A novel sliding mode single-loop speed control method based on disturbance observer for permanent magnet synchronous motor drives

This study proposes a novel hierarchical nonlinear proportional-integral fast terminal sliding mode (HNLPIFTSM) control for permanent magnet synchronous motor (PMSM) speed regulation system. A new type of sliding surface called HNLPIFTSM surface, which combines the benefits of a nonlinear proportional-integral (PI) sliding mode surface and a fast terminal sliding mode (FTSM) surface, is proposed to enhance the robustness and improved the dynamic response, whilst preserving the great property of the conventional hierarchical fast terminal sliding mode (HFTSM) control strategy. The proposed HNLPIFTSM surface uses the novel nonlinear PI sliding mode surface as its inner loop and uses the FTSM surface as its outer loop. Meanwhile, an extended state observer (ESO) is used to estimate the uncertain terms of the PMSM speed regulation system. Furthermore, the stability of the closed-loop control system under the ESO and the HNLPIFTSM control strategy is proved by the Lyapunov stability theorem. Finally, the simulations and experimental demonstrations verify the effectiveness and superiorities of our proposed HNLPIFTSM control strategy over the conventional HFTSM control strategy.

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“…When L d = L q is satisfied, the motion equation of PMSM is given as: 42…”

Section: Problem Descriptionmentioning

confidence: 99%

“…where T e is the electromagnetic torque; f f presents the flux of permanent magnet; L d ,L q ,i d (t) and i q (t) present inductance components and current components of the dqÀ axes. When L d = L q is satisfied, the motion equation of PMSM is given as: 42 T e À T L = J dv(t) dt + Bv(t),…”

Section: Problem Descriptionmentioning

confidence: 99%

A novel hierarchical nonlinear proportional-integral fast terminal sliding mode control for PMSM drives

Peng

Zhang

2021

Advances in Mechanical Engineering

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“…The basic principle of DOB is that the difference between the output of the actual model and the reference model caused by the external disturbance of the controlled object and its parameter changes, is regarded as the system disturbance. DOB estimates the output difference caused by the disturbance in real time and feedforward compensates it to the input, so as to actively suppress the influence of the disturbance [25]. Its control structure is in Figure 5.…”

Section: Control Algorithm Of a Photovoltaic And Energy Storage Systemmentioning

confidence: 99%

Research on the Operation Control Strategy of a Low-Voltage Direct Current Microgrid Based on a Disturbance Observer and Neural Network Adaptive Control Algorithm

et al. 2019

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Low-voltage direct current (DC) microgrid based on distributed generation (DG), the problems of load mutation affecting the DC bus under island mode, and the security problems that may arise when the DC microgrid is switched from island mode to grid-connected mode are considered. Firstly, a DC bus control algorithm based on disturbance observer (DOB) was proposed to suppress the impact of system load mutation on DC bus in island mode. Then, in a grid-connected mode, a pre-synchronization control algorithm based on a neural network adaptive control was proposed, and the droop controller was improved to ensure better control accuracy. Through this pre-synchronization control, the microgrid inverters output voltage could quickly track the power grid’s voltage and achieve an accurate grid-connected operation. The effectiveness of the algorithms was verified by simulation.

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“…Ming et al 9 used an adaptive law-based PI control method to control the motor speed based on the study of model reference adaptive system (MRAS) sensorless control. Liu et al 10 studied a new speed control method based on sliding mode control and disturbance observer for a permanent magnet synchronous motor drive system. It is also demonstrated that the designed controller has a fast transient response and robustness under different operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Sensorless control of permanent magnet synchronous motor based on adaptive back-EMF observer

Cao

Yong

et al. 2023

Advances in Mechanical Engineering

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Aiming at the problem that the change of motor parameters in actual operation will significantly reduce the control accuracy of the motor, this paper proposes a sensorless control method of permanent magnet synchronous motor based on an adaptive back-EMF observer. Firstly, in the sensorless vector control algorithm, the mathematical model of the permanent magnet synchronous motor based on the coordinate axis transformation is established, online identification of permanent magnet synchronous motor flux linkage, and the adaptive back EMF observer is constructed. The parameters update the motor model to achieve accurate control of the rotor position and speed of the permanent magnet synchronous motor. Then the back-EMF observer and the adaptive back-EMF observer are verified in the simulation environment. Then the simulation model of the back-EMF observer and the adaptive back-EMF observer is carried out, and the comparison analysis is made. Finally, a permanent magnet synchronous motor control platform is built in the laboratory, and the method proposed in this paper is verified. The results show that, under the condition that the permanent magnet synchronous motor parameters change, the online identification of the parameters and the accurate speed of the permanent magnet synchronous motor can be realized control.

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A novel sliding mode single-loop speed control method based on disturbance observer for permanent magnet synchronous motor drives

Cited by 7 publications

References 30 publications

A novel hierarchical nonlinear proportional-integral fast terminal sliding mode control for PMSM drives

A novel hierarchical nonlinear proportional-integral fast terminal sliding mode control for PMSM drives

Research on the Operation Control Strategy of a Low-Voltage Direct Current Microgrid Based on a Disturbance Observer and Neural Network Adaptive Control Algorithm

Sensorless control of permanent magnet synchronous motor based on adaptive back-EMF observer

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