Control of Multivariable Couple System Based on Improved PID Neural Networks

摘要：

The paper analyzes the characteristics and the situation of the control of multivariable couple system, combining improved PID neural networks with PSO algorithm, and finally designs a suitable controller model. To achieve a controller model, an initial structure of PID neural networks is established in the first place. Then weights in the network is initialized by PSO algorithm and optimized by improved gradient descent algorithm. A simulation, MIMO couple system, prove this controller has such characteristics with short time and high precision. The research of the paper provides a new idea and approach for control of complex couple system.

关键词： Couple System Multivariable Particle Swarm Optimization (PSO) PID Neural Network

作者: Jun Kang Wenjun Meng

作者单位: School of Mechanical Engineering, Taiyuan University of Science and Technology, China Software Schoo School of Mechanical Engineering, Taiyuan University of Science and Technology, China

会议类型: 国际会议

会议名称: 2011 International Conference on Mechatronics and Applied Mechanics(2011年机电一体化与应用力学国际会议 ICMAM 2011)

会议地点: 香港

会议语种:英文

页码: 386-389

在线出版日期: 2011-12-27（万方平台首次上网日期，不代表论文的发表时间）