复杂行驶ェ况下履带车辆自动变速器的模糊控制

为使履带车辆自动变速系统适应复杂多变的行驶工况，基于由车辆行驶状态参数、路面状况和驾驶员操纵信息形成的人一车一路闭环系统，提出了履带车辆模糊换档控制的主要原则，建立了履带车辆动力传动系统仿真模型。运用模糊控制理论，建立了由基本模糊换档策略和模糊修正模块组成的车辆模糊智能换档控制系统，以提高履带车辆的动力性和越野机动性。仿真结果表明这种模糊换档策略改善了履带车辆在各种工况下的换档品质，有效地避免了循环换档的发生，从而验证了所设计的模糊智能换档策略的正确性和可行性。

Fuzzy Control of Automatic Transmission of Tracked Vehicle Under the Complicated Running Conditions

Based on human-vehicle-road closed loop system of tracked vehicle consisted of steering parameter, road surface status and driver manipulating information, the primary principle of a fuzzy intelligent shift control of tracked vehicle was proposed and the simulation model of a tracked vehicle powertrain was established to improve the adaptability of automatic transmission for tracked vehicle on complex running conditions. An intelligent fuzzy shift control system composed of a basic fuzzy shift strategy and a fuzzy modification module was developed to improve dynamic conditions and cross-country maneuverability. The simulation result shows that the fuzzy shift strategy can improve the shift quality of a tracked vehicle under varying driving conditions and avoid shift cycling effectively. Therefore the intelligent fuzzy shift strategies are effective and practicable.