Open AccessLow speed control and implementation of permanent magnet synchronous motor for mechanical elastic energy storage device with simultaneous variations of inertia and torque
Author(s) -
Yu Yang,
Mi Zengqiang,
Guo Xudong,
Xu Yikun,
Zhao Tong
Publication year - 2016
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.815
H-Index - 97
eISSN - 1751-8679
pISSN - 1751-8660
DOI - 10.1049/iet-epa.2015.0159
Subject(s) - control theory (sociology) , backstepping , torque , inertia , synchronous motor , torsion spring , magnet , stator , moment of inertia , recursive least squares filter , computer science , control engineering , engineering , adaptive control , control (management) , physics , algorithm , mechanical engineering , classical mechanics , quantum mechanics , artificial intelligence , adaptive filter , electrical engineering , thermodynamics
The spiral torsion spring‐based mechanical elastic energy storage (MEES) device presented previously with inherent characteristic of simultaneous variations of inertia and torque is disadvantage to be actuated by conventional control method. This study proposes an improved non‐linear backstepping control scheme based on combination of recursive least squares (RLS) and differential evolution (DE) optimisation to regulate permanent magnet synchronous motor (PMSM) at a very low speed and control MEES device effectively. For this presented control scheme, first, a single RLS method with forgetting factor is presented to simultaneously estimate the time‐varying inertia and torque of MEES device. Second, on the basis of estimation results, an improved non‐linear backstepping control algorithm considering parameter variations in derivation process is proposed to drive PMSM to operate at a very low speed. Finally, a self‐adaptive parameter DE method is designed to optimise the several control parameters. The performance of the proposed methodology is verified through simulations and experiments.