Research on Fuzzy Adaptive Washout Algorithm of Train Driving Simulator

As the most potential proprioceptive simulation algorithm exploiting human motion sensations at present,the coordinated adaptive washout algorithm has not been widely applied because of its complicated calculation process,time-consuming duration and instability.To overcome the difficulty of real-time solution of the adaptive parameters in the algorithm,a new fuzzy adaptive washout algorithm is proposed in combination with the fuzzy characters of human motion sensations.The fuzzy reasoning knowledge base of the relations between the adaptive parameters and the characters of real locomotive movements and kinaesthesia errors is established on the basis of the fuzzy control theory.Simple and easy fuzzy deducing is adopted to adjust the adaptive parameters in real time.The system stability is verified according to the Lauth Criteria.Referring to the high speed train driving simulator being developed by the State Key Laboratory of Traction Power,the simulation results show that the new algorithm is characterized by simple form,less calculation time,better system stability and higher simulation fidelity within smaller movement space.A new thought is provided for study of the proprioceptive simulation algorithm.