Neural Based PID Control for Networked Processes

摘要：

A neural based PID feedback control method for networked process control systems is presented. As there are some uncertain factors such as external disturbance, randomly delayed measurements or control demands in real networked process control systems, the proposed PID controller is implemented by backpropagation neural networks whose weights are updated via minimizing tracking error entropy of closed loop systems. To demonstrate the potential applications of the proposed strategy, an example of a simulated batch reactor is provided. The proposed design method is shown to be useful and effective in dealing with network process control systems.

作者: J. Chen N. Cheng J. Zhang

作者单位: Department of Chemical Engineering, Chung-Yuan Christian University, Chung-Li, Taiwan 320, Republic Department of Chemical Engineering, Chung-Yuan Christian University, Chung-Li, Taiwan 320, Republic Institute of Standards and Technology,Boulder, CO Beijing Key Laboratory of Industrial Process Measu

会议类型: 国际会议

会议名称: 2011 International Symposium on Advanced Control of Industrial Processes(2011工业过程先进控制技术国际研讨会)

会议地点: 杭州

会议语种:英文

页码: 466-471

在线出版日期: 2011-05-01（万方平台首次上网日期，不代表论文的发表时间）