基于行驶理论的掘进机履带参数优化

Parametric optimization of roadheader crawler based on driving theory

针对掘进机在稀软底板行走能力较差的弱点,依据车辆地面力学原理,分析掘进机履带相关参数对履带—底板系统附着力的影响,借助优化理论建立以附着力最大为目标、确保掘进机转向和保护底板土壤承载性能为约束的优化模型,并借助处理约束优化问题的遗传算法加以求解。结果表明,优化后的履带与原设计相比,履带—底板系统附着力提高8.82%,有效提升了掘进机的行走性能。履带板的这种优化方法也可为其它履带车辆行走机构的设计提供借鉴。

In view of poor walking ability of the roadheader on soft floor, according to the principle of vehicle terramechanics, the paper analyzed the influence of relevant parameters of the roadheader crawler on adhesion force of the crawler-floor system. And then, optimization theory was applied to establish the optimization model with the goal of maximizing the adhesion force as well as the constraint of ensuring the roadheader steering and protecting the soil bearing capacity. Meanwhile, with the aid of the genetic algorithm dealing with constrained optimization, the model was solved. The results showed that the adhesion force of the crawler-floor system with optimized crawler improved by 8.82% compared with original crawler-floor system, thus the walking performance of the roadheader effectively increased. The optimization method of the track shoe could also provide reference for the design of the walking mechanism of other crawler-typed vehicles.