Robust Discrete-Time MRAC With Minimal Controller Synthesis of an Electronic Throttle Body

Montanaro, Umberto; Gaeta, Alessandro di; Giglio, Veniero

doi:10.1109/tmech.2013.2247614

Cited by 51 publications

(29 citation statements)

References 20 publications

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“…For the desired throttle angle input ( , the throttle control system provides a motor voltage (UMotor) signal to the H-Bridge driver circuit.For actuating the motor, H-bridge creates a motor armature current with an equivalent direction and duty cycle. In order to reduce the position error of the throttle valve a closed loop feedback control system is accomplished by using a throttle position sensor signal [29][30][31][32][33][34].…”

Section: Electronic Throttle Body (Etb) Modelingmentioning

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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Section: Electronic Throttle Body (Etb) Modelingmentioning

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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“…From a modeling viewpoint, it has been show in [11,27] that, by choosing as state variables the position and velocity of the valve and as control input the armature voltage to the DC motor embedded in the system, the ETB dynamics can be approximated as a second order LTI system in control canonical form subjected to nonlinear disturbances, which is required by the DTMCSI-PP algorithm. For all those reasons, the ETB is an excellent device to test the adaptive law presented in Section 2.…”

Section: Dtmcsi-pp Control Of An Automotive Actuatormentioning

confidence: 99%

“…The tracking error during tip-in/tip-out conditions has been limited with a Smooth Trajectory Reference (STR) implemented as a first-order filter as in [11,27].…”

Section: Dtmcsi-pp Implementation Detailsmentioning

confidence: 99%

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Discrete-time integral MRAC with minimal controller synthesis and parameter projection

Montanaro

Olm

2015

Journal of the Franklin Institute

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Model reference adaptive controllers with Minimal Control Synthesis are effective control algorithms to guarantee asymptotic convergence of the tracking error to zero not only for disturbance-free uncertain linear systems, but also for highly nonlinear plants with unknown parameters, unmodeled dynamics and subject to perturbations. However, an apparent drift in adaptive gains may occasionally arise, which can eventually lead to closed-loop instability. In this article, we address this key issue for discrete-time systems under L 2 disturbances using a parameter projection algorithm. A consistent proof of stability of all the closed-loop signals is provided, while tracking error is shown to asymptotically converge to zero. We also show the applicability of the adaptive algorithm for digitally controlled continuous-time plants. The proposed algorithm is numerically validated taking into account a discrete-time LTI system subject to parameter uncertainty, parameter variations and L 2 disturbances. Finally, as a possible engineering application of this novel adaptive strategy, the control of a highly nonlinear electromechanical actuator is considered.

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“…However, the feedforward controller could not compensate nonlinear hysteresis (NH) accurately as the designed fuzzy rules were too simple. Montanaro et al 20 presented a novel discretetime model reference adaptive control (MRAC) method to cope with the nonlinear and discontinuous dynamics of the ET, where a class of minimal control synthesis (MCS) algorithms was extended by adding an explicit discrete-time adaptive integral action and an adaptive robust term. Experimental investigation verified the effectiveness of this method.…”

Section: Introductionmentioning

confidence: 99%

Extended state observer–based intelligent double integral sliding mode control of electronic throttle valve

Yang

Zhang

et al. 2017

Advances in Mechanical Engineering

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Motivated by achieving precise positioning of the throttle plate, an extended state observer-based intelligent double integral sliding mode control strategy is proposed for the electronic throttle control system. Specifically, an extended state observer is first designed to observe the opening angle change of the electronic throttle and compensate unexpected external disturbance. On this basis, an intelligent double integral sliding mode controller for electronic throttle valve is presented based on Lyapunov stability theory and sliding mode control theory, which includes stability analysis and parameter adaptation design. Finally, extensive simulations are conducted to demonstrate the superior performance of the proposed method.

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Robust Discrete-Time MRAC With Minimal Controller Synthesis of an Electronic Throttle Body

Cited by 51 publications

References 20 publications

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

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

Discrete-time integral MRAC with minimal controller synthesis and parameter projection

Extended state observer–based intelligent double integral sliding mode control of electronic throttle valve

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