Modeling and multi-objective optimization of an Electronic Throttle in open-loop

Abstract

This paper deals with the preliminary design and optimization of a mechatronic system. We propose to take into account the technology of the system in preliminary design and also to make the optimization of the parametric model separately from the controller system. This approach is illustrated with a simulation model of an Electronic Throttle (ET) using Modelica. This component is challenging due to its nonlinearities and the required fast response time. An optimization of the system is proposed to meet the response time and torque requirements. The contributions of this work lie in the failsafe technology modeling and the optimization in open loop. The presented optimization results demonstrate the efficiency of the proposed methodology.

Design of an Electronic Throttle Body Based on a New Knowledge Sharing Engineering Methodology

“…Modelica has been used by Ferretti et al [7]to model and simulate the behavior of a mechatronic machining center. Another work was done by Mcharek et al [13]. In this work, a mechatronic system called Electronic Throttle Body (ETB) was modelled with Modelica language.…”

Multidisciplinary design optimization using knowledge management applied to an electronic throttle

“…The system is modeled using the object oriented language Modelica within Dymola environment. For interested readers, the equations of the model are detailed in our previous work (Mcharek et al, 2016). The control system consists of a proportional integrator controller which is the most used in industry but should be optimized correctly for robust and efficient control (Abut and Soyguder, 2019).…”

Numerical analysis model of an Air Control Valve The Bond Graph approach

“…Virtually all mathematical models used in controller studies are in explicit, causal computable form (equations, block diagrams), as can be seen in [4], [5], [6], [7] among others. Notable exceptions are [8], [10] and [9] where acausal forms were used in the shape of Modelica models. In [8], the model is used for a multi-objective optimization in openloop by a genetic algorithm, in [10] a set-based concurrent engineering approach is applied on the model for design space exploration while [9] uses it for preliminary validation of the controller.…”

“…Notable exceptions are [8], [10] and [9] where acausal forms were used in the shape of Modelica models. In [8], the model is used for a multi-objective optimization in openloop by a genetic algorithm, in [10] a set-based concurrent engineering approach is applied on the model for design space exploration while [9] uses it for preliminary validation of the controller. Bond graphs could provide an alternative to Modelica by removing the need for the user to rely on premade Modelica objects or programing custom ones.…”