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https://hdl.handle.net/10784/29041

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Examinando Artículos por Autor "Chica, J.A.V."

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    Evaluation of two strategies NMPC into HIL applied to the operation of an internal combustion engine
    (Springer-Verlag France, 2018-02-01) Chica, J.A.V.; Torres, A.G.D.; Chica, J.A.V.; Torres, A.G.D.; Universidad EAFIT. Departamento de Ingeniería de Producción; Ingeniería, Energía, Exergía y Sostenibilidad (IEXS)
    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.
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    NMPC controller applied to the operation of an internal combustion engine: formulation and solution of the optimization problem in real time
    (Springer-Verlag France, 2018-02-01) Chica, J.A.V.; Torres, A.G.D.; Acosta Maya, Diego Andres; Chica, J.A.V.; Torres, A.G.D.; Acosta Maya, Diego Andres; Universidad EAFIT. Departamento de Ingeniería de Producción; Ingeniería, Energía, Exergía y Sostenibilidad (IEXS)
    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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    Simulation NMPC in 2-HIL to design ECU
    (Springer-Verlag France, 2017-11-01) Chica, J.A.V.; Torres, A.G.D.; Chica, J.A.V.; Torres, A.G.D.; Universidad EAFIT. Departamento de Ingeniería de Producción; Ingeniería, Energía, Exergía y Sostenibilidad (IEXS)
    The development, testing and tuning of control systems for complex plants found hardware in the loop (HIL) technical, a perfect ally to reduce risks, costs and times redesign. HIL allows for example, in the automotive field contain an embedded system complexity nonlinear dynamics modeling the internal combustion engine, including the processes of discrete events and continuous. With the goal to represent as closely as possible the behavior of the engine, dynamics is simulated by the embedded system in real time, sensors including. On the other hand, the electronic control unit (ECU), by construction also constitutes an embedded system that the plant operates properly. Is of wide interest to optimize engine operation, and a valid opportunity, is to design ECU's that are running optimal control algorithms, such as nonlineal model predictive control (NMPC). This document is a report of the practical reliability of the implementation of a HIL simulation scheme for the design of NMPC controllers for internal combustion engine. In a RT hardware element implements the component models the nonlinear plant, in another such element is implemented and tested two NMPC optimal control algorithms: model predictive control with linearization on-line and NMPC based on sequential quadratic programming, included in the simulation loop the real actuator elements. Combined with an interface to the designer that allows actively interact with the system, evaluating an expanded field operating conditions and even bordering operating limits.