Semi-Active Control Strategy of Shimmy of Straddle-Type Monorail Vehicle and Its Effectiveness Analysis

As an important way of energy saving and environmental protection, the lateral stability of straddle-type monorail vehicle (STMV) has attracted more and more attention. In order to solve this problem, a semi-active lateral control strategy of STMV dynamic model based on magnetorheological fluid damper is proposed. The inverse model of magnetorheological damper is constructed by neural network. An adaptive neural fuzzy algorithm for STMV dynamic model based on body acceleration and velocity feedback is designed, and its feasibility is verified by Kalman filter method. Through the simulation comparison of lateral acceleration and yaw angular acceleration, the control method has good measurement accuracy and can meet the needs of practical engineering measurement. It provides a method and basis for the stability and effectiveness of STMV swing semi-active control.