Current Sharing Control for Parallel DC–DC Buck Converters Based on Finite-Time Control Technique

2019 ◽  
Vol 15 (4) ◽  
pp. 2186-2198 ◽  
Author(s):  
Haibo Du ◽  
Congrang Jiang ◽  
Guanghui Wen ◽  
Wenwu Zhu ◽  
Yingying Cheng
2015 ◽  
Vol 17 (6) ◽  
pp. 2218-2228 ◽  
Author(s):  
Yuexia Jiang ◽  
Shihong Ding ◽  
Dean Zhao ◽  
Wei Ji

2013 ◽  
Vol 278-280 ◽  
pp. 1609-1614
Author(s):  
Jian Ru Liang ◽  
Yong Kang ◽  
Hong Tao Shan

To share the loads and restrain circumfluence among parallel inverters in Stand- alone photovoltaic system (PV), it is described that a digital current sharing control technique for inverter parallel operation in detail in this paper. After the analysis of circumfluence of paralleled system on distributed-logical-control, characteristic of the power regulation, a novel digital power detection technique is deduced. With measuring and analyzing the instantaneous average current of all inverters and the output current of each inverter, both of the current components are used to control and regulate the amplitude and the phase of the output voltage. The proposed control technique on current sharing in the inverter paralleling system has been verified the good characteristic of restraining circumfluence by the results of the experiment.


Author(s):  
Mohammad Pourmahmood Aghababa ◽  
Hasan Pourmahmood Aghababa

Due to its useful applications in real world processes, synchronization of chaotic systems has attracted the attention of many researchers of mathematics, physics and engineering sciences. In practical situations, many chaotic systems are inevitably disturbed by model uncertainties and external disturbances. Furthermore, in practice, it is hard to determine the precise values of the chaotic systems’ parameters in advance. Besides, from a practical point of view, it is more desirable to achieve synchronization in a given finite time. In this paper, we investigate the problem of finite-time chaos synchronization between two different chaotic systems in the presence of model uncertainties, external disturbances and unknown parameters. Both autonomous and non-autonomous chaotic systems are taken into account. To tackle the unknown parameters, appropriate adaptation laws are proposed. Using the adaptation laws and finite-time control technique, an adaptive robust finite-time controller is designed to guarantee that the state trajectories slave system converge to the state trajectories of the master system in a given finite time. Some numerical simulations are presented to verify the robustness and usefulness of the proposed finite-time control technique.


2019 ◽  
Vol 2019 ◽  
pp. 1-5 ◽  
Author(s):  
Chun Duan ◽  
Di Wu

For the DC-DC Boost converter system, this paper employs the finite-time control technique to design a new nonlinear fast voltage regulation control algorithm. Compared with the existing algorithm, the main advantage of the proposed algorithm lies in the fact that it can offer a fast convergent rate, i.e., finite-time convergence. Based on the average state space model of Boost converter system and finite-time control theory, rigorous stability analysis showed that the output voltage converges to the reference voltage in a finite time. Simulation results demonstrate the efficiency of the proposed method. Compared with PI control algorithm, it is shown that the proposed algorithm has a faster regulation performance and stronger robust performance on load-variation.


Author(s):  
Jiabo Ren ◽  
Baofang Wang ◽  
Mingjie Cai

This paper studies the problem of finite-time consensus (FTC) for uncertain multiple mechanical systems with unknown backlash nonlinearity and external disturbance. Combining finite-time control technique and graph theory, a distributed adaptive FTC protocol is proposed. Radial basis function neural networks are employed to approximate the unknown functions. If the designed parameters of control algorithms and adaptive laws are appropriately chosen, then it can be proved that the position errors between arbitrary two mechanical systems will converge to a small region of zero in finite time as well as the velocity errors. Finally, the effectiveness of the proposed control scheme is verified by numerical simulation.


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