基于改进型蚁群算法的内燃机配气凸轮机构型线动力学优化设计

针对内燃机配气机构工作时的振动、冲击和噪声问题，建立内燃机配气凸轮机构型线的动力学数学模型。对蚁群算法在内燃机配气凸轮机构型线参数优化设计进行详细分析，并对蚁群算法存在的容易陷入局部解问题，将蚁群算法和遗传算法进行有效地结合，使得改进后的蚁群算法能够高效率地对内燃机配气凸轮机构型线参数进行优化设计：运用改进型蚁群算法和Matlab语言，对内燃机配气凸轮机构型线数学模型进行仿真优化计算，与原设计相比，仿真结果表明，丰满系数提高，动态最大正加速度在上升段降低，在下降段增加，动态最大负加速度降低，使得系统动态速度和动态加速度趋于平稳，有效地减少了内燃机配气机构的冲击振动，提高了内燃机的动力性能。

OPTIMIZATION DESIGN OF DISTRIBUTION CAM MECHANISM IN INTERNAL COMBUSTION ENGINE BASED ON IMPROVED ANT COLONY ALGORITHMS

In order to solve the problem of distribution cam mechanism's vibration, crash and noises in operation, dynamical optimization model regarding distribution cam mechanism in internal combustion engine was built. Ant colony algorithms in the optimization were analyzed in detail. Since ant colony algorithms easily fell into local solutions, improved ant colony algorithms were got by combining ant colony algorithms and genetic algorithms effectively. Improved ant colony algorithms worked very efficiently in the optimization. Based on improved ant colony algorithms and MATLAB, optimization programs concerning the model were made and simulation was done. Compared with original design, the simulation results showed that plentiful coefficient improved. Dynamical maximum positive acceleration decreased in ascending and increased in descending. The maximum negative acceleration decreased. All these made system dynamical velocity and dynamical acceleration stable and alleviated shock vibration effectively.