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基于DSP的集成式无刷直流电动机驱动控制系统的研究

发布时间:2018-07-25 14:27
【摘要】:目前国内电动汽车在电机、电池等关键部件的基本性能上与国外先进技术水平差距不大,但在电动汽车驱动技术、系统集成控制方面与国外相比还有不小差距。电动汽车需要解决的关键问题之一是电机驱动控制及其集成技术。无刷直流电动机(BLDCM)在电动汽车车载空调系统中应用时位置传感器和驱动器带来了一系列的缺陷与不足,因此开展对无刷直流电机无位置传感器控制和驱动集成研究具有一定的理论和实用价值。 本课题作为中国科学院知识创新工程重要方向性项目“电动汽车集成功率控制单元关键技术研究”的一部分,以TI公司的DSP嵌入式控制芯片TMS320F28335为基础对无位置传感器无刷直流电机驱动控制系统及新颖的集成式电机驱动-车载充电器系统结构展开研究。 首先本文在对无刷直流电动机数学模型,基本工作原理的分析基础上,研究了无刷直流电机无位置控制的关键技术,讨论了无刷直流电机位置检测方法,并采用反电势过零点法在Matlab中建立了改进的无刷直流电机无位置传感器控制系统仿真模型,使系统更直观、简化,更加贴近实际控制系统,为无刷直流电机无位置传感控制系统的设计与调试提供了新的方法。通过仿真结果得到的定子三相电流波形和反电动势波形与理论分析得到的波形一致,验证了该无位置传感器控制系统的正确性。 其次本文提出无刷直流电机集成化电机驱动-车载充电器拓扑结构,该拓扑结构具备驱动电机和快速车载充电器两种功能,并且结构拓扑简单,成本低,主驱动电路的功率开关器件复用,高效等优点。并针对集成式车载充电器提出一种三级并联功率因数校正方法,详细分析了交错并联不同移相控制策略对输入电流谐波消除效果的影响并给出数学推导过程,并在Simulink平台上搭建了CCM工作模式三级并联PFC,验证三级并联PFC采取移相控制策对集成式车载充电器的功率因数校正的可行性。 最后本文对无刷直流电机无位置控制系统进行了硬、软件详细设计与说明。硬件设计主要包括控制电路,功率驱动电路,检测保护电路,显示和通讯电路,系统软件是采用模块化编程思想应用C语言编写完成,然后结合系统硬件对无刷直流电机无位置传感器控制系统进行实验研究。实验结果表明无刷直流电机无位置驱动控制系统速度响应快速精准,稳定可靠。
[Abstract]:At present, the basic performance of electric vehicle in China is not far from that of foreign advanced technology, but there is still a big gap in driving technology and system integrated control of electric vehicle. One of the key problems of electric vehicle is motor drive control and its integrated technology. When the brushless DC motor (BLDCM) is applied in the vehicle air conditioning system of electric vehicle, the position sensor and driver bring a series of defects and deficiencies. Therefore, the research on position sensorless control and drive integration of brushless DC motor has certain theoretical and practical value. This topic is a part of the important directional project of knowledge innovation engineering of Chinese Academy of Sciences, "Research on key Technology of Electric vehicle Integrated Power Control Unit". Based on TI's DSP embedded control chip TMS320F28335, the structure of position sensorless brushless DC motor drive control system and a novel integrated motor driving-on-board charger system are studied. Firstly, based on the analysis of the mathematical model and basic working principle of brushless DC motor, the key technology of position control of brushless DC motor is studied, and the position detection method of brushless DC motor is discussed. An improved simulation model of position sensorless control system of brushless DC motor is established in Matlab by using inverse EMF zero-crossing point method, which makes the system more intuitive, simplified and closer to the actual control system. It provides a new method for designing and debugging the sensorless control system of brushless DC motor. The simulation results show that the stator three-phase current waveform and the back EMF waveform are consistent with those obtained by theoretical analysis, and the correctness of the sensorless control system is verified. Secondly, this paper presents a brushless DC motor driving-on-board charger topology, which has two functions: drive motor and fast on-board charger, and has simple topology and low cost. The power switch of the main drive circuit has the advantages of multiplexing and high efficiency. A three-stage parallel power factor correction (PFC) method is proposed for integrated vehicle chargers. The effect of different phase shift control strategies in staggered parallel connection on harmonic elimination of input current is analyzed in detail and the mathematical derivation process is given. At the same time, the three-stage parallel CCM operating mode is built on Simulink platform, which verifies the feasibility of the three-stage parallel PFC adopting phase-shift control strategy to the power factor correction of the integrated on-board charger. Finally, the hardware and software of brushless DC motor position control system are designed and explained in detail. The hardware design mainly includes control circuit, power drive circuit, detection and protection circuit, display and communication circuit. Then the position sensorless control system of brushless DC motor is studied with hardware. The experimental results show that the speed response of brushless DC motor sensorless drive control system is fast, accurate, stable and reliable.
【学位授予单位】:广东工业大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TM33

【引证文献】

相关期刊论文 前1条

1 胡超;;基于单片机电动空调压缩机控制器低功耗节能设计[J];科技视界;2015年34期

相关硕士学位论文 前1条

1 夏范昌;低功耗蓝牙纯电动智能车监测系统的开发[D];湖南大学;2016年



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