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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 the pressure sensor and avoid the compensation effect of the dynamic modeling error of the sensor, a dynamic compensation method based on Quantum-behaved Particle Swarm Optimization (QPSO) algorithm and mean square error is proposed. By inverse modeling of the sensor, the optimal order of compensator coefficients is obtained. The method is verified by shock tube dynamic calibration experiment, and the time and frequency characteristics of the sensor before and after compensation are analyzed. The results show that the method effectively extends the working frequency band of the sensor. In the live-ball test, the dynamic measurement error is reduced and the test accuracy is improved.