Adaptive control of automotive electronic throttle

Pavković, Danijel; Deur, Joško; Jansz, Martin; Perić, Nedjeljko

doi:10.1016/j.conengprac.2005.01.006

Cited by 112 publications

(76 citation statements)

References 6 publications

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“…The equations for calculating the parameters in the limphome compensator are given in Equation (18). For this specific throttle the slope below the limp home position is only slightly higher than the slope above, but this difference can be larger, see for example Scattolini et al (1997), Pavkvić et al (2006).…”

Section: The Static Compensators -Ramp Responsementioning

confidence: 99%

“…This would amend problems that could arise due to parameter variations during a single engine run, for example due to variations in battery voltage and external temperature. These variations has been thoroughly discussed in Pavkvić et al (2006) where an adaptive control is proposed, and is not treated here. Figure 17 compare the controller performance with correct friction estimation and where the friction has been underestimated of 30%.…”

Section: Error In Limp-home Positionmentioning

confidence: 99%

See 1 more Smart Citation

Model-Based Throttle Control using Static Compensators and Pole Placement

Thomasson

Eriksson

2011

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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Résumé -Commande des gaz basée sur un modèle utilisant des compensateurs statiques et un placement de pôles -Au sein des moteurs à allumage commandé modernes, les gaz sont régulés par le boîtier de commande électronique (ECU ; Electronic Control Unit), qui permet la régulation directe par l'ECU du flux d'air et ainsi du couple moteur. Cela conduit à des exigences élevées quant à la vitesse et à la précision du régulateur qui positionne le papillon des gaz. Le problème de commande des gaz est compliqué par deux forts effets non linéaires, le frottement et le couple de mode de secours ("limp-home''). Cet article propose l'utilisation de deux compensateurs statiques, actifs simultanément, pour contrer ces effets et linéariser approximativement le système. Un régulateur PID est conçu pour le système linéarisé, où un placement de pôles est appliqué pour concevoir le régulateur PD et une partie I à gains paramétrés est ajoutée pour la robustesse par rapport aux erreurs de modèle. Un mode opératoire systématique destiné à générer les paramètres du compensateur et du régulateur à partir d'expériences en boucle ouverte est également développé. Les performances du régulateur sont évaluées à la fois par simulation, sur un problème de référence de commande des gaz, et expérimentalement. Une étude de robustesse a montré que la position de mode de secours constitue un paramètre important pour les performances du régulateur, ceci étant souligné par les écarts trouvés au cours des expériences. La méthode proposée pour l'identification des paramètres atteint la précision désirée. Abstract -Model-Based Throttle Control using Static Compensators and Pole Placement -In modern spark ignited engines, the throttle is controlled by the Electronic Control Unit (ECU), which gives the ECU direct control of the air flow and thereby the engine torque. This puts high demands on

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Section: The Static Compensators -Ramp Responsementioning

confidence: 99%

Section: Error In Limp-home Positionmentioning

confidence: 99%

Model-Based Throttle Control using Static Compensators and Pole Placement

Thomasson

Eriksson

2011

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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“…Due to its challenging control features, the ETB has often been chosen as an ideal case study to investigate the performance and robustness of adaptive control schemes in the face of model uncertainties and disturbances as discussed, for example, in [11], [1], [3], [28], [7], [18]. Furthermore, when MRAC algorithms are used to tame the ETB dynamics, the presence of unmodeled terms can induce an unbounded drift of the adaptive gains [2], which are undesirable for safety reasons.…”

Section: Dtmcsi-pp Control Of An Automotive Actuatormentioning

confidence: 99%

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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“…The auto-tuner provides desired control performance, regardless of variations in electronic throttle body parameters due to production deviations, external conditions variations, and effects on aging also. 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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Adaptive control of automotive electronic throttle

Cited by 112 publications

References 6 publications

Model-Based Throttle Control using Static Compensators and Pole Placement

Model-Based Throttle Control using Static Compensators and Pole Placement

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

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

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