直线变圆弧角度调整机构误差分析与标定  

Error analysis and calibration for linear changing arc angle adjusting mechanism

作　　者：庞智[1] 宋代平[1] 吴小勇[1] 刘双龙 

机构地区：[1]重庆大学机械传动国家重点实验室,重庆400044

出　　处：《机械设计》2018年第2期42-47,共6页Journal of Machine Design

基　　金：国家自然科学基金资助项目(U1530138)

摘　　要：为满足风洞试验高精度要求,采用了一种连续蚁群算法对直线变圆弧角度调整机构误差进行标定。基于该机构运动学的正逆解,利用解析法建立了误差模型,从而明确了其主要误差源,并通过控制变量法分析了各误差源对俯仰角精度的影响。根据误差模型将误差补偿转化为误差源组合优化问题,运用连续蚁群算法进行求解。文中以直线变圆弧角度调整机构为例进行仿真分析,证明了该算法具有较好的全局优化能力,俯仰角精度由10-2级提高到10-5级,有效地提高了该机构的精度。In order to satisfy the requirement of wind tunnel experiment which needs high testing precision, the error of linear variable arc angle adjusting mechanism is carried on calibration using a continuous ant colony algorithm. Based on the kinematic positive-inverse solution, the error model is established using the analytic method, which made clear its main error sources, and the control variable method is adopted to analysis the influence of various error sources for pitching angle precision.According to the error model, error compensation can be converted to the combinatorial optimize problem of the error source, by using ant colony algorithm to solve. The linear variable arc angle adjusting mechanism is taken as an example, the simulation analysis is worked out, and results show that the algorithm has better global optimization ability, the pitch angle accuracy is raised from the level to the level, and the precision of the agency is improved effectively.

关 键 词：风洞试验 运动学 连续蚁群算法 误差分析与标定 

分 类 号：TP24[自动化与计算机技术—检测技术与自动化装置]