Sliding motions in bilinear switched networks

Sira‐Ramírez, Hebertt

doi:10.1109/tcs.1987.1086242

Cited by 322 publications

(178 citation statements)

References 3 publications

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“…Moreover note that the true control can only assume values 0 or 1 (switch on or off). In the theory of Variable Structure Systems it is shown [25] that if resulting from 8 assumes only values within the interval [0, 1], then implementing the control law with a switching realization such that the control to the switch 1 is on if is larger than 0.5 and off if it is smaller than 0.5 results in a stable and robust implementation of the control law.…”

Section: Remarkmentioning

confidence: 99%

Control of Energy Storage Systems for Aeronautic Applications

Canciello

Cavallo

Guida

2017

Journal of Control Science and Engineering

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Future aircraft will make more and more use of automated electric power system management onboard. Different solutions are currently being explored, and in particular the use of a supercapacitor as an intelligent energy storage device is addressed in this paper. The main task of the supercapacitor is to protect the electric generator from abrupt power changes resulting from sudden insertion or disconnection of loads or from loads with regenerative power capabilities, like electromagnetic actuators. A controller based on high-gain concepts is designed to drive a DC/DC converter connecting the supercapacitor to the main electric bus. Formal stability proofs are given for the resulting nonlinear system, and strong robustness results from the use of high-gain and variable structure control implementation. Moreover, detailed simulations including switching devices and electrical parasitic elements are provided for different working scenarios, showing the effectiveness of the proposed solution.

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Section: Remarkmentioning

confidence: 99%

Control of Energy Storage Systems for Aeronautic Applications

Canciello

Cavallo

Guida

2017

Journal of Control Science and Engineering

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“…Application of different control methods to power electronics converters has been studied in many papers. For example, feedback linearization (Sanders et al, 1986), sliding mode control (Sira-Ramirez, 1987), PID control (Venkatanarayanan and Saravanan, 2014) and H ∞ design (Rodriguez et al, 2005) has been applied to Cuk converter, Linear Matrix Inequality(LMI) control has been applied to conventional boost by Reddy et al (2015). Discrete time controller has been designed for a boost converter in Alkrunz and Yazıcı (2016).…”

Section: Literature Reviewmentioning

confidence: 99%

Joy of controller design: Controller design based on Kocaeli university’s converter dynamics toolbox for MATLAB

Asadi

2017

Int. j. adv. appl. sci.

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In this paper, first software is developed to extract dynamical model of famous dc-dc converters because at the time of this writing there is no software to obtain the converter's dynamical equation analytically. Using commercial softwares like MATLAB ® , only graphical frequency response of system can be obtained. Software developed here can give both analytic equation and graphical frequency response of system. Based on the dynamical equation given by software problem of controller design for two converters is studied as example. Designed controller is tested via Simulation. Authors used the developed software to train control engineering concepts to electrical engineering students. It is seen that using a power electronics converter as plant, increase electrical engineering students interest to learn control engineering concepts. Beside the educational use, developed software can be used to design controller for industrial converters.

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“…The existence of the sliding mode requires three conditions (Sira-Ramirez, 1987): transversality, reachability and equivalent control. The transversality condition is fulfilled when the control variable u is present in the surface derivate, which guarantees that the system dynamics can be modified.…”

Section: Sliding-mode Current Controller To Ensure Fast Dynamics Stabmentioning

confidence: 99%

Auto-tuning of PV controllers to improve the speed response and stability of the P&O algorithm

Valencia

Ramos‐Paja

2015

ing.inv.

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This paper proposes an auto-tuning control system to ensure a fast response of the photovoltaic (PV) voltage by reducing the perturbation time of a P&O algorithm. This solution accelerates the tracking of the maximum power point and, at the same time, guarantees the system stability, which increases the amount of energy produced by the PV system. The control system consists of three cascaded controllers: a P&O algorithm dynamically parameterized by the adaptive law in order to guarantee stability; an adaptive PI controller whose parameters are modified by the adaptive law, depending on the operating conditions, to reduce the settling time of the system as much as possible; and a sliding mode current controller to mitigate environmental and load perturbations and ensure global stability. The design of the new control structure is supported by mathematical analyses and validated with simulations performed in PSIM in order to demonstrate the robustness of the proposed solution.Keywords: Adaptive control, photovoltaic system, sliding mode, perturb and observe, maximum power point tracking. RESUMENEn este trabajo se propone un sistema de control auto-ajustable para garantizar una respuesta rápida del sistema fotovoltaico (PV) mediante la reducción del tiempo de perturbación del algoritmo P&O. Con esta solución se logra acelerar el seguimiento del punto de máxima potencia y al mismo tiempo garantizar la estabilidad del sistema, incrementando de esta manera la cantidad de energía producida. La ley de control está compuesta por tres controladores en cascada: Un algoritmo P&O parametrizado dinámicamente; un control adaptativo PI, cuyos parámetros son modificados por la ley de adaptación dependiendo de las condiciones de operación para reducir el tiempo de establecimiento tanto como sea posible; y un controlador en modos deslizantes de corriente que mitiga las perturbaciones ambientales y de la carga para garantizar la estabilidad global. El diseño de la nueva estructura de control se soporta con análisis matemáticos y se valida con simulaciones realizadas en PSIM que demuestran la robustez de la solución.Palabras clave: Control adaptativo, sistema fotovoltaico, modo deslizante, perturbar y observar, seguimiento del punto de máxima potencia.

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Sliding motions in bilinear switched networks

Cited by 322 publications

References 3 publications

Control of Energy Storage Systems for Aeronautic Applications

Control of Energy Storage Systems for Aeronautic Applications

Joy of controller design: Controller design based on Kocaeli university’s converter dynamics toolbox for MATLAB

Auto-tuning of PV controllers to improve the speed response and stability of the P&O algorithm

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