High-Tracking-Precision Sensorless Control of PMSM System Based on Fractional Order Model Reference Adaptation

Niu, Hongjie; Liu, Ling; Jin, Dongsong; Liu, Siyuan

doi:10.3390/fractalfract7010021

Cited by 5 publications

(5 citation statements)

References 25 publications

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“…The expression of the electromagnetic torque Te in the stationary reference frame α−β is given by the relation (10).…”

Section: Pmsm Sensorless Control Based On Dtc Strategy Using Constant...mentioning

confidence: 99%

“…From equations ( 9), (10) and (11) the following custom equations can be obtained for the reference values of the electromagnetic torque, the reference current iqref and the reference value of the stator flux in the usual case where Ld = Lq:…”

Section: Smc-type Controller For the Pmsm Sensorless Control Based On...mentioning

confidence: 99%

“…In order to improve this global performance of PMSM control systems, given that PI type controllers provide good performance around global operating points even for relatively small variations of external parameters and disturbances caused in particular by load torque variations, a number of more complex controllers of the following types can be used: adaptive [10], predictive [11], robust [12], fuzzy [13] and neural [14]. Although the performance of these controllers is superior to that of classical PI-type controllers, care must be taken when implementing them in real-time in terms of the trade-off between the computing power of the embedded system and the overall cost of implementation.…”

Section: Introductionmentioning

confidence: 99%

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Improved Performance of the PMSM Sensorless Control System Based on DTC Strategy and SMC Using Fractional Order and Fractal Dimension Calculus

Nicola,

Selișteanu

et al. 2024

Preprint

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Starting from the fact that one of the global control strategies of the Permanent Magnet Synchronous Motor (PMSM), namely the Direct Torque Control (DTC) type control strategy, is characterised by the fact that the inner flux and torque control loop usually uses hysteresis ON-OFF type controllers and the oscillations introduced by them have to be cancelled out by the outer speed loop controller (which is usually a PI speed controller and whose performance is good around the global operating points and for relatively small variations of the external parameters and disturbances caused in particular by the load torque variation), while retaining the advantages of the DTC strategy, this paper presents the improvement of the performance of the PMSM sensorless control system using Proportional Integrator (PI), PI Equilibrium Optimizer Algorithm (EOA), Fractional Order (FO) PI, Tilt Integral Derivative (TID) and FO Lead-Lag for constant flux, and Sliding Mode Control (SMC) and FOSMC for variable flux. The performance indicators of the control system are the usual ones: response time, settling time, overshoot, steady-state error and speed ripple, plus another one given by the fractal dimension (FD) of the PMSM rotor speed signal, and the hypothesis that the FD of the controlled signal is higher when the control system provides better performance is verified. The paper also presents the basic equations of the PMSM, based on which the synthesis of integer and fractional controllers, the synthesis of an observer for estimating the PMSM rotor speed, electromagnetic torque and stator flux are presented. The comparison of the performance of the proposed control systems and the demonstration of the parametric robustness are performed by numerical simulations in Matlab/Simulink using Simscape Electrical and Fractional Order Modelling and Control (FOMCON). Real-time control based on an embedded system using a TMS320F28379D controller demonstrates the good performance of the PMSM sensorless control system based on the DTC strategy in a complete hardware-in-the-loop (HIL) implementation.

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“…The expression of the electromagnetic torque Te in the stationary reference frame α−β is given by the relation (10).…”

Section: Pmsm Sensorless Control Based On Dtc Strategy Using Constant...mentioning

confidence: 99%

Section: Smc-type Controller For the Pmsm Sensorless Control Based On...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Improved Performance of the PMSM Sensorless Control System Based on DTC Strategy and SMC Using Fractional Order and Fractal Dimension Calculus

Nicola,

Selișteanu

et al. 2024

Preprint

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show abstract

“…EKF 15 , 16 matrix has a large amount of calculation, high complexity, poor real-time performance, and large delay. MRAS 17 , 18 requires accurate model feedback parameters and cannot be used in large speed ranges; among them, SMO 19 – 24 is simpler than other methods. SMO has low requirements for the accuracy of the system model, is insensitive to parameter changes and external interference, and has strong robustness.…”

Section: Introductionmentioning

confidence: 99%

Research on speed sensorless control strategy of permanent magnet synchronous motor based on fuzzy super-twisting sliding mode observer

Song,

Liu,

Ren

et al. 2024

Science Progress

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Aiming at the problems of poor adjustment effect, weak anti-disturbance ability, and low robustness of the traditional sliding mode algorithm for permanent magnet synchronous motor speed sensorless, a permanent magnet synchronous motor speed observation method combining super-twisting sliding mode control algorithm and fuzzy control is proposed to accelerate the convergence speed of the system and improve the anti-disturbance ability. Fuzzy rules are used to solve the problem of obtaining the upper bound of the boundary function in the super-twisting algorithm. Moreover, the fuzzy algorithm is used to output the variable sliding mode gain instead of the fixed sliding mode coefficient to improve the system robustness and suppress the jitter. The simulation results show that the overshoot of the control system is 4%, the lag time is not more than 0.003 ms, the speed error is not more than 1%, and the response and adjustment time is not more than 0.02 s. The proposed control strategy improves the tracking accuracy and response speed of the system, suppresses the sliding mode chattering, and enhances the anti-interference ability of the system.

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“…The researcher represented the skin effect in a solid rotor by means of resistance and inductance with fixed values and fractional-order inductance, depending on the frequency of induced eddy currents. Furthermore, to solve parameter fluctuations and disturbances, a novel fractional order model reference adaptive speed observer was proposed in [28] that estimates the rotor position and the angular velocity from the stator currents for sensorless control of PMSM. The authors of [29] have compared the design of a fractional-order proportional integral (FOPI) controller and an integer-order proportional integral controller for the PMSM speed regulation system, manipulating the current control scheme with a Xilinx FPGA chip to increase the system loop's bandwidth, and the accuracy of the numerical implementation of the fractional-order operator is investigated.…”

Section: Introductionmentioning

confidence: 99%

Fractional-Order Extremum Seeking Method for Maximum Torque per Ampere Control of Permanent Magnet Synchronous Motor

Song,

Duan,

Yan

et al. 2023

Fractal Fract

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Maximum torque per ampere (MTPA) control of internal permanent magnet synchronous motors (IPMSM) has become integral to high-efficiency motor drives. To minimize the influence of the traditional model-based analytical solution method on the MTPA control strategy due to the parameter variations during the motor operation, an online search MTPA method without model-based fractional-order extremum seeking control (FO-ESC) is proposed. Compared with the traditional integer-order ESC method, the Oustaloup approximation-based fractional-order calculus provides additional factors and possibilities for optimizing controller parameters to improve control performance. At the same time, the proposed approach does not require machine parameters and is thus not influenced by machine and drive nonlinearities. Simulation results show that the proposed method can ensure robust MTPA control under different loading conditions in real-time and improve the system’s dynamic response speed and steady-state accuracy.

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High-Tracking-Precision Sensorless Control of PMSM System Based on Fractional Order Model Reference Adaptation

Cited by 5 publications

References 25 publications

Improved Performance of the PMSM Sensorless Control System Based on DTC Strategy and SMC Using Fractional Order and Fractal Dimension Calculus

Improved Performance of the PMSM Sensorless Control System Based on DTC Strategy and SMC Using Fractional Order and Fractal Dimension Calculus

Research on speed sensorless control strategy of permanent magnet synchronous motor based on fuzzy super-twisting sliding mode observer

Fractional-Order Extremum Seeking Method for Maximum Torque per Ampere Control of Permanent Magnet Synchronous Motor

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