Adaptive nonsingular fast terminal sliding mode controller design for a smart flexible satellite in general planar motion

Ghorbani, Hossein; Vatankhah, Ramin; Farid, Muhammad

doi:10.1016/j.ast.2021.107100

Cited by 20 publications

(7 citation statements)

References 31 publications

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“…By referring to Refs, 6,[24][25][26] the hypothesis that the lumped uncertainties are bounded by a superior bourne is considered and it is written on this form:…”

Section: Problem Statementmentioning

confidence: 99%

“…Accordingly, by choosing this sliding surface, given this control law, the tracking error will converge to zero in a finite-time. 24,25,27 Proof Consider the nominate Lyapunov function as:…”

Section: Nftsm Controllermentioning

confidence: 99%

“…Step 6: Create new pattern-solutions and update them according to equations ( 23) and (24) Step 7: Updating of the weight matrix based on equation (25) while respecting the constraint of equation (22) Step 8: Verifying bias condition (If rand4 b ) applying the bias operator for the updated pattern-solutions and weight matrix Step 9: If not (i.e. rand .…”

Section: Neural Network Optimization Algorithmmentioning

confidence: 99%

“…This technique utilizes a sliding surface of non-linear nature likely to force a high rate of convergence to the system toward its equilibrium state, even if it is far away. 6,24,25 In the following subsections, a problem statement is carried out alongside with NFTSM sliding surface. Then, a lateral control law is expressed to minimize the deviation between the vehicle’s lateral position and orientation with respect to the reference maneuver.…”

Section: Controller Designmentioning

confidence: 99%

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Neural network optimization algorithm based non-singular fast terminal sliding-mode control for an uncertain autonomous ground vehicle subjected to disturbances

Hajjami

Mellouli

Žuraulis

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part D:

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As computer computing capabilities increase, optimization algorithms are becoming more useful for solving engineering problems. Up to now, several metaheuristic algorithms have been exploited in control engineering. However, this effort remains weak in addressing the autonomous ground vehicles (AGVs) trajectory tracking problem. This research presents a novel optimal approach merging the robust non-singular fast terminal sliding-mode control method (NFTSMC) and the neural network optimization algorithm (NNA) for automatic lane changing. First, a reference double lane-change path (DLC) is designed, and the robust non-singular fast terminal sliding-mode steering controller is developed, according to Lyapunov stability theory, to suppress the lateral deviation and ensure the yaw stability. Then, the control strategy is optimized by the NNA algorithm to adjust the steering controller optimally while avoiding local optimums. A comparison, under the same conditions, with the particle swarm optimization algorithm (PSO) revealed the superiority of the control law resulting from the NNA-based optimization. Furthermore, the proposed approach shows its excellent tracking performance versus the integrated backstepping sliding-mode controller (IBSMC) and the adaptive sliding-mode control (ASMC) under severe conditions typical of real-world lane changes.

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“…By referring to Refs, 6,[24][25][26] the hypothesis that the lumped uncertainties are bounded by a superior bourne is considered and it is written on this form:…”

Section: Problem Statementmentioning

confidence: 99%

Section: Nftsm Controllermentioning

confidence: 99%

Section: Neural Network Optimization Algorithmmentioning

confidence: 99%

Section: Controller Designmentioning

confidence: 99%

See 2 more Smart Citations

Neural network optimization algorithm based non-singular fast terminal sliding-mode control for an uncertain autonomous ground vehicle subjected to disturbances

Hajjami

Mellouli

Žuraulis

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

show abstract

“…An adaptive slidingmode control law was also designed by means of a backstepping method to compensate for the unknown and uncertain parts of aircraft systems (Zhuang et al, 2021). Adaptive sliding-mode control has thus been widely studied in recent years, particularly because of its obvious advantages in nonlinear systems with uncertainties (Ghorbani et al, 2021;Liu et al, 2019;Nguyen et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Gear injury equilibrium-oriented self-adjusted shifting strategy and advanced servo control

Lyu,

Wu,

Wang

et al. 2023

Mech. Sci.

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Abstract. The application of a self-adjusted strategy has received increasing attention in current transmission design. This paper proposes a gear injury equilibrium oriented self-adjusted shifting strategy (EASS), which can make injury of different gears consistent. First, the injury value of different gears was judged in real time, and the working time of the gear with the largest injury value was reduced by adjusting the shift curve. Second, by considering key points as constraints, an optimal displacement trajectory for a synchronizer was proposed, and then a compound control method using adaptive nonsingular global fast-terminal sliding-mode control (AN-GFTSMC) was developed, which enables a high tracking performance and a better parameter perturbation rejection ability. Finally, both the simulation and real-vehicle experimental results showed that, compared with conventional control, the designed control strategy had good performance: response time was decreased, gear injury tended to be consistent, and transmission reliability was improved.

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Prescribed modal vibration control and disturbance load analysis of rigid-flexible satellites

Han,

Xia,

Wang

et al. 2024

Advances in Space Research

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Adaptive nonsingular fast terminal sliding mode controller design for a smart flexible satellite in general planar motion

Cited by 20 publications

References 31 publications

Neural network optimization algorithm based non-singular fast terminal sliding-mode control for an uncertain autonomous ground vehicle subjected to disturbances

Neural network optimization algorithm based non-singular fast terminal sliding-mode control for an uncertain autonomous ground vehicle subjected to disturbances

Gear injury equilibrium-oriented self-adjusted shifting strategy and advanced servo control

Prescribed modal vibration control and disturbance load analysis of rigid-flexible satellites

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