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.


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    Title :

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


    Contributors:

    Published in:

    Publication date :

    2019-10-01


    Size :

    7 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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