frequencies,and the settling time is less than 0.15 s,and its dynamic performance is significantly improved compared with the traditional control algorithm.