Adaptive Feedforward Control Based on Estimated Electromagnetic Parameters upon a Novel Two-Degrees-of-Freedom Actuator with a Unibody Magnetic Circuit

Zhaoxi Yi, Meizhu Luo (), Ji-an Duan and Yan Jiang
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Zhaoxi Yi: College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China
Meizhu Luo: College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China
Ji-an Duan: College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China
Yan Jiang: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China

Energies, 2024, vol. 17, issue 12, 1-16

Abstract: This paper focuses on the study of the tracking performance of a novel two-degrees-of-freedom (two-DOF) voice coil motor (VCM). Intelligent control algorithms estimate the motor control model by the relationship between the input and output values, and it is hard to achieve excellent tracking performance due to the wider variational range of motor electromagnetic parameters (MEPs). This paper proposes estimated methods for MEPs and an adaptive feedforward control algorithm based on estimated MEPs (ACBE). ACBE can alter its control parameters from inside out in time with the change in MEPs. Experiments are carried out to verify that the proposed ACBE realized excellent tracking performance upon the novel two-DOF VCM. This study indicates that an adaptive control algorithm with high-precision control parameters has better tracking performance upon a motor control model with large variation.

Keywords: fitted adaptive fuzzy controller (FAFC); linear motor servo system; tracking performance (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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