高精度程控电阻网络生成算法设计
2021,43(6):95-101
朱利文
海军工程大学 核科学技术学院, 湖北 武汉 430033，15172535460@163.com
于雷
海军工程大学 核科学技术学院, 湖北 武汉 430033，yulei301@163.com
金传喜
海军工程大学 核科学技术学院, 湖北 武汉 430033
陈盼辉
海军工程大学 核科学技术学院, 湖北 武汉 430033
贾正荣
海军工程大学 舰船综合电力技术国防科技重点实验室, 湖北 武汉 430033
刘明辉
海军工程大学 核科学技术学院, 湖北 武汉 430033
海军工程大学 核科学技术学院, 湖北 武汉 430033，15172535460@163.com
于雷
海军工程大学 核科学技术学院, 湖北 武汉 430033，yulei301@163.com
金传喜
海军工程大学 核科学技术学院, 湖北 武汉 430033
陈盼辉
海军工程大学 核科学技术学院, 湖北 武汉 430033
贾正荣
海军工程大学 舰船综合电力技术国防科技重点实验室, 湖北 武汉 430033
刘明辉
海军工程大学 核科学技术学院, 湖北 武汉 430033
摘要：
为了提高高精度程控电阻的设计效率,建立高精度电阻网络的物理模型和数学模型,提出一种高精度程控电阻网络生成算法。该算法根据给定的量程和精度,基于主电阻网络、补偿电阻网络和偏移电阻的组合方式,自动生成高精度程控电阻网络。以量程90~250 Ω、精度5 mΩ的需求为例,在MATLAB平台上对算法进行仿真验证,仿真结果验证了算法的可行性。结果表明生成的程控电阻网络满足目标量程和精度的需求,算法解算时间仅为18.128 s。相比于人工设计的方式,该算法大大提高了设计效率。
为了提高高精度程控电阻的设计效率,建立高精度电阻网络的物理模型和数学模型,提出一种高精度程控电阻网络生成算法。该算法根据给定的量程和精度,基于主电阻网络、补偿电阻网络和偏移电阻的组合方式,自动生成高精度程控电阻网络。以量程90~250 Ω、精度5 mΩ的需求为例,在MATLAB平台上对算法进行仿真验证,仿真结果验证了算法的可行性。结果表明生成的程控电阻网络满足目标量程和精度的需求,算法解算时间仅为18.128 s。相比于人工设计的方式,该算法大大提高了设计效率。
基金项目：
军内科研资助项目(HJ20182A070216)
军内科研资助项目(HJ20182A070216)
Design of algorithm for high-precision programmable resistance network generation
ZHU Liwen
College of Nuclear Science and Technology, Naval University of Engineering, Wuhan 430033, China,15172535460@163.com
YU Lei
College of Nuclear Science and Technology, Naval University of Engineering, Wuhan 430033, China,yulei301@163.com
JIN Chuanxi
College of Nuclear Science and Technology, Naval University of Engineering, Wuhan 430033, China
CHEN Panhui
College of Nuclear Science and Technology, Naval University of Engineering, Wuhan 430033, China
JIA Zhengrong
National Key Laboratory of Science and Technology on Vessel Integrated Power System, Naval University of Engineering, Wuhan 430033, China
LIU Minghui
College of Nuclear Science and Technology, Naval University of Engineering, Wuhan 430033, China
College of Nuclear Science and Technology, Naval University of Engineering, Wuhan 430033, China,15172535460@163.com
YU Lei
College of Nuclear Science and Technology, Naval University of Engineering, Wuhan 430033, China,yulei301@163.com
JIN Chuanxi
College of Nuclear Science and Technology, Naval University of Engineering, Wuhan 430033, China
CHEN Panhui
College of Nuclear Science and Technology, Naval University of Engineering, Wuhan 430033, China
JIA Zhengrong
National Key Laboratory of Science and Technology on Vessel Integrated Power System, Naval University of Engineering, Wuhan 430033, China
LIU Minghui
College of Nuclear Science and Technology, Naval University of Engineering, Wuhan 430033, China
Abstract：
In order to improve the design efficiency of the high-precision programmable resistance network, the physical and mathematical models of the high-precision resistance network were established, and a high-precision programmable resistance network generation algorithm was proposed. The algorithm automatically generates a high-precision programmable resistor network based on the combination of the main resistance network, compensation resistance network and offset resistance network, according to the given range and accuracy. Taking the requirement of measuring range 90~250 Ω and accuracy 5 mΩ as an example, the algorithm was simulated and verified on the MATLAB platform, and the simulation results verified the feasibility of the algorithm. The results show that the generated programmable resistor network meets the requirements of target range and accuracy, and the algorithm solution time only needs 18.128 s. Compared with the manual design, this algorithm greatly improves the design efficiency.
In order to improve the design efficiency of the high-precision programmable resistance network, the physical and mathematical models of the high-precision resistance network were established, and a high-precision programmable resistance network generation algorithm was proposed. The algorithm automatically generates a high-precision programmable resistor network based on the combination of the main resistance network, compensation resistance network and offset resistance network, according to the given range and accuracy. Taking the requirement of measuring range 90~250 Ω and accuracy 5 mΩ as an example, the algorithm was simulated and verified on the MATLAB platform, and the simulation results verified the feasibility of the algorithm. The results show that the generated programmable resistor network meets the requirements of target range and accuracy, and the algorithm solution time only needs 18.128 s. Compared with the manual design, this algorithm greatly improves the design efficiency.
收稿日期：
2020-05-12
2020-05-12
