CAJ | 학술논문

为了降低运用简化传感器模型对动态测试结果进行修正时带来的误差，提出一种基于最小二乘( LSM)与粒子群优化算法( PSO)的动态补偿器设计方法。采用最小二乘法识别传感器的最佳阶次，作为补偿器的阶次，克服简化模型对补偿器设计的影响，结合粒子群算法对传感器进行逆建模得到补偿器，并分析补偿前后传感器的时域与频域特性。实验表明，该方法能有效的降低传感器的动态测量误差。
위료강저운용간화전감기모형대동태측시결과진행수정시대래적오차，제출일충기우최소이승( LSM)여입자군우화산법( PSO)적동태보상기설계방법。채용최소이승법식별전감기적최가계차，작위보상기적계차，극복간화모형대보상기설계적영향，결합입자군산법대전감기진행역건모득도보상기，병분석보상전후전감기적시역여빈역특성。실험표명，해방법능유효적강저전감기적동태측량오차。
In order to correct the error caused by dynamic characteristics of sensor by using simplified model,a de￣sign method of dynamic compensator based on least square method( LSM)&particle swarm optimization( PSO) algo￣rithm is presented. Using the least square method to identify the optimal order of the sensor,which used as the order of the compensator,an analysis about the dynamic characteristics of the sensor is made in the time domain and fre￣quency domain. Experimental results show that this method can effectively reduce the dynamic measurement error of the sensor.