The Design Of Sensor-less BLDCM Control System Based On FPGA

The mathematical model of BLDCM is introduced, and the principle of back-EMF mothod is illustrated in detail. As the BLDCM has typical dynamic, time-variable and non-linear characters, the troditional PID control couldn't obtain the highlight effecticeness because of the nonlinearity and the uncertainty of the BLDCM mathematical model and wide range of oprating conditions. So, this paper presents a Double closed-loop controller based on the single neuron adaptive PID with practical advanced Hebb supervising study.This paper presents the advantage of FPGA based motor control system of BLDCM, and introduces a new popular FPGA design method—DSP Builder FPGA design, which is a bridge between FPGA design and MATLAB tools. DSP Builder provides an interactive graphical environment and a customizable set of block libraries that let people design, simulate, and test a FPGA control system easily. MATLAB/Simulink is one of the most popular simulation tools to build offline models. DSP Builder is an efficient high level design tool base on FPGA. Combining with the advantages of the two softwares, a novel approach for DSP Builer/Simulink hybrid modeling and simulation of BLDCM control system is presented. The algorithm based on FPGA can be designed and validated expediently under the organic integration by DSP Builder and MATLAB. And the simulation based on DSP Builder/Simulink is very different from the simulation using MATLAB/Simulink system. HDL code can be created from DSP Builder simulation system, and can download to a FPGA chip directly. This paper presents the main algorithms, such as PI, the single neuron adaptive PID, cross-zero detection, FIPS, PWM and so on, base on FPGA using DSP Builder standard and advanced blockset, whick was validated by the simulation results.