PROJECT TITLE :

Neuro-Adaptive Fault-Tolerant Approach for Active Suspension Control of High-Speed Trains

ABSTRACT:

Excessive lateral and roll motions of a high-speed train would possibly endanger its operational safety. This paper investigates how to suppress those motions via a lively-suspension technique. By exploiting the structural properties of the system model and also the triangular control gain, a new management theme capable of attenuating immeasurable disturbances, compensating modeling uncertainties, and accommodating actuation faults is developed. Compared with most existing methods, the proposed method will not need precise information on the suspension parameters and also the detail system model. Moreover, the magnitude of the actuation fault and therefore the time instant at which the actuation fault occurs are not needed in putting in and implementing the proposed management scheme. The controller is tested and validated via pc simulations in the presence of parametric uncertainties and ranging operation conditions.