Linearized sensorless adaptive voltage positioning controller for DC-DC boost power converter

Huang, Wangxin; Qahouq, Jaber A. Abu; Ahmed, Shehab

doi:10.1109/ecce.2012.6342801

Cited by 5 publications

(4 citation statements)

References 16 publications

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“…E.g. 0.67 A [6], 0.2 A [7], 0.05 A [8] to mention few references. These mentioned reasons motivated author to undertake this study for the boost converter and develop a nonlinear deadbeat controller that is superior in both command tracking and disturbance rejection transient response and higher load current capability.…”

Section: Motivationsmentioning

confidence: 99%

Proposal of nonlinear deadbeat control for boost converter and the experimental verification

Mushi¹

2022

Preprint

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This thesis discusses the proposal of nonlinear deadbeat control for continuous conduction mode (CCM) boost converter and the experimental verification. First, the nonlinear state equation is derived, and second a nonlinear current reference deadbeat control is proposed. Third, a new nonlinear controller to implement the load disturbance compensation is proposed. Then the simulations using PSIM software and verifications by experiments, it is confirmed that under the conditions of an input voltage 12 V, an output voltage of 20 V, a load resistance of 4 Ω and a sampling frequency of 100 kHz, the voltage command tracking capability of a settling time of 280 µs is achieved, and an output voltage recovery time of 1.46 ms is achieved for a sudden unknown load change. Mathematical analysis is performed to confirm asymptotic stability and robustness of the control method during voltage and current perturbation, disturbance occurrence and parameter variations. It is found that the voltage and current errors eigen values converge towards inside of the unit circle thus maintaining asymptotic stability for each perturbation case investigated. Methods to design the controller parameters are stipulated to be within the physical realization and can be applied to boost converter of any application in CCM. The proposed control method is compared with other literature that applied different digital control methods to boost converters of various applications. It is found that nonlinear deadbeat control proposed in this thesis is about twice as fast for reference tracking response, and can reject disturbances quickly for a load current three times bigger than other literature. Therefore, it is concluded that these data are the best even though the proposed control is based on nonlinear equations. Few differences are observed between experiments and simulations. Further investigations reveal the cause to be time delay in the switching device and other unmodeled nonlinear switching device phenomena. Future work will focus on improving the control method to compensate for nonlinearities. I expressly thank Prof. Atsuo Kawamura for teaching and guiding me how to think strategically about research, how to present research ideas and findings, and for providing excellent opportunities to help me grow scientifically.I thank all my Ph.D. committee Professors at YNU for being kind and patient to examine this thesis, listen to the defense and grant me the opportunity to earn the Ph.D. degree.I thank all Kawamura lab members, past and present for being very kind to me and assisted in my scientific endeavors.I express deep gratitude to my family, for standing there for me, whenever I had to pull those long nights and long weekends, days, or months never at home, while undertaking this study.

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Section: Motivationsmentioning

confidence: 99%

Proposal of nonlinear deadbeat control for boost converter and the experimental verification

Mushi¹

2022

Preprint

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“…The damping ratio ( ) in open loop, determined by (20), is approximately 0.3 and is defined as a function of the settling time ( ) at 2% and the natural frequency of the system. The value of can be found from the step response of the open loop system:…”

Section: Buck Convertermentioning

confidence: 99%

“…In order to improve system performance in relation to the response time without causing overshoots, which could damage the load or circuit elements, and to obtain a steadystate null error, adaptive and nonlinear controllers have being used. The Feedback Linearization, Adaptive Control, Gain Scheduling, Sliding Mode control, and State Dependent Riccati Equation (SDRE), can be highlighted each with its own characteristics regarding their application or parameters such as stability, robustness, and computational cost [13][14][15][16][17][18][19][20][21][22][23][24]. Another possibility of enhancing the system performance is the integration of two or more controllers.…”

Section: Introductionmentioning

confidence: 99%

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A Hyperbolic Tangent Adaptive PID + LQR Control Applied to a Step-Down Converter Using Poles Placement Design Implemented in FPGA

Pedroso

Nascimento

Tusset

et al. 2013

Mathematical Problems in Engineering

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This work presents an adaptive control that integrates two linear control strategies applied to a step-down converter: Proportional Integral Derivative (PID) and Linear Quadratic Regulator (LQR) controls. Considering the converter open loop transfer function and using the poles placement technique, the designs of the two controllers are set so that the operating point of the closed loop system presents the same natural frequency. With poles placement design, the overshoot problems of the LQR controller are avoided. To achieve the best performance of each controller, a hyperbolic tangent weight function is applied. The limits of the hyperbolic tangent function are defined based on the system error range. Simulation results using the Altera DSP Builder software in a MATLAB/SIMULINK environment of the proposed control schemes are presented.

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Sliding mode voltage control strategy for capturing maximum wind energy based on fuzzy logic control

Yin

Lin

et al. 2015

International Journal of Electrical Power & Energy Systems

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Linearized sensorless adaptive voltage positioning controller for DC-DC boost power converter

Cited by 5 publications

References 16 publications

Proposal of nonlinear deadbeat control for boost converter and the experimental verification

Proposal of nonlinear deadbeat control for boost converter and the experimental verification

A Hyperbolic Tangent Adaptive PID + LQR Control Applied to a Step-Down Converter Using Poles Placement Design Implemented in FPGA

Sliding mode voltage control strategy for capturing maximum wind energy based on fuzzy logic control

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