Examinando por Materia "Automotive"
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Ítem 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.Ítem 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; Universidad EAFIT. Departamento de Ingeniería de Procesos; Desarrollo y Diseño de ProcesosNumerical 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.Ítem 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 Procesos; Procesos Ambientales (GIPAB)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.Ítem Propuesta de sinergias para una compañía automotriz(Universidad EAFIT, 2021) Trujillo Rivas, Ignacio; Rivas Montoya, Luz MaríaThis document aims to explain further the concept of synergies, through a focus on multi-business companies. Some synergies are built corpocentrically, which could generate resistance on the managers, because those synergies can harm teamwork, products and internal competition, as well as that it can have errors in the calculation since there is no approach by the business itself. Due to the corpocentrical approach, the concept of cross-business synergy will allow the development of the idea of this research, which is guided by the question: ¿which are the possible alternatives to capture synergies between businesses within an automotive company? This question is made by the possibility to generate greater value in the company among the sales and after-sales businesses, also supported by the practical approaches of consultants who have developed synergy implementation over 10 years, in more than 200 companies. Finally, interviews with the company’s executives are presented, which contribute to the generation of ideas of synergies, as well as an analysis of their perceptions guided by the literature and the authors consulted.Ítem 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.