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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2018-02-01
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Springer-Verlag France
Resumen
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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Combustion, Combustion equipment, Computer control systems, Embedded systems, Engines, Ignition, Ignition systems, Internal combustion engines, Model predictive control, Optimization, Predictive control systems, Problem solving, Quadratic programming, Real time control, Real time systems, Automotive, Design and implementations, Hard-ware-in-the-loop, Nonlinear model predictive control, Optimal controls, Quadratic optimization problems, Sequential quadratic programming, Simulation, Controllers