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| 1 | PI controller relay auto-tuning using delay and phase margin in PMSM drives显示文摘This paper presents an auto-tuning method for a proportion plus integral(PI) controller for permanent magnet synchronous motor(PMSM) drives, which is supposed to be embedded in electro-mechanical actuator(EMA) control module in aircraft. The method, based on a relay feedback with variable delay time, explores different critical points of the system frequency response.The Nyquist points of the plant can then be derived from the delay time and filter time constant.The coefficients of the PI controller can then be obtained by calculation while shifting the Nyquist point to a specific position to obtain the required phase margin. The major advantage of the autotuning method is that it can provide a series of tuning results for different system bandwidths and damping ratios, corresponding to the specification for delay time and phase margin. Simulation and experimental results for the PMSM controller verify the performance of both the current loop and the speed loop auto-tuning. | Wang Lina Xiao Kun Liliana de Lillo Lee Empringham Pat Wheeler | 2014 | Chinese Journal of Aeronautics2014，27，6： | 4 |
| 2 | Budd–Chiari Syndrome Revisited: 38?Years’ Experience with Surgical Portal Decompression显示文摘 | Marshall J. Orloff Jon I. Isenberg Henry O. Wheeler Pat O. Daily Barbara Girard | 2012 | Journal of Gastrointestinal Surgery2012，，2： | 1 |
| 3 | Surrogate role of machine learning in motor-drive optimization for more-electric aircraft applications显示文摘Motor drives form an essential part of the electric compressors,pumps,braking and actuation systems in the More-Electric Aircraft(MEA).In this paper,the application of Machine Learning(ML)in motor-drive design and optimization process is investigated.The general idea of using ML is to train surrogate models for the optimization.This training process is based on sample data collected from detailed simulation or experiment of motor drives.However,the Surrogate Role(SR)of ML may vary for different applications.This paper first introduces the principles of ML and then proposes two SRs(direct mapping approach and correction approach)of the ML in a motor-drive optimization process.Two different cases are given for the method comparison and validation of ML SRs.The first case is using the sample data from experiments to train the ML surrogate models.For the second case,the joint-simulation data is utilized for a multi-objective motor-drive optimization problem.It is found that both surrogate roles of ML can provide a good mapping model for the cases and in the second case,three feasible design schemes of ML are proposed and validated for the two SRs.Regarding the time consumption in optimizaiton,the proposed ML models can give one motor-drive design point up to 0.044 s while it takes more than 1.5 mins for the used simulation-based models. | Yuan GAO Benjamin CHEONG Serhiy BOZHKO Pat WHEELER Chris GERADA Tao YANG | 2023 | Chinese Journal of Aeronautics2023，36，2： | 0 |
| 4 | 基于控制的多电飞机直流微电网稳定化显示文摘面对日益严峻的环境污染,飞机机载子系统的电气化过程已不可避免,相应的多电飞机(More electric aircraft,MEA)的概念也因此被提出。随着机载电力电子设备数量的增加,飞机上的配电系统可以被视作一个机载微电网。由于电力电子变换器工作时呈现恒功率负载(Constant power load,CPL)特性并降低系统稳定性,在设计系统时需要精确预测并增强系统的稳定性。文中首先分析了包含CPL的机载直流微电网的稳定性,然后探讨了不稳定现象背后的原因,并提出了对应的控制策略来增强系统稳定性,最后通过一系列的仿真结果来验证稳定性分析的准确性以及所提控制策略的效果。 | 杨佳俊 BUTICCHI Giampaolo 顾春阳 WHEELER Pat 张何 GERADA Chris | 2021 | Transactions of Nanjing University of Aeronautics and Astronautics2021，38，5： | 0 |
| 5 | 双向IGBT开关在矩阵变换器中的应用显示文摘双向IGBT模块是实现高频矩阵变换器极为有效的方法。略不同于硬开关PWM变换器,矩阵变换器中的开关和传导损耗取决于所选的调制策略。本文介绍了一种由诺丁汉大学推导的平均损耗的计算公式。测试一个使用1200V,200A的双向模块实现的三相到单相的构造,得到的波形说明了矩阵变换器的实际操作以及可能会出现的输出电流纹波。 | Dinesh Chamund Bill Findlay Kevan Birkett Dynex Semiconductor Pat Wheeler Jon Clare Michael Bland | 2005 | 电力电子2005，3，3： | 0 |
| 6 | Neural Network aided PMSM multi-objective design and optimization for more-electric aircraft applications显示文摘This study uses the Neural Network(NN)technique to optimize design of surfacemounted Permanent Magnet Synchronous Motors(PMSMs)for More-Electric Aircraft(MEA)applications.The key role of NN is to provide dedicated correction factors for the analytical PMSM mass and loss estimation within the entire design space.Based on that,a globally optimal design can be quickly obtained.Matching the analytical estimation with Finite-Element Analysis(FEA)is the main research target of training the NN.Conventional analytical formulae serve as the basis of this study,but they are prone to loss accuracy(especially for a large design space)due to their assumptions and simplifications.With the help of the trained NNs,the analytical motor model can give an estimation as accurate as the FEA but with super less time during the optimization process.The Average Correction Factor(ACF)approach is regarded as the comparison method to demonstrate the excellent performance of the proposed NN model.Furthermore,a NN aided three-stage-sevenstep optimization methodology is proposed.Finally,a Pole-10-Slot-12 PMSM case study is given to demonstrate the feasibility and gain of the NN aided multi-objective optimization approach.In this case,the NN aided analytical model can generate one motor design in 0.04 s while it takes more than 1 min for the used FEA model. | Yuan GAO Tao YANG Serhiy BOZHKO Pat WHEELER Tomislav DRAGICEVIC Chris GERADA | 2022 | Chinese Journal of Aeronautics2022，35，10： | 0 |
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