The Simulation On NN Predictive Control System Of Magneto-rheological Damper

Magnetorheological (MR) fluid damper has been a new high performance and intelligentized shock-absorber which can be controlled, and which has some excellences, such as simple structure, little using power, big output power and rapid response, and which can be expediently combined with microcompute control, can be used on the field of structure damping. MR damper is based on the theory of the controllable characteristic of magnetorheological fluid. Therefore, the key problem in application is the control system of MR damper. Based on its characteristic of active vibration control, the problem which need to be solved is to give out MR damper's calculating model and control strategy.This paper, which is based on the studying status, carries the theoretic analysis and research through the establishment and analysis of the design, making calculating model, control and simulation of MR shock-absorber, and make conclusions like these:(1)Making MR damper as the control object, the thesis establishes the dynamics model.(2)Making MR shock-absorber as objective,the thesis has analyaised three control methods, and confirmed semi-active control.(3)Combined the development of the control system of MR shork-absorber, the thesis has designed control strategy, that is NN Predictive Controller.(4)The thesis combines BP(Back Propagation) arithmetic and the technology of predictive control.(5)This thesis designs a neural network controller based on the MATLAB neural network toolbox and transform artificial neural networks into form of Simulink correspondingly by using function of MATLAB. Combined the technology of predictive control, the thesis designs the simulation model, and use experimental data to train, identify and simulate. Compared to experimental results, the simulation results illustrate the availability and feasibility of this means in theory.