微球聚焦测井仪推靠系统多目标优化设计

Multi-objective Optimization Design of Push System for Microsphere Focusing Logging Tool

提出了基于极板速度、加速度以及推靠系统主传动机构传动角为优化设计目标的推靠系统优化设计方法。通过推靠系统的运动分析,根据实际工况,择优选取推靠系统中极板质心处的速度、加速度,作为推靠系统传动性能的评价参数。以此期望参数与推靠极板质心点处的运动速度差值均方根,加速度差值均方根,推靠系统主传动机构传动角差值均方根最小为目标,建立推靠系统的约束多目标优化模型。采用复合形遗传算法中群体搜索策略和群体间个体之间的信息交换方法引入复合形算法中,来求解该约束多目标优化问题。获得了与期望值逼近程度较高、机构参数合理的测井推靠系统。最后,将优化结果与原设计的微球聚焦测井仪推靠系统进行动力性能分析比对,以验证其优化方法的正确性与有效性。结果表明,优化效果明显,对推靠系统的运动平稳性以及推靠极板的传力性能都有较大改善。

The optimum design method of the pushback system based on the speed,acceleration and driving angle of the main driving mechanism of the pushback system is presented.According to the actual working conditions,the velocity and acceleration at the center of the polar plate in the push system are selected as the parameters to evaluate the driving performance of the push system through the motion analysis of the push system.Based on the result that the mean square root of the velocity difference and acceleration difference between the expected parameters and the moving velocity difference at the point of the center of mass of the pushing plate and the minimum mean square root of the transmission angle difference of the main drive mechanism of the system,the constrained multi-objective optimization model of the push system is established.An improved complex algorithm for population search in genetic algorithm and the information exchange method between individuals are introduced into the complex algorithm to solve the constrained multi-objective optimization problem.A log pushing system with high approximation to expected value and reasonable mechanism parameters is obtained.Finally,the optimization results are compared with the original design of the microsphere focusing logging system for dynamic performance analysis to verify the correctness and effectiveness of the optimization method.The results show that the optimization effect is obvious and the stability of motion and the force transfer performance of the pushing plate are greatly improved.