Application of a Robust Model Reference Adaptive Control Algorithm to a Nonlinear Automotive Actuator

Alessandro di Gaeta; Umberto Montanaro

doi:10.1007/s11633-014-0803-8

Application of a Robust Model Reference Adaptive Control Algorithm to a Nonlinear Automotive Actuator

doi: 10.1007/s11633-014-0803-8

Istituto Motori, National Research Council, Naples, Italy

详细信息

作者简介:
Alessandro di Gaeta received his “Laurea” degree (M. Sc.) cum laude in computer science engineering and his Ph. D. degree in automatic control from the University of Naples “Federico II”, Italy in 1999 and 2003, respectively. From 2003 to 2006 he was a postdoctoral research fellow at the Istituto Motori, Italian National Research Council, Italy. Since 2007 he worked as researcher in the automotive control field. He is co-author of the book Common Rail System for GDI Engines as Modelling, Identification, and Control, published by Springer London, January, 2013. His research interests include modelling, analysis and control of automotive mechatronic systems and of spark ignition engines. E-mail: a.digaeta@im.cnr.it

Application of a Robust Model Reference Adaptive Control Algorithm to a Nonlinear Automotive Actuator

Istituto Motori, National Research Council, Naples, Italy

摘要: Model reference adaptive control is a viable control method to impose the demanded dynamics on plants whose parameters are affected by large uncertainty. In this paper, we show by means of experiments that robust adaptive methods can effectively face nonlinearities that are common to many automotive electromechanical devices. We consider here, as a representative case study, the control of a strongly nonlinear automotive actuator. The experimental results confirm the effectiveness of the method to cope with unmodeled nonlinear terms and unknown parameters. In addition, the engineering performance indexes computed on experimental data clearly show that the robust adaptive strategy provides better performance compared with those given by a classical model-based control solution with fixed gains.
- Model reference adaptive control /
- robust adaptive control /
- nonlinear systems /
- automotive control /
- electronic throttle body /
- electromechanical actuators
Abstract: Model reference adaptive control is a viable control method to impose the demanded dynamics on plants whose parameters are affected by large uncertainty. In this paper, we show by means of experiments that robust adaptive methods can effectively face nonlinearities that are common to many automotive electromechanical devices. We consider here, as a representative case study, the control of a strongly nonlinear automotive actuator. The experimental results confirm the effectiveness of the method to cope with unmodeled nonlinear terms and unknown parameters. In addition, the engineering performance indexes computed on experimental data clearly show that the robust adaptive strategy provides better performance compared with those given by a classical model-based control solution with fixed gains.
- Model reference adaptive control /
- robust adaptive control /
- nonlinear systems /
- automotive control /
- electronic throttle body /
- electromechanical actuators

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Application of a Robust Model Reference Adaptive Control Algorithm to a Nonlinear Automotive Actuator

doi: 10.1007/s11633-014-0803-8

Application of a Robust Model Reference Adaptive Control Algorithm to a Nonlinear Automotive Actuator

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Application of a Robust Model Reference Adaptive Control Algorithm to a Nonlinear Automotive Actuator

doi: 10.1007/s11633-014-0803-8

Istituto Motori, National Research Council, Naples, Italy

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Application of a Robust Model Reference Adaptive Control Algorithm to a Nonlinear Automotive Actuator

Istituto Motori, National Research Council, Naples, Italy

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Application of a Robust Model Reference Adaptive Control Algorithm to a Nonlinear Automotive Actuator

doi: 10.1007/s11633-014-0803-8

Application of a Robust Model Reference Adaptive Control Algorithm to a Nonlinear Automotive Actuator

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Application of a Robust Model Reference Adaptive Control Algorithm to a Nonlinear Automotive Actuator

doi: 10.1007/s11633-014-0803-8

Istituto Motori, National Research Council, Naples, Italy

English Abstract

Application of a Robust Model Reference Adaptive Control Algorithm to a Nonlinear Automotive Actuator

Istituto Motori, National Research Council, Naples, Italy

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