Luenberger Position Observer Based on Deadbeat-Current Predictive Control for Sensorless PMSM

Zhu, Yuan; Tao, Ben; Xiao, Mingkang; Yang, Gang; Zhang, Xingfu; Ke, Lei

doi:10.3390/electronics9081325

Cited by 27 publications

(20 citation statements)

References 32 publications

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“…Let us note that the non-integer order operator for integration and differentiation as aD α t , where α represents the fractional order, a and t represent the limits of the interval at which the operator is applied [27,28].…”

Section: Fractional Order Calculusmentioning

confidence: 99%

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Sensorless Fractional Order Control of PMSM Based on Synergetic and Sliding Mode Controllers

Nicola¹,

Nicola

2020

Electronics

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The field oriented control (FOC) strategy of the permanent magnet synchronous motor (PMSM) includes all the advantages deriving from the simplicity of using PI-type controllers, but inherently the control performances are limited due to the nonlinear model of the PMSM, the need for wide-range and high-dynamics speed and load torque control, but also due to the parametric uncertainties which occur especially as a result of the variation of the combined rotor-load moment of inertia, and of the load resistance. Based on the fractional calculus for the integration and differentiation operators, this article presents a number of fractional order (FO) controllers for the PMSM rotor speed control loops, and id and iq current control loops in the FOC-type control strategy. The main contribution consists of proposing a PMSM control structure, where the controller of the outer rotor speed control loop is of FO-sliding mode control (FO-SMC) type, and the controllers for the inner control loops of id and iq currents are of FO-synergetic type. Superior performances are obtained by using the control system proposed, even in the case of parametric variations. The performances of the proposed control system are validated both by numerical simulations and experimentally, through the real-time implementation in embedded systems.

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Section: Fractional Order Calculusmentioning

confidence: 99%

“…Equation (26) defines the sliding surface S of the zero-error manifold. Through differentiation, the following equation is obtained (27):…”

Section: Fo-smc Speed Controllermentioning

confidence: 99%

Sensorless Fractional Order Control of PMSM Based on Synergetic and Sliding Mode Controllers

Nicola¹,

Nicola

2020

Electronics

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“…Permanent magnet synchronous motors (PMSMs) are widely used in industry because of their high power density and reliable performance [1][2][3]. Due to the less power switching devices, the three-phase four-switch (TPFS) inverter has become an alternative to the conventional three-phase six-switch (TPSS) inverter in cost-sensitive or fault-tolerant PMSM applications [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

A Reference Voltage Self-Correction Method for Capacitor Voltage Offset Suppression of Three-Phase Four-Switch Inverter-Fed PMSM Drives

Chen

Wang

et al. 2022

WEVJ

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This paper proposes a capacitor voltage offset suppression method based on reference voltage self-correction for a three-phase four-switch (TPFS) inverter-fed permanent magnet synchronous motor (PMSM) drive system to improve the motor control performance. Firstly, the αβ-axis reference voltage deviation caused by capacitor voltage offset is analyzed, and the relationship between the voltage to be compensated and the offset is obtained. Then, the capacitor voltage offset is calculated according to the motor speed, rotor position, current vector amplitude, and capacitance on the capacitor bridge arm of the TPFS inverter. Finally, the reference voltage is corrected according to the voltage to be compensated and the capacitor voltage offset. This method is simple and easy to implement, and there is no need to add voltage sensors or filters in the system to extract the capacitor voltage offset, and there is no complex parameter adjustment. The effectiveness of the proposed method is verified by experiments on a 20 kW interior permanent magnet synchronous motor.

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“…The advantages of permanent magnet synchronous motor (PMSM) include high efficiency, high power density, and small size [1][2][3][4]. With the development of science and technology, customers, who need higher quality productions and many products, put forward higher requirements for motor control and energy efficiency, which cause the widespread adoption of PMSM in industries like home appliance, industrial engineering, and autoindustry.…”

Section: Introductionmentioning

confidence: 99%

Optimized Luenberger Observer-Based PMSM Sensorless Control by PSO

Luo

Wang

Sun

2022

Modelling and Simulation in Engineering

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In the real applications, we found that it is difficult to achieve good control performance through manually tuning proportional–integral (PI) parameters of phase locked loop (PLL) and speed-loop of Luenberger observer (LO) for the PMSM sensorless control system. Therefore, this paper is to use the particle swarm optimization (PSO) algorithm to optimize the PI parameters of PLL and speed-loop of Luenberger observer of the system. Firstly, the ranges of PLL parameters are obtained by analyzing the PLL subsystem stability. Then, the ranges of PI parameters of PLL and speed-loop are set based on theoretical estimation and empirical values. The control system model is realized in MATLAB/Simulink that considers the constraints such as the saturation. The integral time absolute error is the objective function, and the PSO with different topologies is used to optimize the PI parameters. The simulation and experimental results show that the proposed method is feasible, and the optimized parameters can effectively improve the precision of position estimation and speed estimation. Moreover, the simulations and experiments are carried out to verify the robustness of the proposed method, and the results show that the optimized system can achieve good performance when there are uncertainties or disturbances.

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Luenberger Position Observer Based on Deadbeat-Current Predictive Control for Sensorless PMSM

Cited by 27 publications

References 32 publications

Sensorless Fractional Order Control of PMSM Based on Synergetic and Sliding Mode Controllers

Sensorless Fractional Order Control of PMSM Based on Synergetic and Sliding Mode Controllers

A Reference Voltage Self-Correction Method for Capacitor Voltage Offset Suppression of Three-Phase Four-Switch Inverter-Fed PMSM Drives

Optimized Luenberger Observer-Based PMSM Sensorless Control by PSO

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