Exact feedback linearisation optimal control for single‐inductor dual‐output boost converter

Wu, Jia-Rong; Lu, Yimin

doi:10.1049/iet-pel.2019.1160

Cited by 9 publications

(4 citation statements)

References 27 publications

(55 reference statements)

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“…To evaluate the superiority of the proposed robust control approach, a CCM SIDO boost converter is simulated on the MATLAB/Simulink environment. Exact feedback linearization optimal (EFLO) control method 5 and common‐mode and differential‐mode (CMDM) control strategy 6 are used as a comparison. The system parameters used for the simulation are shown as V in = 10 V, V aref = 8 V, V bref = 12 V, C a = 470 μF, L = 0.5 mH, C b = 470 μF, R a = 20 Ω, R b = 20 Ω, f s = 30 kHz.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Therefore, multi‐output is an important trend and goal in the development of DC–DC converter systems 4 . Conventional multi‐output methods, such as multi‐winding transformers, suffer from many magnetic components, large sizes, and complex circuits, 5 which affect the reliability of the system. The simplest way to realize multiple outputs is to supply them with separate switching converters, but this poses problems such as high cost and large volume 6,7 .…”

Section: Introductionmentioning

confidence: 99%

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Robust control for non‐minimum phase and cross‐regulation in single‐inductor dual‐output boost converter

Yang,

Zhang,

et al. 2023

Circuit Theory & Apps

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SummarySingle‐inductor dual‐output (SIDO) boost converters are used extensively in modern power systems because of their small circuit volume and high efficiency. However, SIDO boost converters exhibit non‐minimum phase property, and the coupling of the inductor current results in coupled dual outputs leading to cross‐regulation, which seriously affects the dynamic performance and stability of the system. To settle the non‐minimum phase issue and suppress the cross‐regulation of SIDO boost converters, proposed herein is a robust control method, which combines the exact feedback linearization (EFL) theory, adaptive technology, and sliding mode control (SMC) method. A nonlinear mathematical model is established, and a set of output functions for full linearization are constructed based on EFL theory. Furthermore, the output functions are linearized, and two single‐input single‐output linear subsystems are obtained. The SMC technologies are used to control the linear subsystems to improve the robustness of the system, and an adaptive mechanism is adopted to update the sliding mode switching gain to reduce chattering. Furthermore, the global asymptotic stability of the control system is proved based on the Lyapunov theory, and the robustness of the closed‐loop system is verified. Simulation and experimental results show that the proposed approach provides better dynamic regulation performance compared with the existing method.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust control for non‐minimum phase and cross‐regulation in single‐inductor dual‐output boost converter

Yang,

Zhang,

et al. 2023

Circuit Theory & Apps

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“…However, the shared inductor in the SIDO converter introduces complex interbranch coupling, affecting output voltages when one branch's load changes [3] . As a result, optimizing control strategies to enhance dynamic performance and minimize cross-coupling has become a key research focus for scholars [4][5] .…”

Section: Introductionmentioning

confidence: 99%

Active disturbance rejection control of single-inductor dual-output buck

Shi,

Li,

Baoyin

2024

Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023)

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To reduce cross-coupling effects and enhance the dynamic response of the Single-Inductor Dual-Output (SIDO) Buck converter, this paper introduces an active disturbance rejection control method based on a cascade extended state observer. It starts with establishing a small-signal model and deriving the transfer function of the SIDO Buck converter. Then, it designs self-disturbance decoupling controllers and series-connected state observers, followed by multiobjective optimization of controller parameters using the particle swarm algorithm. Finally, the control approach is compared with Proportional-Integral-Derivative (PID) control through simulations on a MATLAB platform. The results demonstrate that the proposed controller effectively minimizes cross-coupling effects between the converter outputs and enhances disturbance rejection and robustness.

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“…Feedback linearization is based on the theory of differential geometry to find an appropriate conversion between the control input and state variables and to convert the nonlinear system into an equivalent linear system. This method has been used for induction motors [17], boost converters [18], an unmanned bicycle robot [19], etc.…”

Section: Introductionmentioning

confidence: 99%

Design of Optimal Controllers for Unknown Dynamic Systems through the Nelder–Mead Simplex Method

Tsai

Fuh

et al. 2021

Mathematics

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This paper presents an efficient method for designing optimal controllers. First, we established a performance index according to the system characteristics. In order to ensure that this performance index is applicable even when the state/output of the system is not within the allowable range, we added a penalty function. When we use a certain controller, if the state/output of the system remains within the allowable range within the preset time interval, the penalty function value is zero. Conversely, if the system state/output is not within the allowable range before the preset termination time, the experiment/simulation is terminated immediately, and the penalty function value is proportional to the time difference between the preset termination time and the time at which the experiment was terminated. Then, we used the Nelder–Mead simplex method to search for the optimal controller parameters. The proposed method has the following advantages: (1) the dynamic equation of the system need not be known; (2) the method can be used regardless of the stability of the open-loop system; (3) this method can be used in nonlinear systems; (4) this method can be used in systems with measurement noise; and (5) the method can improve design efficiency.

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Exact feedback linearisation optimal control for single‐inductor dual‐output boost converter

Cited by 9 publications

References 27 publications

Robust control for non‐minimum phase and cross‐regulation in single‐inductor dual‐output boost converter

Robust control for non‐minimum phase and cross‐regulation in single‐inductor dual‐output boost converter

Active disturbance rejection control of single-inductor dual-output buck

Design of Optimal Controllers for Unknown Dynamic Systems through the Nelder–Mead Simplex Method

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