1.88kW 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 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.There is related dataset, where also 8-pole Y winding motor is used but of different specification - "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/v7s8-pk56

这个数据集旨在支持作者计划近期提交至《IEEE电力电子汇刊》（IEEE Transactions on Power Electronics）的研究论文。在该论文及数据集中，研究人员采用无传感器矢量控制方法（即磁场定向控制（Field Oriented Control, FOC）与观测器）实现了无刷直流电机（BLDC）的速度与位置估计。其实现方法基于已知的矢量控制技术，额外引入滑模观测器（Sliding Mode Observer, SMO）或磁通观测器以完成速度估计与无传感器转子位置检测。三相逆变器的开关模式通过空间矢量调制实现。

本数据集的独特之处在于作者纳入了以下内容，并可通过附带图表分析得出相关结论：滑模观测器（SMO）与磁通观测器的性能对比；PWM开关频率从20 kHz至2 MHz范围内进行45次变化（有助于确定MOSFET的开关频率，因工业界甚至仍采用20 kHz）；稳定裕度；开环控制性能；传递函数补偿；闭环调谐；未补偿与补偿系统的根轨迹、波特图（幅频与相频特性）、零极点图、单位阶跃响应、奈奎斯特图、尼科尔斯图及脉冲响应；正弦激励；补偿系统为采用SMO/磁通观测器后的系统。

所有上述内容均在32位实时微控制器上实现，未提及的引脚用于通用CAN、USB、RS485等接口。仿真未包含功率因数校正（PFC）模块，假设功率因数（PF）为1。此类无刷电机及控制器广泛应用于医疗等多个行业，例如正压通气呼吸机。本研究对工业实际设计及学术研究均具有实用价值。作者已利用这些结果设计了2-3个不同的复杂模型（尚未完成），可能后续上传。另有相关数据集采用8极Y绕组电机但规格不同，其DOI为https://dx.doi.org/10.21227/v7s8-pk56，数据集名称为“200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer”。