Decoupling Control of Outer Rotor Coreless Bearingless Permanent Magnet Synchronous Motor Based on Least Squares Support Vector Machine Generalized Inverse Optimized by Improved Genetic Algorithm

Xu, Ben; Zhu, Huangqiu; Wang, Xin

doi:10.1109/tie.2021.3130345

Cited by 11 publications

(2 citation statements)

References 12 publications

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“…It is a general solution to solve the search algorithm, especially suitable for the calculation of the optimal solution. The genetic algorithm has been widely used in many fields such as production scheduling, automatic control, image processing, machine learning and so on [15][16][17].…”

Section: A Improved Sobel Edge Detection Algorithmmentioning

confidence: 99%

Sobel Edge Detection Algorithm with Adaptive Threshold based on Improved Genetic Algorithm for Image Processing

Kong¹,

Chen²,

Song³

et al. 2023

IJACSA

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In this paper, a novel adaptive threshold Sobel edge detection algorithm based on the improved genetic algorithm is proposed to detect edges. Because of the influence of external factors in actual detection process, the result of detection is often not accurate enough when the configured threshold of the target image is far away from the real threshold. Different thresholds of images are calculated by improved genetic algorithm for different images. The calculated threshold is used in edge detection. The experimental results show that the image processed by the improved algorithm has stronger edge continuity. It is shown that proposed algorithm has a better detection effect and applicability than the traditional Sobel algorithm.

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Section: A Improved Sobel Edge Detection Algorithmmentioning

confidence: 99%

Sobel Edge Detection Algorithm with Adaptive Threshold based on Improved Genetic Algorithm for Image Processing

Kong¹,

Chen²,

Song³

et al. 2023

IJACSA

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show abstract

“…The internal model control (IMC) can be combined with the inverse system method to optimize the decoupling effect of the PID controller in the traditional inverse system control strategy [15]. Due to the complex construction process of the inverse system model, relevant studies mostly focus on the optimization methods of the inverse system model construction and intelligent methods are usually used to assist in the establishment of the inverse system model [16,17]. In addition, suspension systems need positioning sensors and control algorithms to maintain stable levitation.…”

Section: Introductionmentioning

confidence: 99%

Suspension Flux Internal Model Control of Single-Winding Bearingless Flux-Switching Permanent Magnet Motor

Chen,

Yu,

Yang

et al. 2023

Actuators

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A suspension flux internal model control method is proposed to address the problem of the strong coupling of a single-winding bearingless flux-switching permanent magnet motor leading to a significant ripple of the rotor radial displacement. Firstly, based on air-gap magnetic field modulation theory, the stator flux equation considering rotor dynamic eccentricity is established to reveal the relationship between the eccentric rotor and the magnetic field. Secondly, according to the dynamic characteristics of the motor and the variation law of the air-gap magnetic field, the suspension-plane flux is substituted into the rotor dynamic model, and the suspension flux-dynamics internal model and corresponding output are constructed, respectively. Finally, a complete control strategy is established, and the rotor is stably suspended by PWM control. The simulation and experimental results show that the proposed method has better steady-state and dynamic performance than traditional PID control, and the maximum radial displacement ripples of the rotor are reduced by 53% and 50% in steady-state and dynamic operation.

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Decoupling control of bearingless brushless DC motor using particle swarm optimized neural network inverse system

Tao,

Hua

2024

Measurement: Sensors

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Decoupling Control of Outer Rotor Coreless Bearingless Permanent Magnet Synchronous Motor Based on Least Squares Support Vector Machine Generalized Inverse Optimized by Improved Genetic Algorithm

Cited by 11 publications

References 12 publications

Sobel Edge Detection Algorithm with Adaptive Threshold based on Improved Genetic Algorithm for Image Processing

Sobel Edge Detection Algorithm with Adaptive Threshold based on Improved Genetic Algorithm for Image Processing

Suspension Flux Internal Model Control of Single-Winding Bearingless Flux-Switching Permanent Magnet Motor

Decoupling control of bearingless brushless DC motor using particle swarm optimized neural network inverse system

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