Robust adaptive position control of automotive electronic throttle valve using PID-type sliding mode technique

Wang, Hai; Liu, Linfeng; He, Ping; Yu, Ming; Do, Manh Tuan; Kong, Huifang; Man, Zhihong

doi:10.1007/s11071-016-2763-8

Cited by 40 publications

(18 citation statements)

References 27 publications

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“…. In [10], the robust adaptive PID sliding mode control (RASM) strategy, the PID controller in [9], and the H∞ controller in [21] are used to verify the transient performance and robustness. The parameter values constructed by the joint simulation model are shown in Table 1.…”

Section: Simulation Comparison With Existing Strategiesmentioning

confidence: 99%

“…However, when the ERS encounters various parameter changes and nonlinearities during dynamic high-speed motion, it cannot ensure acceptable tracking performance. Robust sliding mode control is also applied to controller design due to its strong robustness to system uncertainties [10,11]. For example, in [10], a robust adaptive sliding mode controller is proposed for ERS, which uses the ability of adaptive online estimation to estimate the boundary of uncertain parameters and the adjustable gain of the sliding mode controller.…”

Section: Introductionmentioning

confidence: 99%

“…Robust sliding mode control is also applied to controller design due to its strong robustness to system uncertainties [10,11]. For example, in [10], a robust adaptive sliding mode controller is proposed for ERS, which uses the ability of adaptive online estimation to estimate the boundary of uncertain parameters and the adjustable gain of the sliding mode controller. Nevertheless, the parameters of the process update are greatly affected when the nonlinearity of the system is large.…”

Section: Introductionmentioning

confidence: 99%

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Synthesis and Verification of Finite-Time Rudder Control with GA Identification for Electric Rudder System

Yang

Guo

et al. 2020

Energies

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The electric rudder system (ERS) is the executive mechanism of the flight control system, which can make the missile complete the route correction according to the control command. The performance and quality of the ERS directly determine the dynamic quality of the flight control system. However, the transient and static characteristic of ERS is affected by the uncertainty of physical parameters caused by nonlinear factors. Therefore, the control strategy based on genetic algorithm (GA) identification method and finite-time rudder control (FTRC) theory is studied to improve the control accuracy and speed of the system. Differently from the existing methods, in this method, the difficulty of parameter uncertainty in the controller design is solved based on the ERS mathematical model parameter identification strategy. Besides, in this way, the performance of the FTRC controller was verified by cosimulation experiments based on automatic dynamic analysis of mechanical systems (ADAMS) (MSC software, Los Angeles, CA, USA) and matrix laboratory (MATLAB)/Simulink (MathWorks, Natick, MA, USA). In addition, the advantages of the proposed method are verified by comparing with the existing strategy results on the rudder test platform, indicating that the control accuracy is improved by 70% and the steady-state error is reduced by at least 50%.

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Section: Simulation Comparison With Existing Strategiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Synthesis and Verification of Finite-Time Rudder Control with GA Identification for Electric Rudder System

Yang

Guo

et al. 2020

Energies

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“…The simulated results showed that robust adaptive neural-based fuzzy inference controller outperforms the other suggested controllers [20]. Wang et al (2016) proposed a robust adaptive scheme for position control of electronic throttle (ET) valve. Design of robust adaptive sliding mode (RASM) control scheme has been developed to adapt, estimate and compensate nonlinearities due to gear backlash, return-spring limp frictions and parameter uncertainties.…”

Section: Introductionmentioning

confidence: 99%

“…Design of robust adaptive sliding mode (RASM) control scheme has been developed to adapt, estimate and compensate nonlinearities due to gear backlash, return-spring limp frictions and parameter uncertainties. A satisfactory dynamic performance has been presented by RASM controller for position control of ET system [21]. In reference [22], Xiao-Jian Li and Guang-Hong Yang focused on the adaptive decentralized control problem for a class of interconnected nonlinear systems, where the interconnections are assumed to be unknown and completely nonlinear.…”

Section: Introductionmentioning

confidence: 99%

Design and Comparative Study of Advanced Adaptive Control Schemes for Position Control of Electronic Throttle Valve

Humaidi

Hameed

2019

Information

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This paper investigates the performance of two different adaptive control schemes for controlling the angular position of an electronic throttle (ET) plate. The adaptive backstepping controller and adaptive sliding mode backstepping controller are the controllers under consideration. The control design based on these adaptive controllers is firstly addressed and the stability analysis of each controller has been presented and the convergence of both position and estimation errors for both controllers have been proved. A comparison study of the performance of both controllers has been conducted in terms of system transient characteristics and the behavior of their associated adaptive gain. The simulation has been implemented within the environment of the MATLAB package.

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Real-Time Control Systems with Applications in Mechatronics

Wang¹,

Hu²,

Ye³

et al. 2022

Handbook of Real-Time Computing

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Robust adaptive position control of automotive electronic throttle valve using PID-type sliding mode technique

Cited by 40 publications

References 27 publications

Synthesis and Verification of Finite-Time Rudder Control with GA Identification for Electric Rudder System

Synthesis and Verification of Finite-Time Rudder Control with GA Identification for Electric Rudder System

Design and Comparative Study of Advanced Adaptive Control Schemes for Position Control of Electronic Throttle Valve

Real-Time Control Systems with Applications in Mechatronics

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