摘要
提出了一种基于MATLAB的能够有效提高仪器仪表测量精度的方法,该方法结合粒子群优化智能算法和灰色预测模型能够有效改善传统仪器仪表的测量精度。运用MATLAB编程实现粒子群非齐次灰色系统,应用仪表已知少量误差数据对系统进行训练得到仪表满量程数据误差的拟合模型,进而可对仪器量程内任意值进行修正。通过实验证明,该系统具有经济性、实用性和准确性高的特点。
The paper presents an approach which,combines the particle swarm algorithm and gray forecast model,can effectively improve the Meter accuracy.The implementation of particle swarm non-homogeneous grey system,using MATLAB programming,uses a small amount of the instrument known error data as training data to get the full-scale error fitting model.Then the model can be used to amend all values in the range.The system has the advantages of economy,practicality and high accuracy characteristic proved by experiments.
出处
《电子测量技术》
2015年第9期44-46,共3页
Electronic Measurement Technology
关键词
灰色系统
离子群优化算法
仪表精度
gray system
particle swarm optimization
meter accuracy
