汽车起重机转向梯形机构遗传算法优化

Genetic algorithm optimization of steering trapezoid linkage of truck crane

在满足传动性能和边界约束条件下,根据汽车起重机转向机构的内、外转向轮理想的转角关系,以内侧转向轮理论转角和实际的内轮转角之间均方根误差最小为优化目标,建立了优化设计的数学模型。由于传统的优化方法存在着求解过程复杂和寻优过程容易陷入局部最优解的问题,故应用matlab遗传算法工具箱寻求最优解,使求解过程得到简化,能可靠地获得全局最优解。

considering transmission capacity, boundary constraints and ideal relationship between steering angles of outer and inner wheels, the optimization mathematical model of steering trapezoid linkage is built, which takes minimum sum of squares relative error between actual angle and expectant angel of inner guide wheels as optimization objective. This method can make it easier to conduct optimization design with Genetic Algorithm and Direct Search Toolbox of Madab software, avoid complex procedure and obtain global optimization result.