| 基于粒子群算法和卡尔曼滤波器的PID控制 |
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| 引用本文： | 王江荣,李东旭. 基于粒子群算法和卡尔曼滤波器的PID控制[J]. 电气自动化, 2013, 0(6): 1-2,16 |
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| 作者姓名： | 王江荣 李东旭 |
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| 作者单位： | [1]兰州石化职业技术学院信息处理与控制工程系,甘肃兰州730060 [2]电子科技大学生命与技术学院,四川成都611731 |
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| 基金项目： | 甘肃省教育厅科研资助项目（00330715-01） |
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| 摘 要： | 针对PID控制系统中存在参数的整定和控制干扰信号和测量噪声信号问题,提出基于粒子群算法和卡尔曼滤波算法的PID控制方法。利用粒子算法优化PID参数,通过卡尔曼滤波器抑制控制干扰信号和测量噪声信号。仿真结果表明具有响应速度快、抗干扰能力强等特点,且达到了全局最优PID参数整定,有效地剔除系统的控制干扰和测量噪声信号,具有比传统PID控制方法更好的动态和静态控制性能,控制品质有较大的改善和提高。为PID控制系统的研究提供了一种新方法。
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| 关 键 词： | 粒子群算法 卡尔曼滤波器 PID控制 参数优化 仿真 |
PID Control Based on Particle Swarm Algorithm and Kalman Filter |
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| WANG Jiang-rong;LI Dong-xu. PID Control Based on Particle Swarm Algorithm and Kalman Filter[J]. Electrical Automation, 2013, 0(6): 1-2,16 |
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| Authors: | WANG Jiang-rong LI Dong-xu |
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| Affiliation: | WANG Jiang-rong;LI Dong-xu;Information Processing and Control Engineering Faculty, Lanzhou Petrochemical College of Technology;College of Life and Technology,University of Electronic Science and Technology; |
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| Abstract: | A PID control method based on particle swarm algorithm and Kalman filter is presented with respect to parameter tuning and control interference signal as well as measurement noise signal in the PID control system. The particle algorithm is used to optimize PID parameters,and the Kalman filter is used to suppress the control interference signal and measurement noise signal. As shown in the simulation result,this method of fast response and strong anti-interference ability can reach a globally optimal PID parameter tuning and effectively eliminate system control interference and measurement noise signal. It has a better dynamic and static control performance than the conventional PID control method,showing a better control quality. Thus,a new method is provided for the study of the PID control system. |
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| Keywords: | particle swarm algorithm Kalman filter PID control parameter optimization emulation |
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