Fuzzy Linear Active Disturbance Rejection Control Method for Permanent Magnet Electromagnetic Hybrid Suspension Platform

Yao, Qin; Yang, Jinyue; Wang, Yongzhuang

doi:10.3390/app13042631

Cited by 6 publications

(4 citation statements)

References 14 publications

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“…Magnetic levitation technology can transport objects without contacting the ground whereby the system generates high-speed motion and eliminates vibrations. This innovative technology is widely used in various applications such as magnetic levitation trains, magnetic levitation bearings, and high-speed elevators [1,2]. In many airports, magnetic levitation conveyor cart technology has been widely applied worldwide.…”

Section: Introductionmentioning

confidence: 99%

Development of a Conveyor Cart with Magnetic Levitation Mechanism Based on Multi Control Strategies

Tang,

Hashimoto,

Kurita

et al. 2023

Applied Sciences

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This paper presents the experimental magnetic levitation control development of Sanki Engineering airport luggage conveyor carts which have four magnetic levitation units working synchronously. With the PID controller, the state feedback controller and the zero-power controller refined by PID controller were implemented in the one magnetic levitation unit system and four-unit magnetic levitation system, and the displacement and the current were verified in a real-time system. The magnetic levitation unit had a fast response, and the control algorithms were easily implemented. The change of current and displacement were compared. In the one-unit system, the PID and state feedback controller react to the disturbance at the same speed and have similar power consumptions. For a disturbance on the zero-power controller, the system generates a transient current to deal with the load disturbance and finally settles to 0 A. The PID control for four magnetic levitation units of the conveyor cart has a better stable performance during synchronous operation. Under the control of state feedback controller, they can keep the cart statically stable with some oscillation. These characteristics are experimentally confirmed.

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Section: Introductionmentioning

confidence: 99%

Development of a Conveyor Cart with Magnetic Levitation Mechanism Based on Multi Control Strategies

Tang,

Hashimoto,

Kurita

et al. 2023

Applied Sciences

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“…Real-time implementation and assessment reveal its superiority over conventional PID controllers. In [3], a fuzzy self-anti-disturbance controller is designed for the hybrid PM-EM levitation system. This approach estimates external disturbances through an observer and compensates for them using a combination of fuzzy rules, ultimately enhancing system stability and disturbance rejection.…”

Section: Introductionmentioning

confidence: 99%

Research on Control of Single-point Magnetic Levitation System based on Improved DDPG

Wang,

Zhang,

Cao

et al. 2023

Preprint

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To address the limitations of the traditional maglev control algorithm that relies on mathematical models and is difficult to deploy, a single-point maglev system controller with improved DDPG based on reinforcement learning is designed. First, the experimental platform of a single-point maglev system and its simulation model are built based on physical parameters; second, the piecewise inverse proportional reward function is proposed to improve the steady-state accuracy and response time of the maglev system; then, the DDPG control flow is improved to make the controller meet the requirements of physical deployment; Finally, the effects of reward function, training step, and model variation on the control performance are analyzed by software simulation and experimental comparison. The results show that the improved DDPG controller with a piecewise inverse proportional reward function shortens the response time and reduces the steady-state error of the system. In addition, the control results obtained by using the same parameters of the controller with different models are basically the same, which verifies the advantage of model-independent reinforcement learning. It is a good reference for the control of single-point levitation-like systems.

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“…Active disturbance rejection control (ADRC) is a modern control method with high robustness and a relatively small amount of operations, Its core idea is to unify the uncertain disturbances or modeling errors of the system as "total disturbance", and to estimate and compensate for the total disturbance by extended state observer with the input and output information of the controlled object, i.e., it can actively suppress the disturbance of the system so that the controlled object is stable and has strong disturbance resistance 1,2,3 . Based on the advantage of active prediction of disturbances, ADRC is widely used in the control of complex and uncertain systems containing nonlinear, time-varying, and unknown disturbances, such as motor control 4 magnetic levitation control 5 , etc. Texas Instruments and Freescale have even replaced the traditional PID control with ADRC in their chips 6 .…”

Section: Introductionmentioning

confidence: 99%

Discrete ADRC method based on improved fal function and its application

Yao

Yang

Wang

et al. 2023

Preprint

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In this paper, to address the problem that the traditional fal function constitutes an active disturbance rejection control (ADRC) system that is greatly affected by feedback signal noise and the control output has jitter, propose a continuous and smooth Hfal function in the definition domain to improve the extended state observer and nonlinear error feedback control law in ADRC. Firstly, the characteristic curves and error gain curves of the fal function and Hfal function are compared and analyzed to prove the feasibility and superiority of the Hfal function; secondly, the convergence condition of the extended state observer improved by the Hfal function is analyzed theoretically, and the simulation of the improved extended state observer with glan , faln , and tanh function is compared in the observed signal containing noise to verify the improved extended state observer with Hfal function has higher observation accuracy; finally, the improved ADRC (IADRC) method is applied to the magnetically levitated sphere system model with a nonlinear, large time lag and strong coupling characteristics for discretization simulation experiments, and the results show that the proposed IADRC method solves the output jitter problem of the traditional ADRC method, has better stability, and has stronger robustness to large-amplitude control quantity step disturbances and feedback link noise. The proposed control method further improves the control performance of the system and has a good reference value for the control of other nonlinear systems with uncertain disturbances.

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Fuzzy Linear Active Disturbance Rejection Control Method for Permanent Magnet Electromagnetic Hybrid Suspension Platform

Cited by 6 publications

References 14 publications

Development of a Conveyor Cart with Magnetic Levitation Mechanism Based on Multi Control Strategies

Development of a Conveyor Cart with Magnetic Levitation Mechanism Based on Multi Control Strategies

Research on Control of Single-point Magnetic Levitation System based on Improved DDPG

Discrete ADRC method based on improved fal function and its application

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