200W BLDC Sensorless FOC - Sliding Mode vs Flux 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提交至"IEEE Transactions on Power Electronics"的研究论文。在本数据集"1.88kW无刷直流电机无传感器磁场定向控制——滑模观测器与磁链观测器对比"（DOI: https://dx.doi.org/yrb7-hp33）中，所采用的无刷直流电机（Brushless DC Motor, BLDC）为8极星形绕组，额定功率1.88 kW，额定转速3000 rpm。本数据集的研究方法与之一致，但所采用的无刷直流电机为8极星形绕组，额定功率211 W，额定转速14400 rpm。
在本论文与数据集内，无刷直流电机的转速与转子位置估计采用无传感器矢量控制方法，即磁场定向控制（Field Oriented Control, FOC）结合观测器实现。本研究采用成熟的矢量控制实现方案，额外引入滑模观测器（Sliding Mode Observer, SMO）或磁链观测器以实现转速与无传感器转子位置估计。三相逆变器的开关模式通过空间矢量调制实现。
本论文与数据集的差异之处在于，作者纳入了以下内容，并可通过附带图表开展分析：
1. 滑模观测器与磁链观测器的性能对比；
2. PWM开关频率在20 kHz至2 MHz范围内共设置45组变量，可用于辅助确定MOSFET的开关频率（工业场景中亦有采用20 kHz的案例）；
3. 稳定裕度；
4. 开环控制性能；
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. 幅频与相频伯德图（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. 正弦激励测试。
其中补偿后系统指采用滑模观测器或磁链观测器后的系统。
所有实验均基于32位实时微控制器完成。本数据集未提及的引脚用于通用CAN、USB、RS485等外设接口。本仿真未包含功率因数校正（Power Factor Correction, PFC）模块，假定功率因数PF=1。
此类无刷直流电机及其控制器已广泛应用于多个行业，其中医疗领域包括持续气道正压通气呼吸器、呼吸机等场景。本研究可为工业界实际设计与学术研究提供参考。作者已将本研究结果用于2~3套尚未完成的复杂新型模型的设计，相关内容后续可能公开上传。