Fractional-Order Active Disturbance Rejection Control with Fuzzy Self-Tuning for Precision Stabilized Platform

Zhao, Jianjian; Zhao, Tao; Liu, Nian

doi:10.3390/e24111681

Cited by 4 publications

(5 citation statements)

References 24 publications

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“…The plant for the speed loop consists of the current closed loop (28) and the speed motion part (24), which can be represented as…”

Section: Speed Loop Designmentioning

confidence: 99%

“…Ref. [28] presented a fractional-order ADRC method incorporating the fuzzy self-tuning method, which achieved an improved dynamic response and disturbance suppression capability. Ref.…”

mentioning

confidence: 99%

“…(3) Simulation and experimental comparison tests on a PMSM position servo system were conducted to verify the effectiveness of the proposed method. Linear GESO Fractional-Order PD [20] Linear Model-Aided ESO Model Predictive Control [25] Nonlinear Nonlinear ESO Fractional-order PD [29] Linear LESO Fractional-Order PD [26,27] Linear FOESO PID [28] Linear FOESO Fuzzy Self-Tuning PD…”

mentioning

confidence: 99%

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A Fractional-Order ADRC Architecture for a PMSM Position Servo System with Improved Disturbance Rejection

Wang,

Gan,

Luo

et al. 2024

Fractal Fract

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This paper proposes an active disturbance rejection control (ADRC) architecture for a permanent magnet synchronous motor (PMSM) position servo system. The presented method achieved enhanced tracking and disturbance rejection performance with a limited observer bandwidth. The model-aided extended state observer (MESO)-based ADRC was designed for the current, speed, and position loops of the PMSM position servo system. By integrating known plant information, the MESO improved disturbance estimation with a limited observer bandwidth without amplifying the noise. Additionally, a fractional-order proportional-derivative (FOPD) controller was designed as the feedback controller for the speed loop to further enhance the disturbance rejection. A simulation and experimental tests were conducted on a PMSM servo platform. The results demonstrate not only that the proposed method achieved superior tracking performance but also that the position error of the proposed strategy decreases to 2.25% when the constant disturbance was input, significantly improving the disturbance rejection performance.

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“…The plant for the speed loop consists of the current closed loop (28) and the speed motion part (24), which can be represented as…”

Section: Speed Loop Designmentioning

confidence: 99%

“…Ref. [28] presented a fractional-order ADRC method incorporating the fuzzy self-tuning method, which achieved an improved dynamic response and disturbance suppression capability. Ref.…”

mentioning

confidence: 99%

mentioning

confidence: 99%

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A Fractional-Order ADRC Architecture for a PMSM Position Servo System with Improved Disturbance Rejection

Wang,

Gan,

Luo

et al. 2024

Fractal Fract

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show abstract

“…The actual control system often contains complex and changeable uncertainties, and fuzzy logic systems are often used to approximate system uncertainty because of their good approximation performance [ 32 , 33 , 34 , 35 ]. It is often difficult to deal with high-order uncertainties with traditional fuzzy logic systems, so type-II fuzzy control was proposed to improve the approximation performance to complex uncertainties [ 36 ].…”

Section: Introductionmentioning

confidence: 99%

Interval Type-II Fuzzy Fault-Tolerant Control for Constrained Uncertain 2-DOF Robotic Multi-Agent Systems with Active Fault Detection

Yan

Qin

et al. 2023

Sensors

Self Cite

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This study proposed a novel adaptive interval Type-II fuzzy fault-tolerant control for constrained uncertain 2-DOF robotic multi-agent systems with an active fault-detection algorithm. This control method can realize the predefined-accuracy stability of multi-agent systems under input saturation constraint, complex actuator failure and high-order uncertainties. Firstly, a novel active fault-detection algorithm based on pulse-wave function was proposed to detect the failure time of multi-agent systems. To the best of our knowledge, this was the first time that an active fault-detection strategy had been used in multi-agent systems. Then, a switching strategy based on active fault detection was presented to design the active fault-tolerant control algorithm of the multi-agent system. In the end, based on the interval type-II fuzzy approximated system, a novel adaptive fuzzy fault-tolerant controller was proposed for multi-agent systems to deal with system uncertainties and redundant control inputs. Compared with other relevant fault-detection and fault-tolerant control methods, the proposed method can achieve predefinition of stable accuracy with smoother control input. The theoretical result was verified by simulation.

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“…The universal approximation property of the fuzzy system and its ability to handle uncertainty are used to deal with disturbances. Fuzzy logic systems have been successfully used in a variety of areas [25][26][27][28][29][30]. A fuzzy non-singular terminal sliding mode is used in [31] to achieve trajectory tracking control of an automatic guided vehicle with Mwcanum wheels.…”

Section: Introductionmentioning

confidence: 99%

Predefined-Time Fuzzy Neural Network Control for Omnidirectional Mobile Robot

et al. 2022

Self Cite

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In this paper, a fuzzy neural network based predefined-time trajectory tracking control method is proposed for the tracking problem of omnidirectional mobile robots (FM-OMR) with uncertainties. Considering the requirement of tracking error convergence time, a position tracking controller based on predefined-time stability is proposed. Compared with the traditional position tracking control method, the minimum upper bound of the convergence time can be explicitly set. In order to obtain more accurate angular velocity tracking, the inner loop controller combines Type 1 fuzzy neural network (T1FNN) to estimate the uncertainty. In addition, considering the problem of feedback channel noise, a Kalman filter combining velocity and position information is proposed. Finally, the simulation results verify the effectiveness of this method.

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Fractional-Order Active Disturbance Rejection Control with Fuzzy Self-Tuning for Precision Stabilized Platform

Cited by 4 publications

References 24 publications

A Fractional-Order ADRC Architecture for a PMSM Position Servo System with Improved Disturbance Rejection

A Fractional-Order ADRC Architecture for a PMSM Position Servo System with Improved Disturbance Rejection

Interval Type-II Fuzzy Fault-Tolerant Control for Constrained Uncertain 2-DOF Robotic Multi-Agent Systems with Active Fault Detection

Predefined-Time Fuzzy Neural Network Control for Omnidirectional Mobile Robot

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