高精度无源电阻发生器的研究
[Abstract]:As an important reference in the field of instrument calibration and circuit testing, resistance generator is widely used in automotive and aeronautical instrument adjustment, impedance test of multimeter and electronic circuit debugging and so on. At present, resistance generation technology mainly includes active and passive. Among them, active resistance generation technology has a large power consumption and is easy to interfere with external circuits. Therefore, passive resistance generation technology is more widely used in low power instrument detection applications, and its principle is simple and easy to realize. But the output precision and stability of passive resistance generator are still insufficient. Therefore, the research of high precision passive resistance generator is an urgent problem to be solved. In order to solve the above problems, a high precision passive resistance generator is proposed in this paper. The system uses ARM as the main control unit to control relay switch to realize passive resistance output. The system calibration function is completed by communicating with the high precision multimeter, and the software interface display is realized by using LCD display module and touch conversion chip. User action identification and response function. By analyzing the hardware factors affecting the output performance of the system and its influence rules, the quantitative relationship between the combination of the resistors and their actual output resistance values under the comprehensive action of each influence factor is determined by using the method of simulating the actual resistance output. The simulation equation of resistance output is established. The simulation equation is solved by breadth-first search algorithm and branch-bound algorithm respectively, and the optimal resistance combination with actual output value closest to the set resistance value is obtained, and the time complexity of the two algorithms is analyzed by comparing the time complexity of the two algorithms. Determine the breadth-first search algorithm as the optimal resistance combination algorithm; The software of lower computer is developed based on GUI graphic interface library. Through the identification and response of user operation by man-machine interaction unit, the control function of lower computer software to resistance generator is completed. Based on the Visual Studio2010 development environment, the upper computer software is designed with C # language. Through the communication protocol of USB HID, the information interaction between the upper computer software and the resistance generator is completed. So the passive resistance output, system calibration, information monitoring and other functions can be realized by the upper computer or the lower computer, which can meet the control requirements of the resistance generator and achieve good human-computer interaction performance. Through the performance test of the passive resistance generator, the experimental results show that the system is realized in the range of 1.0 ~ 20 km ~ (- 1). Output range, 0.1? Resolution (1 k? Within, 1 k? The above resolution is 1?) Under the technical index of 1.0? In the output range, the maximum relative error of the system output is 2.4%, 11.1 / 12k? Within the output range, the maximum relative error of the system output is 0.8%, and the maximum output error of the system is 12 kg / 20 kg? In the output range, the maximum relative error of the system output is 0.029%, the response time of the system is better than 500 Ms, and the output value of the system has good repeatability. And it can effectively reduce the influence of device aging on the system output accuracy, and has a certain stability. Therefore, the passive resistance generator solves the problems of low output precision and poor stability in the existing passive resistance generation technology, and provides a new method for high precision passive resistance output, which has high engineering application value.
【学位授予单位】:河南科技大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TM54
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