摘要
为修正压力传感器动态特性引起的测试误差,避免传感器动态建模误差影响补偿结果,提出了一种基于量子粒子群优化(QPSO)算法和均方误差的传感器动态补偿方法。通过对传感器进行逆建模,寻优得到了最优阶次的补偿器系数,利用激波管动态校准实验对该方法进行了验证,分析了补偿前后传感器的时域与频域特性。结果表明,该方法有效扩展了传感器的工作频带;在实弹测试中,减小了动态测量误差,提高了测试精度。
In order to correct the test error caused by the dynamic characteristics of pressure sensor and avoid the influence of the error of sensor＇s dynamic model on compensation results,a dynamic compensation method of the pressure sensor is presented,which is based on quantum-behaved particle swarm optimization（QPSO）algorithm and the mean square error（MSE）.By using this method,the inverse model of the sensor is built and optimized and then the coefficients of the optimal compensator are got.This method is verified by the dynamic calibration with shock tube and the dynamic characteristics of the sensor before and after compensation are analyzed in time domain and frequency domain.The results show that the working bandwidth of the sensor is extended effectively.This method can reduce dynamic measuring error and improve test accuracy in actual measurement experiments.
基金
The 11th Postgraduate Technology Innovation Project of North University of China(No.20141147)
关键词
压力传感器
动态补偿
QPSO算法
冲击波测试
频带拓宽
pressure sensor
dynamic compensation
quantum-behaved particle swarm optimization（QPSO）
shock wave test
band expansion
