Adaptive fractional order sliding mode controller with neural estimator

Fei, Juntao; Lu, Cheng

doi:10.1016/j.jfranklin.2018.01.006

Cited by 138 publications

(74 citation statements)

References 22 publications

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“…Recently, an adaptive fractional order sliding mode controller with a neural estimator is proposed in the work of Fei and Lu for a class of linear systems with nonlinear disturbances. Compared with traditional integer order sliding mode controller in other works, the new proposed fractional order sliding mode controller contains a fractional order term in the sliding surface, such that the design control approach have better antidisturbance ability and strong robustness.…”

Section: Introductionmentioning

confidence: 99%

“…Compared with traditional integer order sliding mode controller in other works, the new proposed fractional order sliding mode controller contains a fractional order term in the sliding surface, such that the design control approach have better antidisturbance ability and strong robustness. Motivated by the result obtained in the work of Fei and Lu, a novel integrated FE and FTC approach is presented to a satellite attitude system under sensor faulty case. The main contributions of this paper are summarized as follows: ( i ) A virtual observer is introduced to enhance the estimation accuracy, and the real FE observer is established from the designed virtual observer, which contains the unmeasurable variable.…”

Section: Introductionmentioning

confidence: 99%

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Integrated fault tolerant attitude control approach for satellite attitude system with sensor faults

Qian

Zheng

2019

Optim Control Appl Methods

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Summary In this study, a novel integrated fault tolerant control (FTC) strategy is proposed for a rigid satellite attitude systems under the case of external disturbance, Lipschitz nonlinearity, and sensor faults. Different from the traditional adaptive fault estimation method, an augmented fault estimation observer is designed for the considered faulty satellite attitude system, which could be used for estimating both system state and sensor fault. A virtual observer is firstly introduced, and then, a real observer is derived as a result of the unmeasurable information to be used for the design of the virtual observer. On this basis, an integrated FTC approach is developed for the considered faulty satellite attitude system by combining backstepping control and fractional order nonsingular terminal sliding mode control techniques, such that the closed‐loop system not only has good robustness to external disturbance but also has better fault tolerance capability to unknown sensor fault. Finally, a simulation example is provided to demonstrate the feasibility and advantage of the proposed FTC scheme.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Integrated fault tolerant attitude control approach for satellite attitude system with sensor faults

Qian

Zheng

2019

Optim Control Appl Methods

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“…Recently, fractional calculus as well as its application begins to attract more and more attention. In the last three decades, many engineers have applied fractional calculus and fractional differential equation theory with various applications [9][10][11][12][13][14]. Backstepping control techniques are powerful tools for their systematic and recursive design methodology for nonlinear feedback control [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Backstepping Fractional Fuzzy Sliding Mode Control of Active Power Filter

2019

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An adaptive fractional-order fuzzy control method for a three-phase active power filter (APF) using a backstepping and sliding mode controller is developed for the purpose of compensating harmonic current and stabilizing the DC voltage quickly. The dynamic model of APF is changed to an analogical cascade system for the convenience of the backstepping strategy. Then a fractional-order sliding mode surface is designed and a fuzzy controller is proposed to approximate the unknown term in the controller, where parameters can be adjusted online. The simulation experiments are conducted and investigated using MATLAB/SIMULINK software package to verify the advantage of the proposed controller. Furthermore, the comparison study between the fractional-order controller and integer-order one is also conducted in order to demonstrate the better performance of the proposed controller in total harmonic distortion (THD), a significant index to evaluate the current quality in the smart grid.

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“…15 Adaptive backstepping fuzzy sliding mode controls to approximate the unknown system dynamics for a cantilever beam were discussed in Fang et al 16 An adaptive fractional-order sliding mode controller with a neural estimator is proposed for a class of systems with nonlinear disturbances and was investigated in Fei and Lu. 17 And in Chu and Fei, 18 an adaptive dynamic special global sliding mode controller that is based on PI derivative (PID) sliding surface using RBFNN for a three-phase APF was presented. The authors present a novel algorithm for the design and analysis of an adaptive backstepping controller (ABC) for a microgyroscope.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy adaptive control of a multimachine system with single inverter supply

Bessaad

Taleb

Chabni

et al. 2019

Int Trans Electr Energ Syst

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Summary Fuzzy controllers are a powerful tool for controlling complex processes. However, its robustness capacity remains moderately limited because it loses its property for large ranges of parametric variations. This paper presents a new form of adaptive control used as a remedy for this issue, applied to the speed control of a multiphase multimachine motor drives system. The multimachines under investigation are a six‐phase and a three‐phase induction motors whose stator windings are connected in series and supplied by a single six‐leg converter and controlled using vector control approach. Fuzzy controllers are used to implement this type of control to increase its robustness. This leads to a fuzzy behavior model control (BMC). The results of the simulation confirm the validity and effectiveness of the control strategy proposed in both terms of performance and robustness (rotor inertia variations J1 = 5 J1nominal) of the provision of such an adaptive control for electrical drives with the two independently controlled machines.

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Adaptive fractional order sliding mode controller with neural estimator

Cited by 138 publications

References 22 publications

Integrated fault tolerant attitude control approach for satellite attitude system with sensor faults

Integrated fault tolerant attitude control approach for satellite attitude system with sensor faults

Adaptive Backstepping Fractional Fuzzy Sliding Mode Control of Active Power Filter

Fuzzy adaptive control of a multimachine system with single inverter supply

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