Disturbance observer based speed control of PMSM using fractional order PI controller

Apte, Aishwarya; Thakar, Ujjwala; Joshi, Vandana

doi:10.1109/jas.2019.1911354

Cited by 48 publications

(22 citation statements)

References 18 publications

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“…However, the converter-driven DC motor system usually faces various disturbances/uncertainties, which are briefly summarized as follows: 1) unknown constant or timevarying load torques [5]; 2) unknown parametric uncertainties such as the external source voltage [6], the load resistor, the winding resistor [7] and so on; and 3) unmodeled dynamics such as the equivalent series resistance in converter systems and measurement error [8]. Due to the aforementioned challenges, researchers propose various control strategies to solve the angular velocity regulation problem therein, such as proportional-integral (PI) control [9], backstepping control [10], flatness-based tracking control [11], sliding mode control [12], robust control [13], ADRC [14] and so on.…”

Section: Introductionmentioning

confidence: 99%

A Model-Based Unmatched Disturbance Rejection Control Approach for Speed Regulation of a Converter-Driven DC Motor Using Output-Feedback

Zhang

Yang

2022

IEEE/CAA J. Autom. Sinica

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The speed regulation problem with only speed measurement is investigated in this paper for a permanent magnet direct current (DC) motor driven by a buck converter. By lumping all unknown matched/unmatched disturbances and uncertainties together, the traditional active disturbance rejection control (ADRC) approach provides an intuitive solution for the problem under consideration. However, for such a higher-order disturbed system, the increase of poles for the extended state observer (ESO) therein will lead to drastically growth of observer gains, which causes severe noise amplification. This paper aims to propose a new model-based disturbance rejection controller for the converter-driven DC motor system using output-feedback. Instead of estimating lumped disturbances directly, a new observer is constructed to estimate the desired steady state of control signal as well as errors between the real states and their desired steadystate responses. Thereafter, a controller with only speed measurement is proposed by utilizing the estimates. The performance of the proposed method is tested through experiments on dSPACE. It is further shown via numerical calculations and experimental results that the poles of the observer within the proposed control approach can be largely increased without significantly increasing magnitude of the observer gains.

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Section: Introductionmentioning

confidence: 99%

A Model-Based Unmatched Disturbance Rejection Control Approach for Speed Regulation of a Converter-Driven DC Motor Using Output-Feedback

Zhang

Yang

2022

IEEE/CAA J. Autom. Sinica

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“…6 In general, sensorless strategies mainly include high frequency signal injection method, direct torque control (DTC) 7 method and observer. 8–16 The research on observer-based PMSM control strategy has received extensive attention compared with other methods. In Xia et al, 11 a sliding mode control (SMC) with an adaptive law and an extended state observer are proposed.…”

Section: Introductionmentioning

confidence: 99%

Sensorless intelligent second-order integral sliding mode maximum power point tracking control for wind turbine system based on wind speed estimation

Xiao

Yang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part I:

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Aiming at the maximum power point tracking for wind turbine, a sensorless intelligent second-order integral sliding mode control based on wind speed estimation is proposed in this article. The maximum wind energy capture is realized by controlling permanent magnet synchronous motor to adjust the speed of wind turbine. First, an intelligent second-order integral sliding mode control is designed for the speed loop and current loop control, which has fast convergence speed, strong robustness and can effectively reduce chattering. Second, a novel cascade observer based on direct sliding mode observer and extended high-gain observer is used to estimate the rotor speed and position. Besides, combined radial basis function neural network is used to estimate the valid value of wind speed. Both simulation and experiment are implemented, which verify the effectiveness of the proposed strategy under the condition of considering both model uncertainty and external disturbance.

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“…Therefore, PMSMs are wildly used to drive the joints of the majority commercial manipulators. With the advantages of easy and simple implementation, the proportional-integral-derivative (PID) control method is often adopted in practical PMSM trajectory tracking control system [1]- [3]. This method can satisfy the control requirements to a certain extent when the mathematical model is accurate.…”

Section: Introductionmentioning

confidence: 99%

Robust Continuous Sliding Mode Control for Manipulator PMSM Trajectory Tracking System Under Time-Varying Uncertain Disturbances

et al. 2020

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This paper focuses on a robust continuous sliding mode control (RCSMC) method for manipulator PMSM trajectory tracking system under time-varying uncertain disturbances. The main objective of this study is to improve the trajectory tracking dynamic response and disturbances rejection ability of the manipulator PMSM, and then the manipulator itself, by using the RCSMC method. The RCSMC method consists of two key parts: a terminal continuous sliding mode controller (TCSMC), and an extended state observer (ESO). The TCSMC has been demonstrated to have remarkable capabilities to reduce the chattering phenomenon caused by high frequency switching function in the conventional sliding mode control law, and reject the strong time-varying uncertain disturbances for PMSM velocity loops. However, the high control gain, which could lead high velocity steady state fluctuations, is needed. Therefore, an extended state observer is introduced to estimate the disturbances. The estimated disturbances are further used by the velocity loop controller as a kind of feed-forward compensation to reduce the gain of the TCSMC method. The stability of the PMSM trajectory tracking system with the RCSMC algorithm is guaranteed by the Lyapunov stability criteria. Simulations have been conducted to verify the performance of the proposed RCSMC algorithm. Finally, the proposed RCSMC algorithm is applied in a practical 6-DOF manipulator, and the experimental results exhibit the extraordinary robustness and capabilities in dynamic position tracking characteristics, velocity response and disturbances rejection. INDEX TERMS robust continuous sliding mode control, manipulator, PMSM control, trajectory tracking system,time-varying uncertain disturbances

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Disturbance observer based speed control of PMSM using fractional order PI controller

Cited by 48 publications

References 18 publications

A Model-Based Unmatched Disturbance Rejection Control Approach for Speed Regulation of a Converter-Driven DC Motor Using Output-Feedback

A Model-Based Unmatched Disturbance Rejection Control Approach for Speed Regulation of a Converter-Driven DC Motor Using Output-Feedback

Sensorless intelligent second-order integral sliding mode maximum power point tracking control for wind turbine system based on wind speed estimation

Robust Continuous Sliding Mode Control for Manipulator PMSM Trajectory Tracking System Under Time-Varying Uncertain Disturbances

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