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Received:April 14, 2011 Revised:May 22, 2011
Received:April 14, 2011 Revised:May 22, 2011
中文摘要: 根据控制对象的特性,把卡尔曼滤波器和采用参数自适应的模糊PID 算法相结合,在具有控制干扰和测量噪声的恶劣环境下,实现对PID 参数在线调整的同时,基本消除干扰和噪声影响。应用MATLAB 软件编程进行仿真,结果表明相对于传统PID 和模糊PID 控制,本控制系统对被控对象的时变性和非线性具有良好的适应能力,对控制干扰和测量噪声具有很好的抑制作用。
Abstract:According to the characteristics of controlled object, kalman filter and parameter self-adaptive fuzzy PID algorithm are combined together. In controlling interference and measurement noise in harsh environments, the implementation of the PID parameters on-line adjustments, and basic elimination of interference and noise. Compared with traditional PID and Fuzzy-PID control with MATLAB programming simulation, this method has adaptability to the system which has the characteristic of time variation, uncertainty and non-linearity. The system to control interference and measurement noise has a good inhibitory effect.
keywords: kalman Fuzzy PID interference MATLAB programming simulation
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基金项目:国家自然科学基金(30971689);中央高校基本科研业务费专项资金(JUSRP10927)
引用文本：
贾岩,熊伟丽,许文强,徐保国.卡尔曼滤波器结合模糊PID的控制系统.计算机系统应用,2011,20(12):29-32
JIA Yan,XIONG Wei-Li,XU Wen-Qiang,XU Bao-Guo.Fuzzy-PID and Kalman Filter Control System.COMPUTER SYSTEMS APPLICATIONS,2011,20(12):29-32
贾岩,熊伟丽,许文强,徐保国.卡尔曼滤波器结合模糊PID的控制系统.计算机系统应用,2011,20(12):29-32
JIA Yan,XIONG Wei-Li,XU Wen-Qiang,XU Bao-Guo.Fuzzy-PID and Kalman Filter Control System.COMPUTER SYSTEMS APPLICATIONS,2011,20(12):29-32
