Study on Ann-Based Intelligent Self-Tuning PID Controller

被引：0
|
作者：
Xue, Shan [1 ]
Fan, Huilin [1 ]
Xu, Hongji [1 ]
机构：
[1] Changchun Univ Sci & Technol, Dept Mech Engn, Changchun, Jilin Province, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-7, CONFERENCE PROCEEDINGS | 2009年
关键词：
PID controller; MOBP neural network; System identification; Simulation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
PID controllers are widely used in the military field. But the conventional PID controller is difficult to be used for the nonlinear and imprecise mathematical model system, since its parameters can only be obtained from the system with accurate mathematical model. In this paper, the intelligent self-tuning PID controller based on neural network is designed for the system which is nonlinear and does not have mathematical model. The designed neural network of the controller can identify the real-time parameters and the controller can be used in the missile engine hung in the airplane to realize the PID control. The identification is simulated. The experimental results and simulation show that the intelligent self-tuning PID controller based on neural network is feasible. One of the difficulties that design the neural network is to determine the number of the layer, the neurons in the hidden layer and the learning rate. The other is to choose MOBP or SDBP network. To this point, this article has solved the problem for the intelligent self-tuning PID controller using in the missile engine hung in the airplane.
引用
收藏
页码：524 / 529
页数：6
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