The Study And Application On Adaptive Inverse Control Based On Neural Network

In paper, we focus on combination between wallet neural network and adaptive inverse control, Furthermore,we take a discussion on control for object with inertia and lag. It is our goal to propose a new control method upon adaptive inverse control based on wallet neural network aiming at eliminating noise on object, and to determine dynamic performance. At end of paper, simulation is made by adaptive inverse control based on neural network on steam temperature which has great inertia and lag to verify its practicality. We make simulation experiments on representative system such as linear-system, nonlinear-system, time-varying system and system with inertia and lag and on steam temperature especially, to prove advantages of adaptive inverse control based on neural network theoretically. Against shortages of Adaptive Inverse Control, We add predication part to make real time control on lag system come true.