Study of grey predictive-fuzzy control for MR semi-active suspension

The bench tests of damping force controllability, response characteristic in time and frequency domain have been done for a special magneto-rheological (MR) damper. A dynamic model of quarter vehicle semi-active suspension system has been established. For improving the performance of traditional fuzzy controller (TFC) on the MR suspension, a grey predictive-fuzzy controller (GPFC) is proposed based on the grey prediction algorithm which is used to estimate the next-step output of system and then as the input of TFC. It makes the TFC possess a function of pre-compensation for the system error. Simulation contrast analysis among skyhook control, TFC and GPFC has been presented and the bench test of quarter vehicle suspension has been done so as to verify the effectiveness of the proposed control strategy. The results show that the MR damper can respond fast and as well with wide frequency bandwidth. Both the simulation and test results demonstrate that the performance of the GPFC is the best, and the time response is superior to that of TFC, but slower than that of sky-hook control.