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。本数据集名为“1.88kW无刷直流电机（BLDC motor）无传感器磁场定向控制（FOC, Field Oriented Control）——滑模观测器与磁通观测器对比”，DOI为https://dx.doi.org/yrb7-hp33。该数据集原关联的1.88kW无刷直流电机为8极星形绕组结构，在额定功率1.88kW时额定转速为3000rpm。本数据集采用了相同的控制方法，但适配的无刷直流电机为8极星形绕组结构，在额定功率211W时额定转速为14400rpm。
本论文及配套数据集采用无传感器矢量控制方法，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方案，额外引入滑模观测器（SMO, Sliding Mode Observer）或磁通观测器以实现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方案。
本论文及数据集的特色差异内容可结合附带图表开展如下分析：
1. 滑模观测器与磁通观测器的性能对比；
2. 开关频率在20kHz至2MHz范围内进行45次可变测试，可用于确定MOSFET的最优开关频率（工业场景中亦有采用20kHz的案例）；
3. 稳定性裕度分析；
4. 开环控制性能分析；
5. 传递函数补偿分析；
6. 闭环参数整定分析；
7. 未补偿系统与补偿后系统的根轨迹图；
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曲线；
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曲线；
14. 正弦激励响应测试。
其中补偿后系统为采用滑模观测器或磁通观测器后的系统。
所有实验均基于32位实时微控制器完成，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（PFC）模块，假设功率因数PF=1。
此类无刷直流电机及控制器可应用于众多工业领域，例如医疗行业中的持续气道正压通气呼吸机、通气设备等。本研究可为工业实际设计与学术研究提供参考。作者已将本次研究结果用于2-3个尚未完成的复杂新模型设计，后续或可上传相关内容。