基于半實(shí)物仿真的BLDC電機(jī)控制平臺(tái)的研究與設(shè)計(jì)
[Abstract]:BLDC motor (i.e. Brushless DC Motor, brushless DC motor) integrates many advantages of DC motor, and overcomes the inherent shortcomings of DC motor. At present, the common BLDC motor control systems are mostly micro-controller control systems, whose control algorithms rely on manual programming, so the efficiency is low. In the research of control science, MATLAB/Simulink simulation control algorithm is usually used, but it can not be directly applied to practice. In order to solve the above contradiction, this paper studies and designs the BLDC motor control platform based on the hardware-in-the-loop simulation technology. Using the RTW platform of Math Works Company, the Simulink control model is directly generated into the C code of the control hardware system. The realization of rapid prototyping control in hardware-in-the-loop simulation enables designers to focus on algorithm design instead of programming, which greatly improves the efficiency and reliability of development. The platform adopts the dual-machine mode of the host computer and the control model of the host computer. The target machine runs the x PC Target real-time kernel based on MATLAB, and receives the code of the control model designed by the host computer through Ethernet and runs in real time. And then control the hardware system. The main research work of this paper is as follows: (1) the related contents of BLDC motor are summarized. The structure and working principle of the motor are introduced. According to its structure, the mathematical model of the motor is introduced. Finally, the control method of the motor is discussed. (2) the modeling and simulation experiments of the BLDC motor control system are carried out. On the basis of the motor control method, the PID control system of the motor is modeled, and the model is simulated. Secondly, the fuzzy adaptive PID control system of motor is modeled and simulated, and compared with the experiment of PID control system. It is concluded that fuzzy adaptive PID control is more suitable for BLDC motor. (3) the hardware system design of BLDC motor control platform is introduced. The hardware structure of the whole system is discussed, and the selection and configuration of the host computer and the target machine are discussed respectively, and the contents of the communication between the two computers are introduced. Finally, the design of other hardware circuits and mechanical transmission system is introduced. (4) the fuzzy adaptive PID control system model and hardware system based on motor are introduced, and the hardware-in-the-loop simulation modeling of motor control platform is carried out. Experiments and verification were carried out. By comparing the experimental results with the simulation results, it is proved that the design meets the requirements of BLDC motor control.
【學(xué)位授予單位】:吉林大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TM33
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