From adaptive control to variable structure systems – seeking harmony

Oliveira, Tiago Roux; Ortega, Roméo

doi:10.1002/acs.2705

Cited by 7 publications

(5 citation statements)

References 25 publications

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“…Proof. The first step of the proof is to demonstrate that when using the control law (12) with modulation function (14), the sliding variable reaches the region |𝜎| ≤ 𝜖∕r 2 with the guarantee that the specifications of the settling time and maximum overshoot are not violated. Consider the following Lyapunov-like candidate function for (2)…”

Section: Stability Analysismentioning

confidence: 99%

“…On the application side, research on modern vehicle engineering has focused on the design of energy storage devices in electric and hybrid vehicles 11,12 . Also, anti‐lock braking system (ABS) can be designed taking advantage of the sensors embedded in the new cars 13 with robust and adaptive control strategies 14‐16 . In this context, our adaptive scheme seems appropriate to be applied to an ABS ensuring that the slip coefficient corresponding to the maximum coefficient of friction between the tire and road is quickly achieved during the braking process of the car.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive sliding mode control with guaranteed performance based on monitoring and barrier functions

Rodrigues

Hsu

Oliveira

2021

Adaptive Control & Signal

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This paper proposes a new adaptive sliding mode control approach via output feedback for a class of nonlinear systems. The sliding-mode based controller can deal with parametric uncertainties and (un)matched disturbances with unknown upper bounds. Finite-time convergence of the tracking error to a predefined neighborhood of the origin of the closed-loop system is proved with guaranteed transient and steady-state performance. Basically, the novelty of our result lies on combining two important adaptation tools: monitoring and barrier functions. The adaptation process is divided into two stages, where an appropriate monitoring function allows for the specification of performance criteria during the transient phase, while the barrier function ultimately confines the tracking error within a small residual set in steady state. Simulation results including an application to Anti-lock Braking System illustrate the advantages of the proposed adaptive control strategy.

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Section: Stability Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive sliding mode control with guaranteed performance based on monitoring and barrier functions

Rodrigues

Hsu

Oliveira

2021

Adaptive Control & Signal

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“…However, the gain selections in above guidance laws are in dependence of artificial experience or accurate state information. Therefore, a way to adjust the gain with dynamical adaptation is needed [16]- [18].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Sliding Mode Guidance With Impact Time and Angle Constraints

Liu

2020

IEEE Access

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Based on adaptive sliding mode control method, this paper considers the interception problem to deal with both impact time and angle constraints. The stability and convergence characteristic of proposed guidance law are analyzed. The requirements of the terminal constraints and minimum miss distance can be satisfied. An adaptive law is put forward to adjust the guidance gain. The simulation results indicate that the missile with proposed guidance law can intercept the target successfully with not only desired impact time but also expected impact angle. The interception task can be fulfilled in a satisfactory manner.INDEX TERMS Guidance law, impact time, impact angle, adaptive sliding mode control.

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Section: Introductionmentioning

confidence: 99%

“…A way to adjust the gain in controller is thanks to a dynamical adaptation idea, the concept related to gain-adaptive strategy attracted attention for the gain magnitude is adjusted with respect to error variations. [14][15][16] A global differentiator with dynamic gains has been presented in Oliveira et al 17 to solve the problem of trajectory tracking with arbitrary relative degree and disturbances. In order to decrease chattering and develop the controller design, an adaptivegain second order sliding mode control is proposed in Plestan et al 18 The control performance of this strategy is demonstrated in application of the electropneumatic actuator.…”

Section: Introductionmentioning

confidence: 99%

Nonsingular adaptive-gain super-twisting guidance with an impact angle constraint

2018

Proceedings of the Institution of Mechanical Engineers, Part G:

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In this study, a nonsingular adaptive-gain super-twisting (AGSTW) guidance law is proposed to intercept a target with an impact angle constraint. The stability and convergence characteristic of the AGSTW guidance law are analyzed. The control chattering in system could be mitigated in the presence of uncertainty with unknown boundary. To validate the superiority of the proposed strategy, simulation comparisons with a conventional super-twisting and a sliding mode guidance law are carried out. The results indicate that the proposed AGSTW guidance law could make a missile intercept the target with more favorable miss distance and angle tracking error. The requirement of intercepting different targets could be met in a more satisfactory manner.

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From adaptive control to variable structure systems – seeking harmony

Cited by 7 publications

References 25 publications

Adaptive sliding mode control with guaranteed performance based on monitoring and barrier functions

Adaptive sliding mode control with guaranteed performance based on monitoring and barrier functions

Adaptive Sliding Mode Guidance With Impact Time and Angle Constraints

Nonsingular adaptive-gain super-twisting guidance with an impact angle constraint

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