A Design of Pid Controllers Fused Cmacs with Neural Networks

Several neural-net based PID controllers have been proposed for nonlinear process systems. However, they have been not so widely used in process industries due to the considerably computational cost. This paper presents a new intelligent PID tuning scheme, whose PID tuner is constructed by the fusional structure of a cerebellar model articulation controller and a neural network. This PID tuner gives us the higher learning efficiency which has not been realized by the conventional neural-net based controllers, and it enables us to tune PID gains in an on-line manner. The behaviour of the proposed scheme is examined by a simulation example for a chemical reactor model.