Enhanced fuzzy-logic-based power-assisted control with user-adaptive systems for human-electric bikes

摘要

With the increasing attention to sustainability, several studies have attempted to develop human-electric bikes which provide the power to assist the human rider from an electric motor when the rider is pedalling. For such systems, the design of the power-assisted controller plays a critical role to ensure the comfort and safety of the rider. In practical situations, a bike may be utilised by multiple riders such as the users of bike-sharing systems. However, the influence of different human riders is seldom discussed in the power-assisted controller design. In this study, an enhanced fuzzy-logic-based control approach with a user-adaptive mechanism has been presented to online adjust the fuzzy parameters for power-assisted regulation so as to ensure the riding comfort and safety. Simulation results display that the proposed user-adaptive approach improves the comfortability and safety for the riding in urban areas. It is believed that the techniques presented in this study could further be adopted in public bike-sharing systems for short-range city commuters.