A Model Predictive Control Scheme Without Current Sensor of Dual Active Bridge DC–DC Converters: Improving Dynamic Performance and Reducing Hardware Cost

Deng, Yaru; Song, Wensheng; Yin, Shuai; Zhong, Ming; Yang, Kexin; Feng, Xiaoyun

doi:10.1109/tte.2022.3229076

Cited by 2 publications

(1 citation statement)

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“…In order to decrease the effect of component parasitic parameters, the authors in [ 37 ] proposed a self-correction differential current observer approach. A sensorless model predictive control scheme is proposed in [ 38 ] to improve the dynamic performances of dual bridge DC-DC converters. Generally, improving the controller performances can be achieved by providing less conservative conditions, either in the presence of disturbances and time delay or during the transient response of the voltage/current control.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Sensorless Control Approach for Markovian Switching Systems Applied to PWM DC–DC Converters with Time-Delay and Partial Input Saturation

Zahaf

Bououden

Chadli

et al. 2023

Sensors

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This paper provides a detailed analysis of the output voltage/current tracking control of a PWM DCDC converter that has been modeled as a Markov jump system. In order to achieve that, a dynamic sensorless strategy is proposed to perform active disturbance rejection control. As a convex optimization problem, a novel reformulation of the problem is provided to compute optimal control. Accordingly, necessary less conservative conditions are established via Linear Matrix Inequalities. First, a sensorless active disturbance rejection design is proposed. Then, to carry out the control process, a robust dynamic observer–predictive controller approach is introduced. Meanwhile, the PWM DC-DC switching power converters are examined as discrete-time Markovian switching systems. Considering that the system is subject to modeling uncertainties, time delays, and load variations as external disturbances, and by taking partial input saturation into account, the Lyapunov–Krasovskii function is used to construct the required feasibility frame and less conservative stability conditions. As a result, the proposed design provides an efficient control strategy with disturbance rejection and time-delay compensation capabilities and maintains robust performance with respect to constraints. Finally, a PWM DC-DC power converter simulation study is performed in different scenarios, and the obtained results are illustrated in detail to demonstrate the effectiveness of the proposed approach.

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Section: Introductionmentioning

confidence: 99%

Dynamic Sensorless Control Approach for Markovian Switching Systems Applied to PWM DC–DC Converters with Time-Delay and Partial Input Saturation

Zahaf

Bououden

Chadli

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

Review on Advanced Model Predictive Control Technologies for High-Power Converters and Industrial Drives

Yu,

Long

2024

Electronics

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Model predictive control (MPC) has emerged as a very popular control technology. This paper presents and discusses the major applications and recent research advances of MPC in the field of high-power converters and industrial drives. The classic concepts and implementation principles of MPC for power electronic control are reviewed, followed by the classification and application schemes of MPC in electrical drive systems. This paper discusses typical MPC techniques. Based on the results of extensive discussions on the latest research, this paper analyzes some key application issues of MPC in industrial control solutions, including the optimization and elimination of weighting factors, improvement of steady-state performance, and robustness improvement. It also covers research trends in advanced MPC. By reviewing advanced MPC solutions, this paper contributes to enhancing the performance in applications of high-power converters and industrial drives, and providing multiple perspectives to improve control performance of MPC. The presented content aims to provide readers with a precise overview and facilitate their future research in this attractive area.

show abstract

A Model Predictive Control Scheme Without Current Sensor of Dual Active Bridge DC–DC Converters: Improving Dynamic Performance and Reducing Hardware Cost

Cited by 2 publications

References 42 publications

Dynamic Sensorless Control Approach for Markovian Switching Systems Applied to PWM DC–DC Converters with Time-Delay and Partial Input Saturation

Dynamic Sensorless Control Approach for Markovian Switching Systems Applied to PWM DC–DC Converters with Time-Delay and Partial Input Saturation

Review on Advanced Model Predictive Control Technologies for High-Power Converters and Industrial Drives

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