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Automated system identification and controller tuning for digitally controlled dc-dc converters

机译:数控DC-DC转换器的自动系统识别和控制器调整

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摘要

Digital controllers are often used in interleaved multi-phase dc-dc converters. System identification is desirable for precise frequency-domain characterisations and subsequent stability assessment and/or controller design. The digital nature of the feedback signal facilitates the communication between the converter and a processing unit, which is used here to estimate the system parameters by means of system identification in situ. The phase loss, zero-order-hold effect and asynchronised sampling of the digital controller are discussed. Design limitations and desired dynamic behaviours complicate the controller design process and necessitate automated tuning of the controller. Therefore a computer-generated auto-tuning framework is set forth that provides the required controller coefficients to meet desired time and frequency performance criteria. This is an offline optimisation-based process that minimises a cost function formulated using appropriate error terms. The identification results for single- and multi-phase dc-dc converters closely match those obtained from conventional network analysers. Also, the auto-tuning performance is verified in time and frequency domains using hardware measurements and numerical simulations.
机译:数字控制器通常用于交错式多相DC-DC转换器中。系统识别对于精确的频域表征以及随后的稳定性评估和/或控制器设计是理想的。反馈信号的数字性质促进了转换器与处理单元之间的通信,在这里,该处理单元用于通过现场系统识别来估计系统参数。讨论了数字控制器的缺相,零阶保持效应和异步采样。设计局限性和所需的动态行为使控制器的设计过程复杂化,并且需要对控制器进行自动调整。因此,提出了一种计算机生成的自动调谐框架,其提供了所需的控制器系数以满足所需的时间和频率性能标准。这是一个基于离线优化的过程,可最大程度地减少使用适当的误差项制定的成本函数。单相和多相dc-dc转换器的识别结果与从常规网络分析仪获得的结果非常匹配。此外,使用硬件测量和数值模拟可以在时域和频域中验证自动调谐性能。

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