Adaptive Fuzzy Active-Disturbance Rejection Control-Based Reconfiguration Controller Design for Aircraft Anti-Skid Braking System

Zhang, Zhao; Yang, Zhong; Guoxing, Zhou; Liu, Shuchang; Zhou, Desheng; Chen, Shuang; Zhang, Xiaokai

doi:10.3390/act10080201

Cited by 10 publications

(9 citation statements)

References 29 publications

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“…In [59], an ADRC and fractional-order PID hybrid control for a hydro turbine speed governor system is proposed, while a new ADRC based on an improved FESO is delivered for a class of fractional-order systems [60]. To improve ADRC performance, various optimization algorithms, such as fuzzy logic, have been proposed [61,62].…”

Section: Traditional Control Methodsmentioning

confidence: 99%

“…Then the DFIG-based wind turbine is simulated in MAT-LAB/Simulink, in which the RSC and GSC are controlled separately using a PI controller, conventional ADRC, and FFOADRCs with different fal functions (default fal, fal arcsinh , fal arctan , and fal tanh ). The performance of these controllers during disturbances such as voltage sag and voltage swell is examined and (61)…”

Section: Simulation Analysismentioning

confidence: 99%

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Fault ride-through capability improvement in a DFIG-based wind turbine using modified ADRC

Mosayyebi

Shahalami

Mojallali

2022

Prot Control Mod Power Syst

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In this paper, an overview of several strategies for fault ride-through (FRT) capability improvement of a doubly-fed induction generator (DFIG)-based wind turbine is presented. Uncertainties and parameter variations have adverse effects on the performance of these strategies. It is desirable to use a control method that is robust to such disturbances. Auto disturbance rejection control (ADRC) is one of the most common methods for eliminating the effects of disturbances. To improve the performance of the conventional ADRC, a modified ADRC is introduced that is more robust to disturbances and offers better responses. The non-derivability of the fal function used in the conventional ADRC degrades its efficiency, so the modified ADRC uses alternative functions that are derivable at all points, i.e., the odd trigonometric and hyperbolic functions (arcsinh, arctan, and tanh). To improve the efficiency of the proposed ADRC, fuzzy logic and fractional-order functions are used simultaneously. In fuzzy fractional-order ADRC (FFOADRC), all disturbances are evaluated using a nonlinear fractional-order extended state observer (NFESO). The performance of the suggested structure is investigated in MATLAB/Simulink. The simulation results show that during disturbances such as network voltage sag/swell, using the modified ADRCs leads to smaller fluctuations in stator flux amplitude and DC-link voltage, lower variations in DFIG velocity, and lower total harmonic distortion (THD) of the stator current. This demonstrates the superiority over conventional ADRC and a proportional-integral (PI) controller. Also, by changing the crowbar resistance and using the modified ADRCs, the peak values of the waveforms (torque and currents) can be controlled at the moment of fault occurrence with no significant distortion.

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Section: Traditional Control Methodsmentioning

confidence: 99%

Section: Simulation Analysismentioning

confidence: 99%

Fault ride-through capability improvement in a DFIG-based wind turbine using modified ADRC

Mosayyebi

Shahalami

Mojallali

2022

Prot Control Mod Power Syst

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“…The relation between anti-skid controller parameters and braking actuators is discussed in [10], in which the controller set-point is analyzed with respect to the total lifespan of wear dynamics. A fuzzy logic-based anti-skid model is designed to suppress the effect of faults and disturbances in the controller while braking in [11]. An extended stiffness-based runway maximum friction method is proposed in [12] to determine the maximum friction available.…”

Section: Related Workmentioning

confidence: 99%

Anti-Skid Aircraft Braking Mechanism using Consensus Control over Wireless Avionic Intra-Communication

Ijaz¹,

Firyaguna²,

Lin³

et al. 2023

Preprint

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<p>This article discusses the anti-skid braking control mechanism of an aircraft. A proportional-integral (PI) controller is used by wheels to generate the desired braking torque to stop the aircraft while landing. Potential runway variations are considered, which will affect the friction force available to each wheel. Variations in wheel forces generate drag torque, causing the aircraft to drift away from the runway. As a result, a supervisory consensus controller has been introduced, which will adjust the braking torque of each wheel to achieve equal force on each wheel. Losses due to the wireless communication channel affect the performance of the consensus controller; therefore, packet losses have been studied. The proposed model is tested and simulated to find out how well the consensus controller works over a noisy channel. </p>

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“…ADRC has received wide application in the control of aircraft and underwater vehicle, resulting in many research results, which show that ADRC has a strong capability to resist external disturbance. [21][22][23][24][25] For the problem of complex ADRC parameter tuning, Teppa-Garran proposed the ESO-LQR control method, which was next applied in aircraft. 26,27 28 combined the control methods of ADRC and MPC to design an active steering controller for an autonomous vehicle.…”

Section: Upper Layer Controller Designmentioning

confidence: 99%

Linear quadratic regulator based on extended state observer–based active disturbance rejection control of autonomous vehicle path following control

Kang

Yong

Wang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article studies the control problem of autonomous vehicle path following with coordination of active front steering and differential steering. A hierarchical control scheme including upper layer and lower layer is proposed. In the upper layer controller, a linear quadratic regulator based on extended state observer is proposed to generate the front-wheel steering angle and external yaw moment, where extended state observer is used to estimate and compensate for the system uncertainty and external disturbance which enhances the capability of the vehicle to suppress the disturbance. A brake force distribution scheme based on the theory of control allocation is proposed in the lower layer controller to optimize and coordinate each wheel brake force to achieve differential steering. Finally, the effectiveness of proposed control scheme is verified in a co-simulation platform based on CarSim/Simulink; it can be concluded that the linear quadratic regulator based on extended state observer scheme not only has a few parameters need to be tuned, but also has the capability of active disturbance rejection.

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Adaptive Fuzzy Active-Disturbance Rejection Control-Based Reconfiguration Controller Design for Aircraft Anti-Skid Braking System

Cited by 10 publications

References 29 publications

Fault ride-through capability improvement in a DFIG-based wind turbine using modified ADRC

Fault ride-through capability improvement in a DFIG-based wind turbine using modified ADRC

Anti-Skid Aircraft Braking Mechanism using Consensus Control over Wireless Avionic Intra-Communication

Linear quadratic regulator based on extended state observer–based active disturbance rejection control of autonomous vehicle path following control

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