Litcius/Paper detail

Adaptive Tracking Control of an Electronic Throttle Valve Based on Recursive Terminal Sliding Mode

Youhao Hu, Hai Wang, Shuping He, Jinchuan Zheng, Zhaowu Ping, Ke Shao, Zhenwei Cao, Zhihong Man

2020IEEE Transactions on Vehicular Technology83 citationsDOI

Abstract

This paper proposes an adaptive tracking control scheme for an electronic throttle valve (ETV) based on recursive terminal sliding mode (RTSM) control strategy in the presence of parametric uncertainties and lumped disturbance. The developed RTSM dynamical structure for the controller is composed of a fast nonsingular terminal sliding surface and a recursive integral terminal sliding function, such that not only is the reaching phase eliminated, but also a sequential finite-time zero-convergence of both the recursive sliding surfaces and position tracking error are guaranteed. Due to the difficulty in ensuring a satisfactory tracking performance with respective to a broad range of operation conditions in practice, an adaptive mechanism is further developed to estimate both the lumped uncertainty bound and the sliding mode parameters, such that no prior knowledge of the system is required in the controller leading to the effective improvement of the flexibility and simplicity of sliding mode-based ETV control systems. Comparative experiments are conducted to verify that the proposed control enjoys a fast finite-time convergence and superior robustness with respect to uncertainties and disturbances.

Topics & Concepts

Control theory (sociology)Terminal sliding modeSliding mode controlRobustness (evolution)Parametric statisticsRobust controlController (irrigation)Tracking errorAdaptive controlComputer scienceEngineeringControl systemMathematicsNonlinear systemControl (management)AgronomyArtificial intelligenceBiologyQuantum mechanicsBiochemistryGeneStatisticsChemistryPhysicsElectrical engineeringAdaptive Control of Nonlinear SystemsHydraulic and Pneumatic SystemsIterative Learning Control Systems