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.
Enhanced fuzzy‐logic‐based power‐assisted control with user‐adaptive systems for human‐electric bikes
IET Intelligent Transport Systems ; 13 , 10 ; 1492-1498
2019-10-01
7 pages
Article (Journal)
Electronic Resource
English
power‐assisted controller design , public bike‐sharing systems , fuzzy control , short‐range city commuters , bicycles , enhanced fuzzy‐logic‐based power‐assisted control , electric motor , power‐assisted regulation , user‐adaptive mechanism , user‐adaptive systems , human‐electric bikes , control system synthesis , riding comfort , electric vehicles , human rider , fuzzy parameters , comfortability , power control
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