Multi-variable PID neural network control systems and their application to coordination control

The structure and learning algorithm of the multi-variable PID neural network control system are presented,and the method for system parameter selection as well as the features of the coordination control of units is illuminated.Simulations show that the above control system has perfect decoupling and self-learning control performance for multi-variable strong-coupled timevarying coordination control systems.