Dynamic performance simulation of a continuously variable transmission motorcycle for fuzzy autopilot design

This paper describes the modelling technique of a continuously variable transmission (CVT) motorcycle for control strategy design of an autopilot on a driving cycle test bench. The simulation is carried out on a code which is the combination of an engine cycle simulation synthesis, a dynamic CVT driveline algorithm, a chassis dynamometer model and a fuzzy autopilot controller. The autopilot, which is a robot driver, includes a throttle actuator and a brake handle controller. Fundamental fuzzy theories were employed to simulate the control strategy of an experienced driver, also to form a feedback control loop for the simulation. The whole simulation package is capable of predicting the motorcycle performance under dynamic road conditions, such as ECE R40 and USA FTP75 driving patterns. Simulation results of a baseline motorcycle, equipped with a 125 cm(3) four-stroke engine plus a rubber belt CVT system, are demonstrated in this paper. Parametric studies are used to design the control strategy of the autopilot as well as to improve the design of the powertrain system of the motorcycle.