Improved neuroendocrine intelligent control for a permanent magnet linear synchronous motor

Shu, Shuangbao; Liu, Chao; Xing, Chenyao; Wang, Xiaoxu; Zhang, Yuzhong

doi:10.1177/0020294019882956

Cited by 4 publications

(4 citation statements)

References 22 publications

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“…In the experiment, emerging nonthermal technologies (such as pulsed electric field, high pressure treatment and ultrasonic wave) were applied to the pasteurization process of beer, and better quality beer was eventually obtained. 10 Zheng et al investigated fermented beer, which was widely consumed. In this process, it was found that essential oil, picric acid and flavonoids produced during beer brewing are effective antioxidants of beer cone.…”

Section: Related Workmentioning

confidence: 99%

“…Shu et al described the head treatment of beer, which affected the flavor and freshness of the beer. In the experiment, emerging nonthermal technologies (such as pulsed electric field, high pressure treatment and ultrasonic wave) were applied to the pasteurization process of beer, and better quality beer was eventually obtained 10 . Zheng et al investigated fermented beer, which was widely consumed.…”

Section: Related Workmentioning

confidence: 99%

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Temperature monitoring system of beer fermentation and brewing based on immune fuzzy PID controller

Song¹,

Meng²,

Chen

2023

Adv Control Appl

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Beer is one of the popular drinks, the temperature control in the process of beer fermentation plays a crucial role. The current temperature control method mainly uses the traditional PID control, but its control adjustment time is long, the overshoot is large, the control effect still needs to be improved. A beer fermentation and brewing temperature monitoring system based on immune fuzzy PID controller was designed in this experiment. Immune fuzzy PID controller is a nonlinear controller, which combines the advantages of traditional PID controller and fuzzy controller and refers to the regulatory mechanism of biological immune system, and obtains good suitable characteristics by controlling the parameter values of the system. PID converts the rule information into fuzzy information by fuzzy basic theory and stores it in computer database. By referring to the actual situation of PID, the computer uses fuzzy reasoning to adjust the PID parameters. The beer fermentation temperature monitoring system based on the traditional PID controller is compared with the proposed system. Under the control of the designed temperature monitoring system, the temperature has a certain effect on the fermentation speed of beer. The fermentation time of high temperature fermentation (16°C) is 3 days shorter than that of normal temperature fermentation (10°C). The robustness and applicability of the system are verified.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Temperature monitoring system of beer fermentation and brewing based on immune fuzzy PID controller

Song¹,

Meng²,

Chen

2023

Adv Control Appl

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“…Some improved PID algorithms have been well applied in many applications. 17,18 In recent years, to avoid difficulties related to the control model, a recent methodology, model-free control, is developed and widely used. 19,20 In this method, the control system is represented by an ultra-local low-order (mostly, first or second-order) differential equation, therefore, this approach with input-output data-driven does not need a large-scale precise mathematical model.…”

Section: Introductionmentioning

confidence: 99%

Study of an improved single neuron PID control algorithm in the Tokamak plasma density control system

Shu,

Yang,

Zhang

et al. 2023

Measurement and Control

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Tokamak is an important device for controlled nuclear fusion research. The plasma electronic density control system (PEDCS) is an important system for controlling the Tokamak discharge process, which should be of high stability, rapidity, and accuracy. Gas seeding systems are widely used in many Tokamak devices to achieve plasma electronic density control. According to the mechanism model analysis for the plasma electronic density object, an adapted single neuron proportion integration differentiation (PID) control algorithm with the radial basis function (RBF) neural network tuning is studied. The principle and the implementation of the intelligent control algorithm are described in detail in this paper. The intelligent controller enables the system to optimize the PID parameters online according to the density state in the discharge process. The experimental results show that the adapted algorithm achieves a good control effect and also improves the control performance. The proposed method provides a useful reference for Tokamak devices and other similar control systems.

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“…Aiming at the problem of uncertain parameters and disturbances in the PMSM control system, scholars have proposed many control methods to improve the control performance of the system, such as backstepping control, adaptive control, sliding mode control, robust control and intelligent control (Shu et al , 2020; Chen et al , 2020; Jie et al , 2020; Xue et al , 2020; Fu et al , 2022). Compared with other control methods, the structure of sliding mode control can change purposefully with the current state of the system, forcing the system to move on the set sliding mode surface.…”

Section: Introductionmentioning

confidence: 99%

Sliding mode speed control of permanent magnet synchronous motor based on improved reaching law

Zou

Ding²,

Li³

2022

COMPEL

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Purpose This paper aims to present a sliding mode control method based on disturbance observer (DO) for improving the reaching law of permanent magnet synchronous motor (PMSM). Design/methodology/approach Aiming at the insufficiency of the traditional exponential reaching law used in sliding mode variable structure control, an exponential reaching law related to the speed error is proposed. The improved exponential reaching law can adaptively adjust the size of the constant velocity term in the reaching law according to the size of the speed error, so as to adaptively adjust the speed of the system approaching the sliding mode surface to overcome the control deviation and improve the dynamic and steady state performance. To improve the anti-interference ability of the system, a DO is proposed to observe the external disturbance of the system, and the observed value is used to compensate the system. The stability of the system is analyzed by Lyapunov theorem. The effectiveness of this method is proved by simulation and experiment. Findings Simulation and experiment show that the proposed method has the advantages of fast response and strong anti-interference ability. Research limitations/implications The proposed method cannot observe the disturbance caused by the change of internal parameters of the system. Originality/value A sliding mode control method for PMSM is proposed, which has good control performance. The proposed method can effectively suppress chattering, ensure fast response speed and have strong anti-interference ability. The effectiveness of the algorithm is verified by simulation and experiment.

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Improved neuroendocrine intelligent control for a permanent magnet linear synchronous motor

Cited by 4 publications

References 22 publications

Temperature monitoring system of beer fermentation and brewing based on immune fuzzy PID controller

Temperature monitoring system of beer fermentation and brewing based on immune fuzzy PID controller

Study of an improved single neuron PID control algorithm in the Tokamak plasma density control system

Sliding mode speed control of permanent magnet synchronous motor based on improved reaching law

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