Sensorless Direct Torque Control of Surface-Mounted Permanent Magnet Synchronous Motors with Nonlinear Kalman Filtering

Park, Joon B.; Wang, Xin

doi:10.3390/en11040969

Cited by 16 publications

(15 citation statements)

References 31 publications

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“…On the other hand, when the load is increased, the steady state error for speed increases. Additional examples of speed error, due to a change in the torque load, are found in Reference [21,23]. Our simulations show that the cascaded controller possess such disadvantage.…”

Section: Introductionmentioning

confidence: 71%

“…In particular, transitions among different operating points were considered, especially those where the torque set-point is changed either to increase or decrease. It was observed from cascaded controllers that a steady state error on speed develops after a transition among different set-point changes for torque, [5,10,21,23]. Therefore, the cascaded controller configuration keeps close regulation for torque but may fail to keep close regulation for speed.…”

Section: Discussionmentioning

confidence: 99%

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Parallel Loop Control for Torque and Angular Velocity of BLDC Motors with DTC Commutation

et al. 2020

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This paper is focused in the development of a parallel control loop of the angular velocity and torque for Brushless Direct Current (BLDC) motors. This parallel loop is proposed as an improvement for the performance of those cascaded solutions commonly reported in the body of literature of the field. Performance is improved by reducing the steady state error of the speed considerably when compared with the typical cascaded loop solution under a commanded change of torque. In addition, the steady state response of the parallel loop is reached in a shorter time. Simulations were designed to carry out a comparison between both methodologies. The results of these simulations consider only changes in the set point for speed or torque and are reported here. The control signal was applied to a simulated driver using a switching method known as Direct Torque Control of 2 and 3 phases (DTC-2+3P). These preliminary results show that the parallel control loop outperforms the cascaded control of BLDC motors.

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Section: Introductionmentioning

confidence: 71%

Section: Discussionmentioning

confidence: 99%

Parallel Loop Control for Torque and Angular Velocity of BLDC Motors with DTC Commutation

et al. 2020

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“…A PMSM is a typical nonlinear and strongly coupled system, with unpredictable external disturbances, as well as internal parameter variations [2]. In recent years, various nonlinear control methods [3][4][5][6][7][8][9][10][11], such as fuzzy logic control, sliding mode control, neural network control, nonlinear optimal control, internal model control, adaptive control, have been used to meet the requirements of high reliability and performance in PMSM control [7][8][9][10]. The fuzzy logic control is successfully applied in the speed control of PMSMs [12,13].…”

Section: Introductionmentioning

confidence: 99%

A Novel Adaptive Neuro-Control Approach for Permanent Magnet Synchronous Motor Speed Control

Wang

et al. 2018

Energies

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A speed controller for permanent magnet synchronous motors (PMSMs) under the field oriented control (FOC) method is discussed in this paper. First, a novel adaptive neuro-control approach, single artificial neuron goal representation heuristic dynamic programming (SAN-GrHDP) for speed regulation of PMSMs, is presented. For both current loops, PI controllers are adopted, respectively. Compared with the conventional single artificial neuron (SAN) control strategy, the proposed approach assumes an unknown mathematic model of the PMSM and guides the selection value of parameter K online. Besides, the proposed design can develop an internal reinforcement learning signal to guide the dynamic optimal control of the PMSM in the process. Finally, nonlinear optimal control simulations and experiments on the speed regulation of a PMSM are implemented in Matlab2016a and TMS320F28335, a 32-bit floating-point digital signal processor (DSP), respectively. To achieve a comparative study, the conventional SAN and SAN-GrHDP approaches are set up under identical conditions and parameters. Simulation and experiment results verify that the proposed controller can improve the speed control performance of PMSMs.

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“…The Extended Kalman Filter (EKF) is a filtering method based on model prediction, which helps to improve the response of the speed. Meanwhile, the measurement noise and process noise are considered in the EKF method, which helps to improve the steady-state performance [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25]. Reference [11] constructed a third-order EKF for speed feedback, and its velocity loop has a good dynamic response, but requires precise inertia.…”

mentioning

confidence: 99%

“…Reference [14] constructed a fifth-order EKF to observe motor current and speed at the same time. Reference [18] proposed the unscented Kalman filter and the resilient extended Kalman filter-based sensorless direct torque control technique for permanent magnet synchronous motors. Reference [19] proposed a full-order Kalman Observer and Recursive Least Squares for online inertia identification and load torque observation.…”

mentioning

confidence: 99%

A Method to Improve the Response of a Speed Loop by Using a Reduced-Order Extended Kalman Filter

et al. 2018

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In servo systems, encoders are usually used to measure the position and speed signals of electric machines. But in a low speed range, the traditional M/T method has a larger time delay, which will cause an increase of the speed loop order and degradation of the speed loop performance. A method employed to reduce the delay of speed feedback by using a reduced-order Extended Kalman Filter (EKF) is introduced in this paper. The speed of the permanent magnet synchronous motor is estimated by the reduced-order EKF in a low speed range, which reduces the delay of speed feedback and extends the cutoff frequency of the speed loop to improve the dynamic performance of the servo system. In order to solve the issues that the traditional full-order EKF is sensitive to the inertia of the system and computationally complex, a composite load torque observer (CLTO) is proposed in this paper. The load torque and the friction torque are simultaneously observed by the CLTO. Additionally, the CLTO is used to reduce the order of the EKF, which reduces the sensitivity of EKF on inertia to enhance the robustness of the algorithm and simplifies the computational complexity. The feasibility and effectivity of the above method are verified by simulations and experiments.

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Sensorless Direct Torque Control of Surface-Mounted Permanent Magnet Synchronous Motors with Nonlinear Kalman Filtering

Cited by 16 publications

References 31 publications

Parallel Loop Control for Torque and Angular Velocity of BLDC Motors with DTC Commutation

Parallel Loop Control for Torque and Angular Velocity of BLDC Motors with DTC Commutation

A Novel Adaptive Neuro-Control Approach for Permanent Magnet Synchronous Motor Speed Control

A Method to Improve the Response of a Speed Loop by Using a Reduced-Order Extended Kalman Filter

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