基于模糊推理的自适应PID控制算法仿真

Simulating on the Adaptive PID Controlling Algorithm based on Fuzzy Inference

对时变不确定性系统要实现有效的控制,是实现全球智能化的必要一步,为此研究一种有效的时变控制系统算法具有极其重要的意义。为克服常规PID控制算法适应能力弱的缺点,结合模糊理论探究一种基于模糊推理的自适应PID控制算法。将模糊推理引入到PID控制策略中,仿真实验证明基于模糊推理的自适应PID控制算法提高了常规PID算法的适应能力及控制精度。

Time-varying uncertain systems to achieve effective control,is the necessary step to achieving global intelligence,and it is very important to research of an effective algorithm for time-varying control system.In order to overcome the weak adaptiveness of traditional PID algorithm,the paper combines the fuzzy theory and studies an adaptative PID algorithm,which is based on the fuzzy reasoning.When fuzzy reasoning is introduced into the course of the PID control,the adaptive PID controlling algorithm enhances the adaptability and controlling precision of traditional PID algorithm,which is showed in the simulating test.