Application of Intelligent PID Control for Robot

被引：0

作者：

Ma Li-xin ^{[1
]}

Shi Dao-nian ^{[1
]}

Chen Min-xuan ^{[2
]}

Wang Xiao-qin ^{[1
]}

机构：

[1] Shanghai Univ Sci & Technol, Coll Comp & Elect Engn, Shanghai 200093, Peoples R China

[2] Shanghai Univ Sci & Technol, Coll Opt & Elect Infomat Engn, Shanghai 200093, Peoples R China

来源：

2008 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2 | 2008年

关键词：

PID (Proportional Integral Derivative); BP Neural Networks; real time control;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

On the basis of analysing the error of robot that results from walking in plane, a new PID controller with BP neural networks is proposed in the paper. The BP Neural Network algorithm is used in PID control because it could adjust parameters itself in real time. By using the BP Neural Network PID controller, the robot can go straight accurately. Simulation results demonstrate that the new PID controller with BP Neural Networks can not only overcome uncertainties and external disturbances, but also get rather good requirement of tracking precision, thus possess better robustness and control performance.

引用

页码：814 / +

页数：2

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