Neural networks based self-learning PID control of electronic throttle

Yuan, Xiaofang; Wang, Yaonan

doi:10.1007/s11071-008-9371-1

Cited by 29 publications

(16 citation statements)

References 12 publications

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“…An ET system consists of a dc drive (powered by the chopper), a gearbox, a valve plate, a dual return spring, and a position sensor [14], [23], [24]. Fig.…”

Section: Modelmentioning

confidence: 99%

“…However, the friction compensator is prone to high-frequency oscillations under steady-state conditions, which are not transferred to the output signal practically. Yuan et al [14] proposed a neural network based self-learning PID controller. However, the back propagation (BP) algorithm used in the neural network can deteriorate the performance of the controller [15]- [17].…”

mentioning

confidence: 99%

“…The study contributions are as follows. First, in the ET controller design, many previous studies [10], [14], [18]- [22], [25]- [27] treat only the throttle opening angle error as feedback, and do not consider the throttle opening angle change error. To the best of our knowledge, this study is the first to consider both the throttle opening angle error and the throttle opening angle change error as feedback.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Extended-State-Observer-Based Double-Loop Integral Sliding-Mode Control of Electronic Throttle Valve

Yang

Zheng

et al. 2015

IEEE Trans. Intell. Transport. Syst.

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An extended-state-observer-based double-loop integral sliding-mode controller for electronic throttle (ET) is proposed by factoring the gear backlash torque and external disturbance to circumvent the parametric uncertainties and nonlinearities. The extended state observer is designed based on a nonlinear model of ET to estimate the change of throttle opening angle and total disturbance. A double-loop integral sliding-mode controller consisting of an inner loop and an outer loop is presented based on the opening angle and opening angle change errors of ET through Lyapunov stability theory. Numerical experiments are conducted using simulation. The results show that the accuracy and the response time of the proposed controller are better than those of the back-stepping and sliding mode control. Index Terms-Double-loop integral sliding-mode control (DLISMC), extended state observer (ESO), electronic throttle (ET) control.

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“…An ET system consists of a dc drive (powered by the chopper), a gearbox, a valve plate, a dual return spring, and a position sensor [14], [23], [24]. Fig.…”

Section: Modelmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Extended-State-Observer-Based Double-Loop Integral Sliding-Mode Control of Electronic Throttle Valve

Yang

Zheng

et al. 2015

IEEE Trans. Intell. Transport. Syst.

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“…It is well known that PI control can assure closed-loop stability without requiring knowledge of the servomechanism parameters [25][26][27][28][29]. We propose a modification of the standard PI controller as follows.…”

Section: Definitionmentioning

confidence: 99%

Asymmetric modelling and control of an electronic throttle

Pujol

Vidal

Acho

et al. 2015

Int J Numerical Modelling

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Summary This paper presents an improved model for an automotive electronic throttle inspired on the behaviour observed in real‐time experiments. Due to a number of issues, particularly the return‐spring, the performance of the throttle valve depends on whether it is opening or closing. This asymmetric behaviour was taken into account to design a mathematical model of the throttle body and to derive a nonlinear asymmetric Proportional Integral controller. The experimental demonstration suggests that considering an asymmetric term dramatically improves the performance of the controller. Copyright © 2015 John Wiley & Sons, Ltd.

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“…Self-tuning strategy deals with process parameter variations which occur during a single engine run [19,20]. Also the control systems developments by some of researches have focused to deal with the electronic throttle nonlinearities, based on neural network [21,22] and fuzzy logic [23].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Pedal Follower and Torque Based Approach for Electronic Throttle Control in a Motorcycle Engine

Ashok

Sharmila

Kumar

2017

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Abstract. Nowadays, electronic throttle control system is widely adapted in the motorcycle for better drivability, fuel economy and reduces the emissions. In such systems, pedal follower or torque based approach are used for calculating the required throttle angle for the given torque demand by driver. This work presents a throttle control system for the precise estimation of throttle angle based on the integrated pedal follower and torque based approach for the given accelerator position and torque demand by the driver. A mathematical model for an electronic throttle body is developed to understand the effects of nonlinearities due to friction and limp home dual springs. A PID controller with compensators are developed to handle the nonlinearities due to the friction and limp home dual springs in the proposed electronic throttle control system. A simulation study has been carried out using software in loop and hardware in loop simulation approaches for step, sinusoidal, and ramp input signals. The responses of electronic throttle body for opening the throttle angle and error are analyzed for the given input signals. The simulation result shows that the proposed compensators has significant advantage in reducing the throttle angle error and gives the desired output.

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Neural networks based self-learning PID control of electronic throttle

Cited by 29 publications

References 12 publications

Extended-State-Observer-Based Double-Loop Integral Sliding-Mode Control of Electronic Throttle Valve

Extended-State-Observer-Based Double-Loop Integral Sliding-Mode Control of Electronic Throttle Valve

Asymmetric modelling and control of an electronic throttle

An Integrated Pedal Follower and Torque Based Approach for Electronic Throttle Control in a Motorcycle Engine

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