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Nonlinear sensor calibration method based on brainstorming optimization algorithm

An optimization algorithm and brainstorming technology, applied in design optimization/simulation, instrumentation, calculation, etc., can solve the time-consuming problems of genetic algorithm and particle swarm algorithm

Active Publication Date: 2019-02-26
XIAN AVIONICS TECH
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Problems solved by technology

At present, the main software compensation methods include least square method, function correction method, BP neural network method, genetic algorithm and particle swarm algorithm, among which the least square method, function correction method and BP neural network method are easy to fall into local optimum, while genetic algorithm and Particle swarm optimization takes longer in high-precision calculations

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  • Nonlinear sensor calibration method based on brainstorming optimization algorithm
  • Nonlinear sensor calibration method based on brainstorming optimization algorithm
  • Nonlinear sensor calibration method based on brainstorming optimization algorithm

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Embodiment Construction

[0049] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0050] like figure 1 and figure 2 As shown, the calibration system adopted by the calibration method of the present invention includes a computer, a CPU, a nonlinear sensor, and peripheral devices required for sensor data acquisition: the computer is connected to the CPU, and the CPU is connected to the nonlinear sensor; the nonlinear sensor is required for Corrected sensor; CPU is used to collect sensor data, obtain nonlinear sensor output data, and transmit the nonlinear sensor output data to the computer; at the same time, it can also receive the data transmitted by the computer, and calculate and correct according to the data and mathematical model. post sensor data;

[0051] The computer is used to receive the data transmitted by the CPU, run the correction algorithm program in the computer software development environment VS, receive the sensor d...

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Abstract

The invention relates to a correction optimization algorithm of a nonlinear sensor, the invention particularly relates to a nonlinear sensor correction method based on a brainstorming optimization algorithm, A mathematical model of nonlinear sensor calibration is establish, The calibration capacity constraint and fitness function of the nonlinear sensor calibration mathematical model are set, andthe nonlinear sensor calibration mathematical model is used to calibrate the nonlinear sensor through the brainstorming optimization algorithm. The correction method of the invention can obtain the global optimal solution by comparing the local optimal solution, and can calculate the correction undetermined constant group with high accuracy and high speed.

Description

technical field [0001] The invention relates to a calibration and optimization algorithm of a nonlinear sensor, in particular to a nonlinear sensor calibration method based on a brainstorming optimization algorithm. Background technique [0002] Ideally, the input and output of a sensor have a linear relationship, but due to factors such as the environment and the sensor itself, there is a nonlinear relationship between the output and input of many sensors. In order to solve the above-mentioned problems, two methods of hardware compensation and software compensation are usually adopted, but due to the high cost of hardware compensation, software compensation is more popular. At present, the main software compensation methods are the least squares method, the function correction method, the BP neural network method, the genetic algorithm and the particle swarm algorithm. The particle swarm algorithm takes longer in the high-precision calculation process. Therefore, a better...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20Y02T10/40
Inventor 赵秀谊赵志峰郝东丽徐波
Owner XIAN AVIONICS TECH
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