摘要
本文以误差和误差变化率为输入,利用模糊推理的方法实现了对PID参数的在线自动整定,并且在MATLAB环境下对该控制器进行了设计和仿真。从仿真结果可以看出,参数自整定模糊PID控制器控制效果优于传统PID控制器,提高了系统的动静态性能。这种混合系统把PID控制的简便性与Fuzzy控制的灵活性以及鲁棒性融为一体,发挥了传统控制与Fuzzy控制的各自长处,具有较强的实际意义,对进一步应用研究具有较大的参考价值。
In this paper, error and error change are taken as inputs, a fuzzy inference method is utilized to realize automatic regulating PID parameters, and the controller is designed and simulated with MATLAB. The result of simulation indicates that fuzzy PID controller with self-adjusting parameters is superior to traditional PID controller and it can improve the dynamic and static properties of the control system .This mixing system combines with convenience of PID control and flexibleness and robustness of fuzzy control. It makes good use of respective advantages of traditional control and fuzzy control, and has a strong practical significance and a high reference value for further applications.
出处
《微计算机信息》
2009年第1期48-49,40,共3页
Control & Automation
基金
基于直线倒立摆的PID控制系统设计及实现基金颁发部门:国家863计划(2006AA040600)
