摘要
为提高履带车辆自动变速系统对复杂行驶工况的自适应能力,在基本模糊控制策略基础上,运用参数自调整模糊控制方法,建立了一个具有两级递阶结构的自适应模糊换挡控制系统。基本模糊控制模块将油门开度、车速和加速度三参数进行模糊化和模糊推理,实现挡位决策;自适应控制模块按照测得的车速和加速度对直线行驶阻力和附着力进行在线辨识,进而对量化因子进行自调整,可改善履带车辆在随机工况条件下的换挡品质。该系统对不确定的车辆参数和外界负荷的扰动具有较好的稳定性。仿真研究表明所设计的模糊控制系统具有良好的自适应能力。
Based on a basic fuzzy shift strategy, a two-stage adaptive fuzzy control system for automatic transmission of tracked vehicle was established to improve the adaptability of the control system for tracked vehicle on complex running conditions using parameter self-adjusting fuzzy control method. The basic fuzzy shift module implemented the fuzzification of throttle opening, vehicle speed and acceleration and fuzzy inference to decide shift position. According to the measured vehicle speed and acceleration, the adaptive fuzzy control module could identify linear running resistance and adhesive force of tracked vehicle and automatically regulated the fuzzy normalized factors. This system improves the shift quality of tracked vehicle under manifold driving conditions. So it has good robustness to uncertain vehicle parameters and external load disturbance. The simulation results show that the proposed adaptive fuzzy system has good adaptability.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2007年第21期4912-4917,共6页
Journal of System Simulation
基金
车辆传动国家重点实验室基金项目(51457070105jw0514)
关键词
模糊控制
自动变速器
履带车辆
自适应
仿真
fuzzy control
automatic transmission
tracked vehicle
adaptive
simulation
