Research on Self-Learning Fuzzy Control of Controllable Excitation Magnetic Suspension Linear Synchronous Motor

Sun, Yunpeng; Lan, Yipeng

doi:10.1007/s42835-020-00347-3

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…Firstly, kinematic models of the crane arm and the anti-rolling device are established. Meanwhile, to address the challenges faced by the motion control system of the offshore crane in swinging environment, a controller based on Fuzzy-PID control is designed for the servo motor control system of the anti-rolling device, combining classical PID control with Fuzzy control to enhance the dynamic and steady-state performance of the system [4]. Finally, comparative simulation experiments are conducted to validate the effectiveness of the control system.…”

Section: Introductionmentioning

confidence: 99%

Simulation research on motion control system of offshore anti-rolling crane based on fuzzy PID control

Chang,

Zhu,

Ren

2024

International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023)

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The offshore anti-rolling crane has the anti-rolling device consisting of four connecting rods with a rotating joint at the end of crane arm. Under the control of the motion control system, the anti-rolling device can compensate for the spatial displacement of the crane's lifting point caused by swinging, thereby reducing the rolling of the load. In order to calculate the spatial displacement of the lifting point before and after the swing, this paper establishes the kinematic model of the crane arm and the anti-rolling device. Since running in swing condition, the motion control system faces several challenges, such as load sudden change, the given signal time-varying, external signal interference. In order to improve the control performance, this paper builds the simulation model of servo motor control system of the anti-rolling device applying Fuzzy-PID control in MATLAB/Simulink. The simulation results show that the Fuzzy-PID control is more suitable for the motion control system of the offshore anti-rolling crane in swing environment, which significantly improves the control performance, such as stability, following ability and robustness.

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Section: Introductionmentioning

confidence: 99%

Simulation research on motion control system of offshore anti-rolling crane based on fuzzy PID control

Chang,

Zhu,

Ren

2024

International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023)

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Design and Implementation of Dust-Free Process Environment System Based on STM32 Microprocessor

Wang

Liu

2022

Application of Intelligent Systems in Multi-Modal Information Analytics

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Preparation and Application of Red-Emitting Thermo-Sensitive Carbon Quantum Dots

Bian

Song

et al. 2022

Journal of Nanoelectronics and Optoelectronics

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At present, there are few methods to detect cell temperature and most of them are blue light emitting. The red-emitting carbon quantum dots have the characteristics of high brightness, large Bohr radius, easy chemical modification and biological coupling, and high photothermal conversion efficiency. This paper introduces the synthesis and application of a new type of red-emitting thermo-sensitive carbon quantum dots. The quantum dot solution is brown when illuminated by white light, and red when excited by green light. The fluorescence intensity of the prepared quantum dots has a linear relation with temperature, and the linear coefficient is about 0.992, which can be used for non-destructive testing of cells. The carbon quantum dots synthesized in this study have performed temperature detection, fluorescence imaging and verification of the endocytosis of quantum dots on mouse myoblasts (C2C12). The results show that there is no damage to the cells and the temperature measurement results are accurate. The carbon quantum dots synthesized by this research method have good stability, biocompatibility, and are basically non-toxic to cells. It is of great significance for the development of nanoscale thermometer for non-destructive measurement of cells.

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Research on Self-Learning Fuzzy Control of Controllable Excitation Magnetic Suspension Linear Synchronous Motor

Cited by 3 publications

References 13 publications

Simulation research on motion control system of offshore anti-rolling crane based on fuzzy PID control

Simulation research on motion control system of offshore anti-rolling crane based on fuzzy PID control

Design and Implementation of Dust-Free Process Environment System Based on STM32 Microprocessor

Preparation and Application of Red-Emitting Thermo-Sensitive Carbon Quantum Dots

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