Parameter Identification of Permanent Magnet Synchronous Linear Motors Using Multi-Innovation Least Squares Method
Permanent Magnet Synchronous Linear Motor， Parameter Identification， Multi-innovation Least Squares
Control methods for linear drives
Final Paper
Su-Dan Huang / Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots; College of Mechatronics and Control Engineering; Shenzhen University
This paper proposes a parameter identification method of dynamics models for permanent magnet synchronous linear motors (PMSLMs) to improve the accuracy of modelling of PMSLMs. A linear discrete transfer function of the PMSLM is first presented. Combining the recursive least squares method (RLSM) and multi-innovation least square method (MILSM), the parameters of the linear dynamics model are then identified. Simulation is performed using RLSM with or without MILSM. Simulation results are given and compared. The effectiveness of the proposed method is verified finally.
