Affiliation:
1. Sichuan University of Science and Engineering, School of Mec
2. Sichuan Police College, Intelligent Policing Key Laboratory
Abstract
<div class="section abstract"><div class="htmlview paragraph">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.</div></div>