Abstract
In this study, we designed a feedback linearization control strategy for linear permanent magnet synchronous motors (LPMSMs) as well as a robust control mechanism. First, the highly nonlinear system was transformed into an exact linear system by the feedback linearization technique. Then, we designed a robust controller to mitigate the impact of system parameter disturbances on system performance. This novel robust feedback controller can be applied to electromagnetic force, speed and position control loops in linear motors, correct the errors created by uncertainty factors in the entire system in real time, and set the system’s settling time based on the application environment of the plant. Finally, we performed simulations and experiments using a PC-based motor control system, which demonstrated that the proposed robust feedback controller can achieve good performance in the controlled system with robust anti-disturbance control.
Highlights
Recent advances in electronics and microprocessor technology have enabled the realization of high-performance motor control
A simple and robust controller design that does not require complex calculations is needed for feedback linearization when the ultimate objective is to enhance the precision of the motor speed and position in a wide range of industrial applications
The parameters of the Linear permanent magnet synchronous motors (LPMSMs) used in the experiment were identical to those of the motor in the computer simulation
Summary
Recent advances in electronics and microprocessor technology have enabled the realization of high-performance motor control. Linear permanent magnet synchronous motors (LPMSMs) are capable of greater torque (both steady-state and transient) than linear induction motors (LIMs) of the same size, while providing superior efficiency. This has led to their widespread application in situations where very fast torque-response and high-performance control are required [1]. Proportional Integral (PI) controllers are generally used to control the speed and two-axis current control loops of permanent magnet synchronous motors with vector control due to its simplicity and effectiveness. In 2009, Ghafari-Kashani applied H-infinity robustness control theory in designing the K value of the transition matrix in a closed loop system to ensure stability in compliance with existing standards [4]. In 2012, 2013 and 2018, Choi, Ananthamoorthy and Pei used fuzzy control logic to tune the PI controllers of LPMSMs online [5,6,7]
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