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构架式轨距——轨向检测系统信号合成算法及系统验证 被引量:4

Signal Integration Algorithm and System Validation in the Frame-Type Gauge-Alignment Measurement System
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摘要 通过对图像传感器输出的轨距左右偏移信号和左右高低偏移信号、加速度计输出信号和车体惯性平台输出的轨道倾角信号进行合成处理,得到准确的轨距和轨向测量结果。从理论上推导轨向的合成算法,对安装于轨距测量梁中心的轨向加速度计的响应进行重力和旋转运动修正后,与三角窗函数卷积运算,得到轨距测量梁中心横向位移的二阶差分,然后再通过二次积分和滤波得到左右轨向值。通过设计模拟低通滤波和相应的数字滤波器,实现了加速度滤波器的幅频响应与检测车速度无关,保证了系统的检测精度。对轨向加速度计测得的位移和摄像式轨距系统测得的位移进行比较,验证了系统测量原理和合成算法的正确性。经静态验证和现场试验,结果证明构架式轨距—轨向检测系统具有检测精度高、性能稳定和故障率低的优点。 The accurate measurement results of the gauge and alignment were achieved by integrating the output signals (left and right gauge offset, left and right profile offset) of the image sensor, the output signals of the alignment accelerometer and the output track inclination signal of the carbody inertial platform. The integration algorithm of track alignment was deduced theoretically. The response of the alignment accelerometer installed in the center of the gauge measuring beam was corrected by rotation and gravity amendment, and then convoluted with the triangular window function to get the second-order difference of the gauge measuring beam transverse displacement. Finally the right and left alignment values were obtained through filtering and quadratic integral. Through the design of the analog low-pass filter and the corresponding digital filter, it is realized that the amplitude-frequency response of acceleration filter has nothing to do with the speed of the track inspection car and the inspection accuracy of the system is ensured. The measured displacement by the alignment accelerometer and the measured displacement by the gauge system are compared to verify correctness of the measurement principle and system integration algorithm. The static verification and field test results show that the frame-type gauge-alignment measurement system has high detection precision, stable performance and the low failure rate.
出处 《中国铁道科学》 EI CAS CSCD 北大核心 2010年第2期79-83,共5页 China Railway Science
基金 中国铁道科学研究院基础所基金资助项目(0540JJ1405H)
关键词 轨距—轨向检测 合成算法 数字滤波 轨检车 Gauge-alignment inspection Integration algorithm Digital filter Track inspection car
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