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Optimal Fractional-Order Active Disturbance Rejection Controller Design for PMSM Speed Servo System

Pengchong Chen, Ying Luo, Yibing Peng, YangQuan Chen

2021Entropy10 citationsDOIOpen Access PDF

Abstract

In this paper, a fractional-order active disturbance rejection controller (FOADRC), combining a fractional-order proportional derivative (FOPD) controller and an extended state observer (ESO), is proposed for a permanent magnet synchronous motor (PMSM) speed servo system. The global stable region in the parameter (Kp, Kd, μ)-space corresponding to the observer bandwidth ωo can be obtained by D-decomposition method. To achieve a satisfied tracking and anti-load disturbance performance, an optimal ADRC tuning strategy is proposed. This tuning strategy is applicable to both FOADRC and integer-order active disturbance rejection controller (IOADRC). The tuning method not only meets user-specified frequency-domain indicators but also achieves a time-domain performance index. Simulation and experimental results demonstrate that the proposed FOADRC achieves better speed tracking, and more robustness to external disturbance performances than traditional IOADRC and typical Proportional-Integral-Derivative (PID) controller. For example, the JITAE for speed tracking of the designed FOADRC are less than 52.59% and 55.36% of the JITAE of IOADRC and PID controller, respectively. Besides, the JITAE for anti-load disturbance of the designed FOADRC are less than 17.11% and 52.50% of the JITAE of IOADRC and PID controller, respectively.

Topics & Concepts

Control theory (sociology)PID controllerRobustness (evolution)Active disturbance rejection controlServomechanismComputer sciencePermanent magnet synchronous motorFractional calculusServoState observerControl engineeringMathematicsMagnetEngineeringNonlinear systemPhysicsChemistryControl (management)Quantum mechanicsApplied mathematicsTemperature controlArtificial intelligenceGeneMechanical engineeringBiochemistryAdvanced Control Systems DesignIterative Learning Control SystemsSensorless Control of Electric Motors