Nonlinear and adaptive control of buck power converters

Fadil, H. El; Giri, F.; Haloua, Mohamed; Ouadi, Hamid

doi:10.1109/cdc.2003.1272244

Cited by 59 publications

(39 citation statements)

References 5 publications

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“…These theoretical results are obtained making judicious use of adequate control theory tools including averaging theory and Lyapunov stability [6] .…”

Section: Introductionmentioning

confidence: 98%

Modeling and control design of a boost converter used with a fuel cell

Moutabir

Abdelmounim

Mohamed

et al. 2014

2014 Second World Conference on Complex Systems (WCCS)

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This paper deals with the synthesis of a cascade of two BOOST converters used with a fuel cell. First, a fuel cell model is presented. Then, a nonlinear model of the whole controlled system is developed and a robust nonlinear controller of currents is synthesized using a backstepping design technique. A formal analysis based on Lyapunov stability and average theory is developed to describe the control currents loops performances. A classical PI controller is used for the voltages loops. The study of the stability of the system will also be discussed. Simulated results are displayed to validate the feasibility and the effectiveness of the proposed strategy.

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“…These theoretical results are obtained making judicious use of adequate control theory tools including averaging theory and Lyapunov stability [6] .…”

Section: Introductionmentioning

confidence: 98%

Modeling and control design of a boost converter used with a fuel cell

Moutabir

Abdelmounim

Mohamed

et al. 2014

2014 Second World Conference on Complex Systems (WCCS)

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“…, (9) where 2 C is an undetermined positive constant, 2 T is the parameter estimation variable of unknown parameter 2…”

Section: Adaptive Controller Designmentioning

confidence: 99%

“…Linear methods, such as passivity-based control and feedback linearization control, maybe decrease the accuracy of the controller, and even cause deterioration of the system [1,2]. Because of its significant advantages, adaptive control has become an important tool for study nonlinear systems with uncertain parameters and unknown disturbances.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of Adaptive Control for a Class of Nonlinear System

Zhou

Liu

2015

MATEC Web of Conferences

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Abstract. This paper investigates adaptive control for a class of nonlinear system with uncertain parameters and unknown disturbances. We propose method of improving performance of the controller via modeling and simulation analysis. The method is achieved under different simulation circumstances. It is shown that the global asymptotical stability of closed-loop system can be guaranteed by nonlinear adaptive robust design. The simulation results demonstrate the effectiveness of the presented method.

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“…In turn the DC output voltage can be fed into DC motors, as for instance in the case of actuators, mechatronic devices and pumps [1][2][3]. Nonlinear control approaches for DC-DC converters connected to DC motors have been presented in [4][5][6][7][8]. In particular global linearization approaches and flatness-based control of such systems have been presented in [9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Control of DC–DC Converter and DC Motor Dynamics Using Differential Flatness Theory

et al. 2016

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The article proposes a method for nonlinear control of the dynamical system that is formed by a DC-DC converter and a DC motor, making use of differential flatness theory. First it is proven that the aforementioned system is differentially flat which means that all its state vector elements and its control inputs can be expressed as differential functions of primary state variables which are defined to be the system's flat outputs. By exploiting the differential flatness properties of the model its transformation to a linearized canonical (Brunovsky) form becomes possible. For the latter description of the system one can design a stabilizing feedback controller. Moreover, estimation of the nonmeasurable state vector elements of the system is achieved by applying a new nonlinear Filtering method which is known as Derivative-free nonlinear Kalman Filter. This filter consists of the Kalman Filter recursion applied on the linearized equivalent model of the system and of an inverse transformation that is based on differential flatness theory and which enables to obtain estimates of the initial nonlinear state-space model. Moreover, to compensate for parametric uncertainties and external perturbations the filter is redesigned as a disturbance observer. By estimating the perturbation inputs that affect the joint model of the DC-DC converter and of the DC motor their compensation becomes possible. The efficiency of the proposed control scheme is further confirmed through simulation experiments.

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Nonlinear and adaptive control of buck power converters

Cited by 59 publications

References 5 publications

Modeling and control design of a boost converter used with a fuel cell

Modeling and control design of a boost converter used with a fuel cell

Modeling and Simulation of Adaptive Control for a Class of Nonlinear System

Control of DC–DC Converter and DC Motor Dynamics Using Differential Flatness Theory

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