CAJ | 학술논문

深水铺管起重船“海洋石油201”是我国首艘 DP3级动力定位工程船舶。船上的位置测量系统为动力定位系统提供足够准确和可靠的位置、速度和姿态等信息，是实现精确定位的前提。论文基于卡尔曼滤波算法和联邦卡尔曼滤波算法，对 HiPAP501系统传感器数据进行融合研究。通过仿真试验证明了融合方法的有效性，在信息传输和检测过程中减少了外来干扰与设备内部噪声的影响；多传感器信息的利用显著提高了数据的精度和可靠性。
심수포관기중선“해양석유201”시아국수소 DP3급동력정위공정선박。선상적위치측량계통위동력정위계통제공족구준학화가고적위치、속도화자태등신식，시실현정학정위적전제。논문기우잡이만려파산법화련방잡이만려파산법，대 HiPAP501계통전감기수거진행융합연구。통과방진시험증명료융합방법적유효성，재신식전수화검측과정중감소료외래간우여설비내부조성적영향；다전감기신식적이용현저제고료수거적정도화가고성。
Deepwater pipelay crane vessel “Hai Yang Shi You 201” is a DP3 class dynamic positioning construction vessel. Position measurement system provides accurate and reliable information of position, velocity and attitude for dynamic positioning system, which is the premise of achieving precise positioning. Sensor data fusion for HiPAP501 system is researched in this paper based on both Kalman filtering algorithm and federal Kalman filtering algorithm. The effectiveness of the fusion method has been proved through simulation experiment. The fusion method can reduce external interference in transmission, detection process and reduce internal noise, and the accuracy and reliability of data can be improved by using multi-sensor information.