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 strong-coupling 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 air-cushioned 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.