Fuzzy-PID and Kalman Filter Control System
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    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.

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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

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  • Received:April 14,2011
  • Revised:May 22,2011
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