1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer with FW

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, so any textbook can be referred, with the addition of SMO or flux observer which acts as the "Adaptive Controller" in the estimation of speed. 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 graphsperformance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 44 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop TuningTransfer Function CompensationClosed loopField WeakeningRoot 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 SystemCompensated 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.There is related dataset "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666These 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.

本数据集用于支持即将投稿至《IEEE Transactions on Power Electronics》的研究论文。
在本文及本数据集中，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，完成无刷直流电机（BLDC）的转速与位置估算。本研究采用的矢量控制方法为通用成熟方案，可参考相关教科书，仅在转速估算环节加入了滑模观测器（Sliding Mode Observer, SMO）或磁链观测器作为自适应控制器。三相逆变器的开关模式采用空间矢量调制技术实现。

本论文与数据集的特色之处在于作者纳入了以下内容，并可通过附随图表开展分析：基于滑模观测器与磁链观测器的性能对比；开关频率从20 kHz至2 MHz共44次梯度变化实验，该实验结果可用于确定MOSFET的开关频率（工业场景中亦有使用20 kHz的案例；稳定裕度、开环整定、传递函数补偿、闭环控制、弱磁控制、未补偿系统与补偿系统的根轨迹、幅频与相频伯德图、未补偿系统与补偿系统的零极点图、未补偿系统与补偿系统的单位阶跃响应、未补偿系统与补偿系统的奈奎斯特图、未补偿系统与补偿系统的尼科尔斯图、未补偿系统与补偿系统的冲激响应；其中补偿系统指采用滑模观测器/磁链观测器的控制系统。

上述所有内容均在32位实时微控制器上实现。本数据集未提及的引脚用于通用控制器局域网（Controller Area Network, CAN）、通用串行总线（Universal Serial Bus, USB）、RS485等外设。本仿真未包含功率因数校正（Power Factor Correction, PFC）模块，因假设功率因数PF=1。

本研究关联数据集"200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer"，DOI: https://dx.doi.org/10.21227/8rz1-p666。

此类无刷电机与控制器广泛应用于多个工业领域，包括医疗行业，例如持续气道正压通气呼吸器、呼吸机。本研究成果可辅助工业现场设计与学术研究工作。作者已将本研究结果用于2-3种不同的复杂模型设计（尚未完成），相关内容或将于日后上传。