...
首页> 外文期刊>The Journal of Engineering >Hybrid iterative learning control strategy for single-phase UPS inverter using inductor current active damping
【24h】

Hybrid iterative learning control strategy for single-phase UPS inverter using inductor current active damping

机译:基于电感电流有源阻尼的单相UPS逆变器混合迭代学习控制策略

获取原文
           

摘要

This study proposes a hybrid iterative learning (HIL) control scheme for single-phase uninterruptible power supply (UPS) inverters using inductor current active damping technique. A UPS inverter maintains a tightly regulated output voltage independent of loading conditions and disturbances. To achieve such performance, a fast transient recovery time with a minimum steady-state error is desired. Fast control techniques, such as proportional integral (PI), are not always known for good steady-state performance in single-phase applications. As the load voltage and current are periodic, therefore a hybrid control strategy has been proposed in which a PI controller is combined with an iterative learning controller to produce better transient and steady-state dynamics. Adoption of such a strategy enables the UPS inverter control to be realised with one voltage and one current sensor, respectively. System modelling, filter magnitude-frequency characteristics shaping and control design with stability analysis have been presented in this study. The designed HIL control strategy is examined through simulations in a MATLAB environment in the discrete time frame and experimentally verified for a single-phase UPS inverter system prototype using a Texas TMS320F2812 digital signal processor.
机译:这项研究提出了一种使用电感器电流有源阻尼技术的单相不间断电源(UPS)逆变器的混合迭代学习(HIL)控制方案。 UPS逆变器可保持严格调节的输出电压,而不受负载条件和干扰的影响。为了获得这样的性能,需要具有最小稳态误差的快速瞬态恢复时间。在单相应用中,快速控制技术(例如比例积分(PI))并不总是以良好的稳态性能而著称。由于负载电压和电流是周期性的,因此提出了一种混合控制策略,其中将PI控制器与迭代学习控制器结合使用,以产生更好的瞬态和稳态动态特性。通过采用这种策略,UPS逆变器控制可以分别通过一个电压和一个电流传感器来实现。本研究提出了系统建模,滤波器幅频特性整形和具有稳定性分析的控制设计。通过在离散时间范围内在MATLAB环境中进行仿真来检查设计的HIL控制策略,并使用德州TMS320F2812数字信号处理器对单相UPS逆变器系统原型进行实验验证。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号