The Direct Speed Control of Pmsm Based on Terminal Sliding Mode and Finite Time Observer

Wang, Yao; Yu, Haitao; Che, Zhiyuan; Wang, Yuchen; Liu, Yulei

doi:10.3390/pr7090624

Cited by 6 publications

(8 citation statements)

References 42 publications

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“…Meanwhile, the total output is limited to prevent output saturation [23]. Figure 2 shows the overall speed adaptive control system structure [24]. (9), online identification of charac tic parameters can be carried out according to the input and output values.…”

Section: Speed Adaptive Control Schemementioning

confidence: 99%

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Linear Golden Section Speed Adaptive Control of Permanent Magnet Synchronous Motor Based on Model Design

et al. 2022

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Permanent magnet synchronous motor (PMSM) is a multi-variable, strongly coupled, nonlinear complex system. It is usually difficult to establish an accurate mathematical model, and the introduction of new complex algorithms will increase the difficulty of embedded code development. In order to solve this problem, we establish the characteristic model of permanent magnet synchronous motor in this paper, and the speed control scheme of the linear golden-section adaptive control and integral compensation, which is adopted. Finally, using the model-based design (MBD) method, how to build the simulink embedded code automatic generation model is introduced in detail, and then we complete the PMSM speed control physical verification experiment. Simulation and experimental results show that compared with traditional proportional-integral-derivative (PID) control, the speed control accuracy of PMSM is improved about 3.8 times. Meanwhile, the development method based on the model design can increase the PMSM control system physical verification, and then improve the development efficiency.

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Section: Speed Adaptive Control Schemementioning

confidence: 99%

“…Meanwhile, the total output is limi prevent output saturation [23]. Figure 2 shows the overall speed adaptive control sy structure [24].…”

Section: Speed Adaptive Control Schemementioning

confidence: 99%

Linear Golden Section Speed Adaptive Control of Permanent Magnet Synchronous Motor Based on Model Design

et al. 2022

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“…PMSMs are more stable than DC motors in performance and are more efficient than asynchronous motors [5]. Therefore, in order to improve the performance of PMSMs, more advanced control technologies should be adopted [6]. The model reference adaptive system (MRAS) takes the motor body as the reference model, the stator current equation is taken as an adjustable model, and the estimated speed is taken as an adjustable parameter [7].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Control Method of Sensorless Permanent Magnet Synchronous Motor Based on Super-Twisting Sliding Mode Algorithm

Qiu

et al. 2022

Electronics

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To solve the problem of the sensorless control method of a permanent magnet synchronous motor, based on the study of a mathematical model for a permanent magnet synchronous motor and model adaptation theory, a reference model equation and adjustable model equation are derived according to the stator current equation. The correctness of the selected linear compensator matrix is strictly proved. Then, Popov’s super-stability theory is used to derive the speed adaptive law and prove its asymptotic stability. Based on the voltage closed-loop feedback MTPA weak magnetic control strategy, a simulation model of a MRAS control system based on stator current is built and combined with the principle of MRAS. Aiming to investigate the problem that the PI adaptive law in the traditional MRAS algorithm is not robust, super-twisting sliding mode control is introduced to replace the PI adaptive law. The observer based on STSM−MRAS is designed. The simulation model of the MRAS control system based on the super-twisting sliding mode is established. Under certain working conditions, the STSM−MRAS algorithm and the traditional MRAS algorithm are simulated and compared. The results show that the STSM−MRAS algorithm can improve the steady-state performance and robustness of a sensorless control system.

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“…This structure leads to torque control of the synchronous motors. Some control methods such as model predictive control (MPC) [4], terminal sliding mode control [5,6], application of support vector machine in internal model control [7], adaptive control [8], input-output feedback linearization technique [9], and neural network control approach [10,11] are employed to control the speed and position of PMSMs.…”

Section: Introductionmentioning

confidence: 99%

PSO based Takagi-Sugeno fuzzy PID controller design for speed control of permanent magnet synchronous motor

Ghadiri

Khodadadi

Eijei³

et al. 2021

FACTA U EE

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A permanent magnet synchronous motor (PMSM) is one kind of popular motor. They are utilized in industrial applications because their abilities included operation at a constant speed, no need for an excitation current, no rotor losses, and small size. In the following paper, a fuzzy evolutionary algorithm is combined with a proportional-integral-derivative (PID) controller to control the speed of a PMSM. In this structure, to overcome the PMSM challenges, including nonlinear nature, cross-coupling, air gap flux, and cogging torque in operation, a Takagi-Sugeno fuzzy logic-PID (TSFL-PID) controller is designed. Additionally, the particle swarm optimization (PSO) algorithm is developed to optimize the membership functions' parameters and rule bases of the fuzzy logic PID controller. For evaluating the proposed controller's performance, the genetic algorithm (GA), as another evolutionary algorithm, is incorporated into the fuzzy PID controller. The results of the speed control of PMSM are compared. The obtained results demonstrate that although both controllers have excellent performance; however, the PSO based TSFL-PID controller indicates more superiority.

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The Direct Speed Control of Pmsm Based on Terminal Sliding Mode and Finite Time Observer

Cited by 6 publications

References 42 publications

Linear Golden Section Speed Adaptive Control of Permanent Magnet Synchronous Motor Based on Model Design

Linear Golden Section Speed Adaptive Control of Permanent Magnet Synchronous Motor Based on Model Design

Adaptive Control Method of Sensorless Permanent Magnet Synchronous Motor Based on Super-Twisting Sliding Mode Algorithm

PSO based Takagi-Sugeno fuzzy PID controller design for speed control of permanent magnet synchronous motor

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