Torque sensorless control of a human-electric hybrid bicycle

The aim of this paper is to design a torque sensorless controller for a human-electric hybrid bicycle. The human input torque is estimated using the disturbance observer to design the controller for electric motor to assist the cyclist based on the requirement. The closed loop stability is ensured for various assist condition as per the standard. Simulation results are presented to validate the proposed technique.

[1]  D.J.N. Limebeer,et al.  Bicycles, motorcycles, and models , 2006, IEEE Control Systems.

[2]  Honghai Liu,et al.  State of the Art in Vehicle Active Suspension Adaptive Control Systems Based on Intelligent Methodologies , 2008, IEEE Transactions on Intelligent Transportation Systems.

[3]  M Tomizuka,et al.  Robust disturbance observer design for a power-assist electric bicycle , 2010, Proceedings of the 2010 American Control Conference.

[4]  R. Miceli,et al.  Evaluation of performance and efficiency and type approval of an electrically assisted bicycle drive , 2013, 2013 International Conference on Renewable Energy Research and Applications (ICRERA).

[5]  N. Somchaiwong,et al.  Regenerative Power Control for Electric Bicycle , 2006, 2006 SICE-ICASE International Joint Conference.

[6]  A. Muetze,et al.  Electric bicycles - A performance evaluation , 2007, IEEE Industry Applications Magazine.

[7]  Ming-Ji Yang,et al.  A Cost-Effective Method of Electric Brake With Energy Regeneration for Electric Vehicles , 2009, IEEE Transactions on Industrial Electronics.

[8]  Din-Yuen Chan,et al.  A Reinforcement-Learning-Based Assisted Power Management With QoR Provisioning for Human–Electric Hybrid Bicycle , 2012, IEEE Transactions on Industrial Electronics.