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 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 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 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.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提交至《IEEE Transactions on Power Electronics》的研究论文。在本文及本数据集中，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，实现无刷直流电机（Brushless DC Motor, BLDC）的转速与转子位置估算。本实现采用成熟的矢量控制方案，额外结合滑模观测器（Sliding Mode Observer, SMO）或磁链观测器，即可完成转速与无传感器转子位置的估算。三相逆变器的开关模式通过空间矢量调制（Space Vector Modulation）实现。本数据集与同类研究的差异之处在于，作者纳入了以下分析内容，并可通过附带的图表进行验证与解读：1. 滑模观测器与磁链观测器的性能对比；2. 将PWM开关频率在20 kHz至2 MHz范围内调整44次，该数据可辅助工业场景中MOSFET开关频率的选型（工业场景中常采用20 kHz作为开关频率）；3. 系统稳定裕度；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. 伯德图（幅频特性与相频特性）；9. 未补偿系统与补偿后系统的极点零点图；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；12. 未补偿系统与补偿后系统的尼科尔斯图；13. 未补偿系统与补偿后系统的冲激响应。其中，补偿后系统为引入滑模观测器/磁链观测器后的闭环系统。上述所有内容均在32位实时微控制器上完成实现。未在本文中提及的引脚被用于通用控制器局域网（CAN）、USB、RS485等外设接口。本仿真未包含功率因数校正（Power Factor Correction, PFC）模块，因假设系统功率因数PF=1。此类无刷电机与控制器已广泛应用于诸多工业领域，包括医疗行业，例如正压气道通气机、呼吸机。本研究可为工业实际设计与学术研究提供重要参考。作者已将本研究结果用于设计2~3种全新的复杂模型（尚未完成），相关内容后续可能上传至公开平台。另有相关数据集采用8极Y型绕组电机，但规格有所不同，其标题为"200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer"，DOI链接为https://dx.doi.org/10.21227/8rz1-p666。