摘要
本文提出了一种基于新的优化修正函数的模糊控制方法,该方法根据误差E和误差变化EC修改规则调整因子α,不仅体现了按误差大小自动调节误差E对控制作用的权重,而且也考虑到误差变化EC在系统的各个运行阶段时控制性能有不同的影响,从而使该模糊控制器具有更好的适应非线性、时变、不确定性等复杂难控对象的能力。最后利用MATLAB的SIMULINK进行仿真研究,结果表明,该控制器具有较强的抗干扰能力和鲁棒性,有较好的动、静态控制精度。
This paper presents a fuzzy controller method based on a new optimal correction function,which tunes the rule scaling factor α based on error E and error change EC,and it not only seff-tunes the weight of error E in the control effect according to error E,but also considers that error change EC plays an different role in each movement stage in the system .Therefore,the fuzzy controller has the greater ability of adapting to such complexity and hard control objects,as non-lined Time-variant uncertainty and so on.In the end simulates it by SIMULINK of MATLAB and the simulation results prove that the controler has strong anti-jamming capacity,robustness and fairly good accuracy in its static and dynamic control performances.
出处
《微计算机信息》
北大核心
2005年第10S期26-27,67,共3页
Control & Automation
基金
广东省自然科学基金(编号:040089)
