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Modelling and simulation of a fuzzy controller of automatic transmission of a tracked vehicle in complicated driving conditions

Abstract Based on a human-vehicle-road closed-loop system of vehicle steering parameter, road surface status, and driver manipulating information, the primary principle of fuzzy intelligent shift control of a tracked vehicle is proposed and the simulation model of a drivetrain is established to adapt the automatic transmission to the complex driving conditions of a tracked vehicle. Using the fuzzy control theory, an intelligent fuzzy shift control system composed of a basic fuzzy shift strategy and a fuzzy modification module is developed to improve the dynamic characteristics and cross-country manoeuvrability. The simulation result shows that the fuzzy shift strategy can improve the shift quality of a tracked vehicle under manifold driving conditions and avoid shift cycling effectively, therefore proving that the intelligent fuzzy shift strategies are better.