Fuzzy Inference System for Throttle Control of Pedal-Assist Electric Bicycle

 
 
 
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  • Abstract


    Electric bicycles have played an important role as an environment-friendly and healthy alternative for personal mobility. Pedal-assist bicycles, also known as electric-assist or power-assist bicycles, are one of the two kinds of electric bicycles that offer flexibility to the rider by allowing a combination of electric and human power for driving the bicycle. This study aims to develop a fuzzy inference system for controlling the throttle input of an electric bicycle intended to operate as pedal-assist. Bicycle acceleration and cadence angular acceleration are used as inputs to the fuzzy inference system, with the throttle control as output. Data are gathered based on several inputs and the performance of the control algorithm is analyzed.


  • References


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Article ID: 22886
 
DOI: 10.14419/ijet.v7i4.16.22886




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