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 includedperformance 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.

本数据集用于支撑即将投稿至《IEEE Transactions on Power Electronics》（IEEE电力电子汇刊）的研究论文。在本论文及配套数据集中，将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（Brushless DC, BLDC）的转速与位置估算。所采用的矢量控制实现方法为通用经典方法，可参考任意相关教材，仅在转速估算环节新增了滑模观测器（Sliding Mode Observer, SMO）或磁链观测器作为“自适应控制器”。三相逆变器的开关调制模式采用空间矢量调制（Space Vector Modulation）实现。

本数据集与论文的特色之处在于：作者纳入了基于滑模观测器与磁链观测器的性能对比实验；将脉冲宽度调制（Pulse Width Modulation, PWM）开关频率从20 kHz至2 MHz共调整44次，该数据可用于辅助确定MOSFET的最优开关频率（工业场景中亦常采用20 kHz频段）。本数据集涵盖以下系统分析内容：稳定性裕度、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（Bode Plot）、零极点分布图、单位阶跃响应、奈奎斯特图（Nyquist Plot）、尼科尔斯图（Nichols Chart）以及冲激响应；其中补偿系统为搭载滑模观测器或磁链观测器后的系统。

所有实验与仿真均基于32位实时微控制器完成，未在此处说明的引脚将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等其他外设接口。本仿真未纳入功率因数校正（Power Factor Correction, PFC）模块，因假设系统功率因数PF=1。

本研究配套有相关数据集《200W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/10.21227/8rz1-p666。此类无刷直流电机及其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（Positive Airway Pressure）呼吸机与呼吸器中。本研究结果可为工业界实际设计工作与学术研究提供参考依据。作者已将本次研究结果用于构建2至3种不同的复杂模型（尚未完成），后续或可上传发布。