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Article
Extreme learning machine-based field-oriented feedback linearization speed control of permanent magnetic synchronous motors
An extreme learning machine (ELM)-based field-oriented feedback linearization speed control (ELMFOFLC) is proposed to enhance the robustness and tracking performance of a permanent magnetic synchronous motor (...
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Article
Extreme learning machine-based super-twisting repetitive control for aperiodic disturbance, parameter uncertainty, friction, and backlash compensations of a brushless DC servo motor
This paper presents an extreme learning machine-based super-twisting repetitive control (ELMSTRC) to improve the tracking accuracy of periodic signal with less chattering. The proposed algorithm is robust agai...
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Article
Super twisting observer based repetitive control for aperiodic disturbance rejection in a brushless DC servo motor
This paper presents a super twisting observer based repetitive control (STORC), which can not only track the periodic signals precisely, but also reject aperiodic disturbances. Firstly, a stable repetitive con...