Barrier Lyapunov Function-Based Adaptive Back-Stepping Control for Electronic Throttle Control System

Wang, Dapeng; Liu, Shaogang; He, Youguo; Shen, Jie

doi:10.3390/math9040326

Cited by 7 publications

(5 citation statements)

References 25 publications

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“…[47] is a constrained control for nonlinear systems and is a suitable candidate to investigate the efficacy of the proposed constrained control framework. The simulation results of the three controllers applied to the robotic manipulator (25) are illustrated in In fact, the main focus of the constrained controls (5) and (20) in Berger [47] is to satisfy constraints on the tracking error, and they are not able to make the tracking errors converge to zero. Based on this example, the proposed control accomplishes superior performance over the two controls in Berger [47].…”

Section: Simulation Resultsmentioning

confidence: 99%

“…For instance, to prevent the end effectors of robot manipulators from colliding with obstacles in the environment, they have to work within a specific space. During the recent years, several approaches such as Barrier Lyapunov Function (BLF) [25] and prescribed performance control (PPC) [26] have been employed to achieve certain safety measures and performance requirements in the transient and steady-state responses of EL systems. To provide output constraints of a robot manipulator, a combination of adaptive neural network control and the BLF approach is utilized in [27].…”

Section: Introductionmentioning

confidence: 99%

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Smooth, Singularity-Free, Finite-Time Tracking Control for Euler–Lagrange Systems

Xuan-Mung

Golestani

2022

Mathematics

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This paper investigates the problem of constrained finite-time tracking control of Euler–Lagrange systems subject to system uncertainties and external disturbances. Firstly, we introduce a nonsingular, fast, constrained terminal sliding manifold (NFCTSM) that contains a time-varying gain to deal with the output tracking error constraint. Therefore, the desired performance in steady-state and transience such as ultimate-tracking-error bound, maximum overshoot, and convergence speed are provided . Then, based on the proposed NFCTSM, a smooth adaptive finite-time control is designed such that the tracking errors converge to an arbitrary small region around the origin during a finite period of time. Moreover, the square of the upper bound of the lumped uncertainty is estimated by the adaptive law in order not to use the discontinuous signum function. The efficacy and usefulness of the proposed control methodology are demonstrated via simulation results and comparison with relevant works.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Smooth, Singularity-Free, Finite-Time Tracking Control for Euler–Lagrange Systems

Xuan-Mung

Golestani

2022

Mathematics

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“…However, controlling the ETV is complex due to various nonlinear factors, including stick-slip friction, gear clearance, and discontinuous nonlinear springs [ 5 ]. In recent years, several control strategies have been proposed for ETV, including PID control [ 6 , 7 , 8 ], optimal control [ 9 , 10 ], adaptive control [ 11 , 12 , 13 , 14 ], and sliding mode control [ 15 , 16 , 17 , 18 ]. Among them, sliding mode (SM) control is a powerful nonlinear control method that can achieve stable and robust control even in the presence of model uncertainties and external disturbances, which makes SM well-suited for ETVs.…”

Section: Introductionmentioning

confidence: 99%

“…Further, Liu et at. [ 14 ] and Wang et al [ 13 ] applied adaptive control to the electronic throttle system and made progress in the tracking error. However, in specific applications, ensuring the stability of these intelligent methods is challenging, and incorrect parameter update rules could result in system instability.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Second-Order Fixed-Time Sliding Mode Controller with a Disturbance Observer for Electronic Throttle Valves

Feng,

Long,

Yao

et al. 2023

Sensors

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In order to enhance the precision and speed of control for electronic throttle valves (ETVs) in the face of disturbance and parameter uncertainties, an adaptive second-order fixed-time sliding mode (ASOFxTSM) controller is developed, along with disturbance observer compensation techniques. Initially, a control-oriented model specifically considering lumped disturbances within the ETV is established. Secondly, to address the contradiction between fast response and heavy chattering of conventional fixed-time sliding mode, a hierarchical sliding surface approach is introduced. This approach proficiently alleviates chattering effects while preserving the fixed convergence properties of the controller. Furthermore, to enhance the anti-disturbance performance of the ETV control system, an innovative fixed-time sliding mode observer is incorporated to estimate lumped disturbances and apply them as a feed-forward compensation term to the ASOFxTSM controller output. Building upon this, a parameter adaptive mechanism is introduced to optimize control gains. Subsequently, a rigorous stability proof is conducted, accompanied by the derivation of the expression for system convergence time. Finally, a comparison is drawn between the proposed controller and fixed-time sliding mode and super-twisting controllers through simulations and experiments. The results demonstrate the superiority of the proposed method in terms of chattering suppression, rapid dynamic response, and disturbance rejection capability.

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“…Because electronic throttle valve systems feature many nonsmooth nonlinearities, the system is very hard to control [13][14][15]. Several studies have investigated nonlinear control for electronic throttle systems [16][17][18][19][20], which are typically depicted by a nonlinear dynamical system [13,17]. Modifying one of these parameters alters the dynamics that exhibit chaos motion, leading to instability of engine running.…”

Section: Introductionmentioning

confidence: 99%

Stability Analysis and Chaos Control of Electronic Throttle Dynamical System

Chang

2021

Mathematical Problems in Engineering

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This study addresses bifurcation analysis and controlling chaos in a vehicular electronic throttle. Using analysis techniques from nonlinear dynamics of an electronic throttle system based on bifurcation diagrams, we establish the existence of period-doubling and intermittency routes to chaos. The largest Lyapunov exponent is estimated from the synchronization to identify periodic and chaotic motions. Finally, the proposed continuous feedback control is employed to control chaos. To verify the effectiveness of the raised control strategy, we present a number of numerical simulations.

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Barrier Lyapunov Function-Based Adaptive Back-Stepping Control for Electronic Throttle Control System

Cited by 7 publications

References 25 publications

Smooth, Singularity-Free, Finite-Time Tracking Control for Euler–Lagrange Systems

Smooth, Singularity-Free, Finite-Time Tracking Control for Euler–Lagrange Systems

Adaptive Second-Order Fixed-Time Sliding Mode Controller with a Disturbance Observer for Electronic Throttle Valves

Stability Analysis and Chaos Control of Electronic Throttle Dynamical System

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