Real‐time extremum seeking controller for brushless DC hub motors in electric vehicles
Author(s) -
Ramaraj Ramachandran,
Dharmaraj Ganeshaperumal,
Srinivasan Seshadhri,
Balasubramanian Subathra,
Periyasamy Muthuvel,
Bekiroglu Korkut
Publication year - 2020
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
ISSN - 1751-8679
DOI - 10.1049/iet-epa.2020.0117
Subject(s) - dc motor , control theory (sociology) , controller (irrigation) , brushed dc electric motor , electric motor , electric vehicle , control engineering , engineering , automotive engineering , computer science , electrical engineering , ac motor , physics , control (management) , power (physics) , artificial intelligence , quantum mechanics , agronomy , biology
This study presents an extremum seeking‐proportional–integral and derivative (ES‐PID) controller design for brushless direct current motors and its implementation in electric vehicles. The ES‐PID controller aims to simultaneously maintain a speed set‐point and reduce torque ripples in the presence of load‐torque disturbances. The proposed ES‐PID combines the simplicity of a PID controller with an extremum seeking approach, a model‐free optimisation approach, thereby resulting in an optimal controller that can be realised on simple hardware (with limited computing power and memory). In addition, a theoretical analysis of the proposed ES‐PID control scheme in terms of stability and convergence is also presented. Performance evaluation of the proposed ES‐PID controller using both simulations and hardware experiments are presented. The results clearly illustrate the ability of the controller to track speed set‐point and reduce torque ripples in the presence of load‐torque variations.
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