Adaptive Control of an Inverted Pendulum Using Adaptive PID Neural Network

被引：6

作者：

Fallahi, Mohsen ^{[1
]}

Azadi, Sassan ^{[1
]}

机构：

[1] Semnan Univ, Dept Mechatron Engn, Semnan, Iran

来源：

PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING SYSTEMS | 2009年

关键词：

Adaptive control; Inverted Pendulum; Neural Network; PID; RELAY FEEDBACK; SLIDING MODE; ALGORITHM;

D O I：

10.1109/ICSPS.2009.110

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a new method for adaptive control of nonlinear systems using neural networks and Proportional-Integral-Derivative (PID) methodology is proposed. In this method, a PID control and adaptive linear neural network is used to control a inverted pendulum with uncertainities and external disturbances. The system consists of an inverted pole hinged on a cart which is free to move in the x direction. The performance of the proposed method is demonstrated via simulations.

引用

页码：589 / 593

页数：5

共 17 条

[1] Application of adaptive PID control with genetic algorithm to a polymerization reactor [J].