Direct Data-Driven Control of Internal Combustion Engine Test Benches using Closed-Loop Experiments
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Proceedings of the 51st IEEE Conference on Decision and Control
This paper proposes a direct data-driven design approach for multivariable control of rotational speed and torque dynamics in a dynamic internal combustion engine test bench. The controller parameters are directly identified from data using a suitably extended version of the algorithm introduced in , allowing closed-loop experiments to be employed. The proposed controller is designed and validated using an accurate simulator of the internal combustion engine test bench on which a comparison with other model-based control strategies is also shown.