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arXiv · 2305.01567

Teaching data-driven control: from linear design to adaptive control with throttle valves

Emmanuel Witrant·Ioan DorÉ Landau·Marie-Pierre Vaillant
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Abstract

Electric throttle valves represent a challenge for control design, as their dynamics involve strong nonlinearities, characterized by an asymmetric hysteresis. Carrying experiments on multiple valves, a large variability in the characteristics of each valve and erratic steady-state behaviors can also be noticed, impairing classical model-based control strategies. Nevertheless, local data-driven linear models can be obtained and simple proportional-integral (PI) controllers, tuned individually for each valve with the appropriate data set, provide good tracking performance. As these controllers cannot be transposed from one valve to another, a robust strategy and an adaptive controller (using identification in closed-loop and controller re-design) may be necessary to propose a general method. This work aims at promoting control education on a simple yet challenging process, going from frequency analysis and linear design to an adaptive control method implemented with an online recursive algorithm.

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Emmanuel Witrant, Ioan DorÉ Landau, Marie-Pierre Vaillant. 2023-03-30. Teaching data-driven control: from linear design to adaptive control with throttle valves. https://arxiv.org/abs/2305.01567

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