2019•Unpublished venueRequires access

Adaptive Control for Non-Linear Test Bench Dynamometer Systems

Marika Fanesi, David Scaradozzi

Open publisher page 3 citations

Abstract

Engine-in-the-loop (EiL) setups need accurate and fast dynamometer control systems. An accurate test bench model is a demand approach that also offers a significant potential to provide an excellent reproducibility of test runs. The paper presents a novel EiL approach for ASM (Asynchronous Machine) automotive test bench applications. The non-linearity of an ASM is treated with advanced control techniques defining specific parameters to control and model the machine. The integration of adaptive control on the vehicle under test strongly increases the accuracy of each test. The results demonstrate the improved performance obtained with EiL approach and the significant benefits regarding adaptive control.

About this research paper

What this paper is about

Engine-in-the-loop (EiL) setups need accurate and fast dynamometer control systems. An accurate test bench model is a demand approach that also offers a significant potential to provide an excellent reproducibility of test runs. The paper presents a novel EiL approach for ASM (Asynchronous Machine) automotive test bench applications. The non-linearity of an ASM is treated with advanced control techniques defining specific parameters to control and model the machine. The integration of adaptive control on the vehicle under test strongly increases the accuracy of each test. The results demonstrate the improved performance obtained with EiL approach and the significant benefits regarding adaptive control.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Engine-in-the-loop (EiL) setups need accurate and fast dynamometer control systems. An accurate test bench model is a demand approach that also offers a significant potential to provide an excellent reproducibility of test runs. The paper presents a novel EiL approach for ASM (Asynchronous Machine) automotive test bench applications. The non-linearity of an ASM is treated with advanced control techniques defining specific parameters to control and model the machine. The integration of adaptive control on the vehicle under test strongly increases the accuracy of each test. The results demonstrate the improved performance obtained with EiL approach and the significant benefits regarding adaptive control.

Key concepts: Dynamometer, Test bench, Test (biology), Computer science, Adaptive control, Control (management), Control engineering, Control theory (sociology)

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