2 research outputs found

    Evaluation of two strategies NMPC into HIL applied to the operation of an internal combustion engine

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    The hardware in the loop (HIL) platforms constitute an accelerated engineering design medium that subsequently reduces the risk of failure in the implementation process. This fact is enhanced when the designer is faced with extremely complex tasks and when design errors can lead to destructive and costly testing. The design of complex algorithms such as non-linear controllers applied to electronic control units of combustion engines, is a task of higher complexity level, and tests with incorrectly adjusted drivers can result in engine breakdown. This document reports the performance and effectiveness of a two-HIL scheme as an interactive design platform used for the design of electronic control units ECU, for internal combustion engines. The implementation and adjustment of two NMPC strategies aimed at optimizing the operation of the engine from three fronts: energetic, economic and environmental, involving independent and simultaneous objectives, give an account of the usefulness of the interactive design scheme. © 2017, Springer-Verlag France

    NMPC controller applied to the operation of an internal combustion engine: formulation and solution of the optimization problem in real time

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    Numerical optimization solve problems efficiently where such efficiency is focused on the speed with which the optimal x* is achieved, is open line of research and strong work in the scientific community in order to achieve control systems in dynamic processes with response times of the order of milliseconds. A clear example of this, is the implementation of optimal controller’s combustion engines. For subsequent approach to the design and implementation of nonlinear model predictive control controllers, it has made a comparison of yields algorithms quadratic programming by active set with linearization restrictions, and sequential quadratic programming with single shooting technique to solve quadratic optimization problem formulation referred to a dynamic internal combustion engine of spark ignition, in embedded systems with real-time processing. © 2016, Springer-Verlag France
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