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        Adaptive Consensus of Nonlinear MASs with Event-triggered Updating Algorithm

        Jiale Yi,Jing Li,Zhaohui Zhang,Xiaobo Li 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.2

        This paper investigates the consensus problem for a class of nonlinear leader-follower multi-agent systems with event-triggered updating algorithm. Unlike the most existing event-triggered control protocols, the controllers and parameter update laws are event-triggered and transmitted simultaneously by a composite eventtriggered condition. An exponential term of consensus errors is constructed novelly in the event-triggered condition to exclude Zeno behavior and decrease the number of events. Moreover, the stability of the closed-loop system is proved by using the Lyapunov stability theory. At the same time, all the signals in the closed-loop systems are globally bounded and the consensus errors converge to a small neighborhood of origin exponentially under the proposed control schemes. Finally, numerical simulation results illustrate the effectiveness of the proposed control schemes.

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        High-voltage DC–DC converter based on adaptive frequency conversion modulation

        Lixia Zheng,Yi Zhu,Jie Ren,Changyuan Chang,Jialing Ye 전력전자학회 2024 JOURNAL OF POWER ELECTRONICS Vol.24 No.3

        With the development of electric vehicles, the demand for the high-voltage low-current DC-DC chips used in vehicle on-board equipment continues to grow. To improve the effi ciency of the switching power supply, an asynchronous buck high-voltage DC-DC converter with adaptive variable frequency modulation (AVFM) technology is designed in this paper. This work focuses on the efficiency optimization of the buck converter, and the relationship between power consumption and operating frequency under different loads. The optimal frequency range is selected during light and heavy loads, and adaptive transition of the frequency is realized during a medium load. Using a threshold voltage ( V th_cs ) circuit with an adjustable current inside the chip, the on-time of the switch is changed to realize frequency conversion. The whole chip design is based on 0.35 μm BCD process, in which the integrated LDMOS can withstand 200 V. System simulations are completed in Cadence. The results show that when the input voltage is 30–60 V and the output specifi cation is 5 V/0.5 A, the system realizes adaptive frequency conversion in the entire load range, and the efficiency reaches 88.9%. The actual performance of the chip meets the design requirements and has good EMI characteristics.

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