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 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/10.21227/8rz1-p666,

本数据集用于支撑即将投稿至《IEEE Transactions on Power Electronics》的研究论文。本文及本数据集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——实现无刷直流电机（Brushless DC Motor, BLDC）的转速与转子位置估算。本方案采用成熟的矢量控制实现框架，新增滑模观测器（Sliding Mode Observer, SMO）或磁链观测器以实现转速与无传感器转子位置的估算；三相逆变器的开关模式采用空间矢量调制实现。

本数据集相较于同类工作的新增内容如下，相关分析可结合附带图表得出：
1. 滑模观测器与磁链观测器的性能对比；
2. 脉冲宽度调制（Pulse Width Modulation, PWM）开关频率在20 kHz至2 MHz范围内共设置45种工况，可用于指导金属-氧化物-半导体场效应晶体管（Metal-Oxide-Semiconductor Field-Effect Transistor, MOSFET）开关频率的选型（工业场景中亦常采用20 kHz开关频率）；
3. 稳定性裕度分析；
4. 开环控制性能；
5. 传递函数补偿；
6. 闭环整定；
7. 未补偿系统与补偿后系统的根轨迹；
8. 幅频与相频特性伯德图（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. 正弦激励响应。
注：此处的补偿后系统指采用滑模观测器/磁链观测器的系统。

所有实验均基于32位实时微控制器完成。本方案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）、RS-485等外设接口。本仿真未包含功率因数校正（Power Factor Correction, PFC）模块，假设功率因数（Power Factor, PF）为1。

此类无刷直流电机及其控制器广泛应用于诸多工业领域，包括医疗行业，例如持续气道正压通气（Positive Airway Pressure, PAP）呼吸机、通气设备。本研究可为工业现场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至3个尚未完成的复杂新型模型的设计，后续可能上传相关内容。

另有相关数据集，采用8极Y型绕组电机，但规格有所不同，标题为《200W BLDC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。