A design of non-linear electro-pneumatic servo systems by using neural-net based linearizer with off-line learning algorithm

Many electro-pneumatic servo systems have strong nonlinear property because of compressible air in cylinders. To control their systems, a neural network(NN) based linearizer with off line learning is proposed. The augmented system which consists of the controlled object and the linearizer is controlled by a linear controller. The point of the learning algorithm of the NN is to estimate from the actual input of the controlled object to the input of the augmented object directly.