Indirect fuzzy contour tracking for X – Y PMSM actuated motion system applications

Abstract

In this study, the authors present a control method for the permanent magnet synchronous motor (PMSM) driven X-Y motion system for application in industrial and manufacturing apparatus. Backlash and friction effects in ball-screw actuated systems are common obstacles to achieve high-accuracy control. The authors investigate the indirect fuzzy controller to demonstrate the feasibility of reference trajectory tracking and derive an adaptive law in the error state space to deal with parameter uncertainties and external disturbances. The authors adjust the fuzzy parameters online, based on the Lyapunov stability theorem, such that the asymptotic stability of the whole system and error convergence can be guaranteed. In the authors' experiments, this indirect fuzzy control approach compensated for the non-linear friction and disturbance variation of the biaxial linear stage following the application of four contour shapes, i.e. square, triangular, star, and circular reference contours. Both the authors' simulation and experimental results demonstrate substantial improvement in contour tracking performance in terms of average tracking error and tracking error standard deviation, as well as robustness against platform uncertainties.

Model Predictive Control of Five-Phase Permanent Magnet Assisted Synchronous Reluctance Motor

“…However, the permanent magnet synchronous motor (PMSM) has been gaining attention for its high performance in terms of efficiency, controllability and torque density even though it is relatively costly [5,6]. With the definite advantages, PMSM has become a prospect in many emerging performance critical applications such as electrified transportation and military [7,8]. The basic PMSM is evolved in different directions to facilitate different objectives.…”

Variable damping injection control of PMSM drive systems based on isolated shoot‐through Z‐source inverter

“…A sliding‐mode control method is used to control the DC‐link voltage in PMSM fed by Z‐source inverter [17]. In addition, the intelligent control methods [18], like neural control [19] are applied in this field. However, these control strategies are complicated and difficult to implement.…”