Power Converter Control: A Nonlinear Time-Domain Framework to Optimize Efficiency and Performance

开关变换器是大信号、非线性系统，强调高效的能量处理。该方案将发展先进的非线性大信号数字控制方法，以取代开关电源变换器中的线性小信号模拟控制器。智能优势-数字控制器已经深入渗透到某些电力电子市场，如电机驱动器，其中增量成本相对于所提供的价值较小。该项目的目标是开发新的性能指标，解决模型不确定性，并探索能源优化，以扩大数字非线性技术的应用。新的度量将更直接地与非线性控制理论相关，而不是线性系统理论，并将推动新的控制方法。在功率变换器中，模型的不确定性是很大的，当使用数字控制器时，模型的不确定性由于量化效应而变得复杂。能源优化是电力电子技术的自然产物，先进的数字技术可以快速迫使太阳能电池板达到最大输出功率或电机达到最大效率点。由此产生的一套非线性和数字技术将为广泛的应用提供设计和分析工具。更广泛的影响-该项目的更广泛的影响是提高能源效率和能源处理，让学生在许多层面上参与高级研究，并有机会将开关电源转换带到未来的新方向。所研究的方法对能源效率有深远的影响，可能占全国能源消耗的2.5%。除了研究生研究外，项目团队在本科生研究和大型学生项目方面有着悠久的历史。最近的项目包括约50名本科生团队项目和13名本科生独立研究项目。控制方法为效率、性能和其他因素的功能优化提供了可能性，大大提高了电能处理。

Switching converters are large-signal, nonlinear systems that emphasize efficient energy processing. This proposal will develop advanced nonlinear large-signal digital control methods to supplant linear small-signal analog controllers in switching power converters.Intellectual Merit - Digital controllers have deeply penetrated certain power electronics markets, such as motor drives, where the incremental cost is small relative to the value provided. The objectives of this project are to develop new performance metrics, address model uncertainty, and explore energy optimization to expand the application of digital nonlinear techniques. The new metrics will relate more directly to nonlinear control theory, rather than linear system theory, and will drive new control methods. Model uncertainty can be substantial in power converters and is complicated by quantization effects when digital controllers are used. Energy optimization is a natural outgrowth of power electronics, where advanced digital techniques can be used to quickly force a solar panel to its maximum power output or a motor to its maximum efficiency point. The resulting set of nonlinear and digital techniques will provide design and analysis tools for a broad range of applications.Broader Impact- The broader impacts of this project are improved energy efficiency and energy processing, the involvement of students at many levels in advanced research, and the opportunity to take switching power conversion in new directions for the future. The methods to be studied have profound implications for energy efficiency, potentially 2.5% of national energy consumption. In addition to graduate research, the project team has a strong history of undergraduate research and large student projects. Recent projects have included about fifty undergraduates in team projects and thirteen undergraduates in independent research. The control approaches open the possibilities for functional optimization of efficiency, performance, and other factors that greatly enhance electrical energy processing.