Design and research for a multivariable neural network PID decoupling control algorithm with predictive compensation function
Analyzing and summarizing the advantages of the traditional decoupling algorithms, a new intelligent decoupling controller based on BP neural network PID with predictive compensation is designed to reduce the influence between the variables in multivariable, nonlinear and strongcoupling system. This kind of algorithm gains a decoupling performance by improving the structure of the traditional neural network PID algorithm. It also combines prediction control idea, which can accelerate the decoupling control speed and reduce the initial control overshoot effectively. Finally, the results of simulations using the mathematical model of aircushioned headbox indicate that the algorithm has the characteristics of simple realization, quick dynamic behavior and small overshoot, which can be regarded as an innovation and improvement for the traditional decoupling algorithm.
decoupling control predictive compensation neural network PID air-cushioned headbox
PAN Hai-peng XU Yu-ying
School of Mechanism and Automation Zhejiang Science and Technology University Hangzhou, China
国际会议
太原
英文
360-364
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）