具有未建模动态及输入约束的单相全桥逆变器动态面事件触发控制
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作者单位:

江苏扬州大学

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中图分类号:

TP273

基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目)


Dynamic surface event-triggered control for single-phase full-bridge inverter with unmodeled dynamics and input constraint
Author:
Affiliation:

Yangzhou University

Fund Project:

The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)

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    摘要:

    全桥逆变器是一类典型的开关型非线性系统, 系统中存在很多非线性和不确定因素, 易导致系统性能下降, 甚至造成不稳定. 对具有未建模动态和时变输出约束的单相全桥逆变器系统, 利用动态信号处理未建模动态, 设计辅助动态系统补偿控制信号, 提出了一种事件触发的自适应动态面跟踪控制策略. 引入跟踪误差变换, 解决输出约束问题. 对控制输入进行约束, 使用模糊系统调节参数向量的欧氏范数作为自适应参数, 设计了事件触发控制, 这些技术的采用有效地降低了控制器计算量, 保证了实际系统的可实现性. 完善了具有输入约束条件下动态面控制方法的稳定性分析和证明. 逆变器精确模型无需已知, 实际控制系统具有较好的稳定性和鲁棒性. 理论分析表明闭环系统的所有信号半全局一致终结有界, 通过仿真实验, 该方案的有效性得到进一步验证.

    Abstract:

    Full bridge inverter is a kind of typical switched nonlinear system. There are many nonlinear and uncertain factors in the system, which easily lead to the performance of the system to be bad or make the system unstable. An event-triggered adaptive dynamic surface control scheme is proposed for single-phase full-bridge inverter system with unmodeled dynamics and time-varying output constraint. Dynamic signal is utilized to handle unmodeled dynamics, and the auxiliary dynamic system is designed to compensate the control signal. The tracking error transformation is introduced to solve the problem of output constraint. The control input is constrained, and the Euclidean norm of the fuzzy system adjusting parameter vector is used as the adaptive parameter, and the event triggered control is designed. These techniques effectively reduce the calculation of the controller and ensure the realizability of the actual system. The stability analysis and proof of the dynamic surface control method with input constraints are improved. The exact model of the inverter does not need to be known, and the actual control system has good stability and robustness. The analysis shows that all signals of the closed-loop system are semi-globally uniformly ultimately bounded, and the effectiveness of the proposed approach is verified through the simulation results.

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  • 收稿日期:2021-03-19
  • 最后修改日期:2021-08-04
  • 录用日期:2021-07-19
  • 在线发布日期: 2021-08-09
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