【作者】 陈娅冰；

【导师】 纪志成； 周治平；

【作者基本信息】 江南大学 ， 检测技术与自动化装置， 2005， 硕士

【摘要】 无刷直流电机(BLDCM)是典型的多变量、参数时变的非线性控制对像,在实际应用中,对其速度、位置、转矩等控制精度要求越来越高,而且不同的工作环境、功能需求,需要不同的专用控制器。根据BLDCM工作原理及控制特性,本文对模糊PI复合控制器设计及FPGA实现方法进行了研究。通过理论分析,本文针对硬件实现要求,设计了基于模糊推理的PI参数自调整方案,采用直线形隶属度函数,对模糊化及模糊推理过程进行简化,降低了硬件实现复杂度。控制器设计过程中,采用了System Generator(SG)/Simulink混合建模的方法,利用标准MATLAB/Simulink库建立BLDCM本体模块,需要FPGA实现的控制功能模块,由SG完成。通过SG的Gateway模块进行SG与Simulink之间的无缝整合,用户可在图形环境中便捷地进行系统规划和硬件实现,充分利用计算机仿真的优越性,大大缩短了控制方案设计周期。在利用SG设计复杂算法的基础上,采用VHDL完成控制芯片的数据采集和设计整合工作,实现了BLDCM速度控制与电流控制单芯片集成。基于FPGA的BLDCM硬件实验平台,将串口作为FPGA控制器与PC机的通讯接口,利用MATLAB图形界面动态绘制数据曲线,对电机运行进行实时监测。仿真和实验结果证明了该模糊PI控制算法有效性。采用SG、MATLAB/Simulink与VHDL三者有机结合,可方便快捷地完成基于FPGA的算法设计与验证工作。更多还原

【Abstract】 The brushless DC motor (BLDCM) has typical dynamic, time-variable andnon-linear characters. In this paper, a BLDCM fuzzy PI intelligent method has beenproposed on the basis of the analysis for the controlling characteristics and workingprinciples, which is implemented based on FPGA platform. A digitized hardwaredesign scheme of BLDCM fuzzy PI controller is presented.According to previous research, the fuzzy PI algorithm is improved, whichreduces the complex degree of hardware implementation. System Generator is anefficient high level design tool based on FPGA. MATLAB/Simulink is one of the mostpopular simulation tools to build offline models. Combining with the advantages of thetwo softwares, a novel approach for SG/Simulink hybrid modeling and simulation ofBLDCM control system is presented. Using the professional SG tools, the designprocedure of the model of BLDCM control system is illuminated. After finishing thedesign of complex algorithm by SG tools, we used VHDL to achieve the rest design ofcontrol chip, and integrated BLDCM’s speed control and current control into one-chipFPGA. The realized FPGA controller also contains a host communication interface.The host is a moitor, and it can show realtime wave of BLDCM’s speed and current byMATLAB tools.The reasonability and validity of the fuzzy PI algorithm have been testified by thesimulateion and experimental results. The algorithm based on FPGA can be designedand validated expediently under the organic integration by SG、MATLAB and VHDL.更多还原