200W BLDC Sensorless FOC with Adaptive Sliding Mode Observer

This dataset is in support of my planned research paper shortly to be submitted to IEEE Transactions on Power Electronics.In the dataset 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer, DOI: https://dx.doi.org/yrb7-hp33 , BLDC motor is 8-pole, Star winding with rated rpm of 3 000 rpm at rated power of 1.88 kW.In this dataset, the same methodology is used but the BLDC motor is 8-pole ,Star winding with rated rpm of 14 400 rpm at rated power of 211 W.In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, with the addition of SMO or flux observer which gives the estimation of speed and the sensorless rotor position. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has included following , with analysis which can be drawn from seeing attached graphs -performance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 45 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemSinusoidal ExcitationCompensated System is after using SMO/Flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.

本数据集用于支撑即将投稿至《IEEE电力电子汇刊》（IEEE Transactions on Power Electronics）的研究论文。该数据集对应的研究主题为1.88kW无刷直流（BLDC, Brushless DC）电机无传感器磁场定向控制（FOC, Field Oriented Control）——滑模观测器与磁链观测器对比，DOI链接为https://dx.doi.org/yrb7-hp33。本数据集的第一组测试对象为8极星型绕组无刷直流电机，额定功率1.88kW，额定转速3000rpm。本数据集采用相同的控制方法，但对应另一台8极星型绕组无刷直流电机，其额定功率为211W，额定转速14400rpm。本论文及配套数据集采用无传感器矢量控制方案，即磁场定向控制结合观测器，实现无刷直流电机的转速与转子位置估计。具体实现采用成熟的矢量控制框架，额外引入滑模观测器（SMO, Sliding Mode Observer）或磁链观测器以完成转速与无传感器转子位置的估计。三相逆变器的开关调制采用空间矢量调制技术。本论文与数据集的核心特色在于作者纳入了以下多维度分析内容，相关结论可通过附带的图表进行验证：1. 滑模观测器与磁链观测器的性能对比；2. 开关频率在20kHz至2MHz范围内进行45次调整的实验数据，可用于辅助确定MOSFET的开关频率（工业场景中亦有使用20kHz的案例）；3. 稳定裕度分析；4. 开环控制性能评估；5. 传递函数补偿；6. 闭环调谐；7. 未补偿系统与补偿后系统的根轨迹；8. 幅频与相频波特图（Bode Plot）；9. 未补偿系统与补偿后系统的零极点分布图；10. 未补偿系统与补偿后系统的单位阶跃响应；11. 未补偿系统与补偿后系统的奈奎斯特图（Nyquist Plot）；12. 未补偿系统与补偿后系统的尼科尔斯图（Nichols Chart）；13. 未补偿系统与补偿后系统的冲激响应；14. 正弦激励响应。其中补偿后系统为引入滑模观测器或磁链观测器后的闭环系统。所有实验均基于32位实时微控制器完成，未在此处说明的引脚用于通用控制器局域网（CAN）、通用串行总线（USB）、RS485等外设接口。本仿真未包含功率因数校正（PFC）模块，因预设功率因数PF=1。此类无刷直流电机及控制器广泛应用于多个工业领域，例如医疗领域的持续气道正压通气呼吸器、呼吸机等设备。本研究可为工业实际设计与学术研究提供重要参考。作者已将本次研究结果用于2-3个新型复杂模型的设计（尚未完成，后续可能上传公开）。