Design of robust LQR control for DC-DC multilevel boost converter

Bouziane, Hafid A.; Bouiadjra, Rochdi Bachir; Debbat, Mohamed

doi:10.1109/intee.2015.7416728

Cited by 6 publications

(4 citation statements)

References 5 publications

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“…Ref. [31] covers the deduction of the (LQR) and that induction won't be repeated here. In any case, the essential issue is to limit some quadratic cost work This type of controller needs a pre-filter to cancel the offset between the input and the output.…”

Section: Lqr Controllermentioning

confidence: 99%

Model Reference Adaptive Control-Based Genetic Algorithm Design for Heading Ship Motion

Alawad

2020

Acta Polytech

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In this paper, the heading control of a large ship is enhanced with a specific end goal, to check the unwanted impact of the waves on the actuator framework. The Nomoto model is investigated to describe the ship’s guiding progression. First and second order models are considered here. The viability of the models is examined based on the principal properties of the Nomoto model. Different controllers are proposed, these are Proportional Integral Derivative (PID), Linear Quadratic Regulator (LQR) and Model Reference Adaptive Control Genetic optimization Algorithm (MRAC-GA) for a ship heading control. The results show that the MRAC-GA controller provides the best results to satisfy the design requirements. The Matlab/Simulink tool is utilized to demonstrate the proposed arrangement in the control loop.

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Section: Lqr Controllermentioning

confidence: 99%

Model Reference Adaptive Control-Based Genetic Algorithm Design for Heading Ship Motion

Alawad

2020

Acta Polytech

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“…For many control circuits, the presence of a steady-state fault is an additional problem. In the literature, many advanced non-linear and optimal control strategies, such as linear quadratic controller, sliding mode controller (SMC), H-infinity, or feedback linearisation, have been published to achieve a good closed-loop performance of the flyback converter (Bouziane et al, 2015;Mandal and Mishra, 2018;Prasad and Kumar, 2018). Taking into account our previous results, feedback linearisation has been applied to nonisolated converters with good results: the method has been transformed into a framework and the modifications have improved the dynamic behaviour and minimised the steady-state error.…”

Section: Introductionmentioning

confidence: 99%

A Novel Feedback Linearisation Control of Flyback Converter

Csizmadia

Kuczmann

2023

Power Electronics and Drives

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This paper presents a novel approach for feedback linearisation in a continuous conduction mode (CCM) of the flyback converter. Due to the unstable zero dynamics, a flyback converter has highly non-linear behaviour. Flyback converters mostly use the indirect (current) control mechanism. In contrast, this paper shows a direct control of the output voltage of a flyback converter with feedback linearisation (a non-linear control method). In the designed controller, an error integrator is applied to improve the dynamic and steady-state behaviour of the controller. To design the feedback linearisation method, the state-space averaged model is determined. The converter and the proposed control are tested in a MatLab/Simulink environment, and the results are compared with other optimal controller methods. The results provide feedback about the efficiency and practical implementation of the proposed method.

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“…From control aspects, most power converters have non-linear behavior, and unstable internal dynamics [7], which leads to a more complicated control design. Many linear and non-linear control methods such as proportional-integral (PI) controllers [8], linear quadratic controllers (LQR) [9], sliding mode controllers (SMC) [10], H∞ controllers [11], or feedback linearization (FBL) [12] can be applied to achieve a good closed-loop performance of switching converter. The design and implementation of a PI controller are straightforward.…”

Section: Introductionmentioning

confidence: 99%

A Novel Control Scheme Based on Exact Feedback Linearization Achieving Robust Constant Voltage for Boost Converter

2022

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This paper presents a novel form of feedback linearization control (FBL) of boost-type DC/DC converter: to reach highly accurate output voltage control. Integral action has been inserted into the block diagram of the control scheme. The state-space model of the boost converter is highly nonlinear. Accordingly, the design procedure of the controller is more complex. The paper presents the state-space modeling of the boost converter and details the design procedure of the nonlinear FBL controller step by step. The main goal of this paper is to highlight the importance of the error integrator in the FBL control loop. The proposed method has been tested by a numerical example and compared with an existing and validated two-loop controller. Both the dynamical and steady-state behavior of the examined boost converter performed better than the reference system. The steady-state error of the output voltage is almost eliminated, while the dynamical error decreased to 5% in comparison to the two-loop controller.

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Design of robust LQR control for DC-DC multilevel boost converter

Cited by 6 publications

References 5 publications

Model Reference Adaptive Control-Based Genetic Algorithm Design for Heading Ship Motion

Model Reference Adaptive Control-Based Genetic Algorithm Design for Heading Ship Motion

A Novel Feedback Linearisation Control of Flyback Converter

A Novel Control Scheme Based on Exact Feedback Linearization Achieving Robust Constant Voltage for Boost Converter

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