| 杨金显,袁旭瑶,王赛飞,蔡纪鹏,尹凤帅.基于 ISO 的随钻磁力计误差补偿[J].电子测量与仪器学报,2023,37(12):196-203 |
| 基于 ISO 的随钻磁力计误差补偿 |
| Error compensation of magnetometer while drilling based on ISO |
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| DOI： |
| 中文关键词: 磁力计 ISO 算法 Tent 混沌反向学习 自适应技能强度因子 技能交叉 方位角 |
| 英文关键词:magnetometer improved skill optimization algorithm Tent chaos reverse learning adaptive skill strength facto skill
crossover azimuth angle |
| 基金项目:国家自然科学基金(41672363)、河南省自然科学基金(232300421152)项目资助 |
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| Author | Institution |
| Yang Jinxian | 1. School of Electrical Engineering and Automation, Henan Polytechnic University, 2. Henan Key Laboratory of Intelligent Detection and Control of Coal Min Equipment |
| Yuan Xuyao | 1. School of Electrical Engineering and Automation, Henan Polytechnic University, 2. Henan Key Laboratory of Intelligent Detection and Control of Coal Min Equipment |
| Wang Saifei | 1. School of Electrical Engineering and Automation, Henan Polytechnic University, 2. Henan Key Laboratory of Intelligent Detection and Control of Coal Min Equipment |
| Cai Jipeng | 1. School of Electrical Engineering and Automation, Henan Polytechnic University, 2. Henan Key Laboratory of Intelligent Detection and Control of Coal Min Equipment |
| Yin Fengshuai | 1. School of Electrical Engineering and Automation, Henan Polytechnic University, 2. Henan Key Laboratory of Intelligent Detection and Control of Coal Min Equipment |
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| 中文摘要: |
| 针对随钻测量(MWD)中,微机电系统(MEMS)磁力计测量地磁数据误差大,导致磁方位角解算精确度低的问题,提出
改进技能优化(improved skill optimization,ISO)的磁力计误差参数估计方法。 首先根据磁力计输出特性建立多参数误差模型,
根据当地地磁矢量与磁力计输出矢量的模值关系,通过最小化原则构造非线性误差目标函数,重力矢量和磁场矢量之间的点积
值为固定值作为约束函数,采用 SO 算法进行寻优。 由于磁误差源多估计难度大,在 SO 基础上提出 ISO 算法,采用 Tent 混沌反
向学习初始化策略改善初始种群的随机性, 保留最优解的同时增加磁误差参数解空间的多样性。 引入自适应技能强度因子,
并增加成员间技能交叉规避局部最优,改善 ISO 磁误差参数寻优技能步长,减小算法运行时间,优化全局搜索能力,提高磁力计
误差补偿精度。 最后通过转台实验和模拟钻进实验验证 ISO 方法补偿性能,通过与 SO 算法和 PSO 算法对比,实验结果表明该
算法对磁力计误差参数优化效果显著,计算出的地磁模值误差范围减小至±0. 2 μT,方位角绝对误差均值降至 2. 1°,说明了参
数优化后磁力计输出误差明显减小,该方法可以有效提高 MEMS 磁力计量测精度,可以获得可靠的方位角,验证了 ISO 的有
效性。 |
| 英文摘要: |
| In the context of measurement while drilling (MWD), there is a significant issue related to the accuracy of magnetic azimuth
calculations due to substantial errors in the measurement of geomagnetic data using micro-electro-mechanical systems ( MEMS )
magnetometers,improved skill optimization (ISO) error parameter estimation method for magnetometer was proposed. Firstly, a multiparameter error model is established according to the output characteristics of the magnetometer, and according to the modulus
relationship between the local geomagnetic vector and the real output vector of the magnetometer, the nonlinear error objective function is
constructed by the principle of minimization, and the dot product value between the gravity vector and the magnetic field vector is a fixed
value as the constraint function, and the SO algorithm is used for optimization. Due to the difficulty of estimating the magnetic error
sources, the ISO algorithm is proposed on the basis of SO, and the Tent chaotic inverse learning initialization strategy is used to improve
the randomness of the initial population, retain the optimal solution and increase the diversity of the solution space of the magnetic error
parameters. The adaptive skill intensity factor is introduced, and the skill cross-avoidance local optimal between members is increased,
the skill step size of the ISO magnetic error parameter optimization is improved, the algorithm running time is reduced, the global search
ability is optimized, and the error compensation accuracy of the magnetometer is improved. Finally, the compensation performance of the
ISO method is verified by turntable experiments and simulated drilling experiments, and the experimental results show that the proposed
algorithm has a significant optimization effect on the error parameters of the magnetometer, and the error range of the calculated geomagnetic modulus is reduced to ±0. 2 μT, and the mean absolute error of azimuth is reduced to 2. 1°. It is shown that the output error
of the magnetometer is significantly reduced after parameter optimization, and the method can effectively improve the accuracy of MEMS
magnetometer measurement, obtain reliable azimuth angles, and verify the effectiveness of ISO. |
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