智能车辆自动超车控制仿真研究

Research on Intelligent Vehicle Autonomous Overtaking Control and Simulation

为了真实地模拟驾驶员的超车行为,以智能车辆自动超车行为作为研究的对象,提出了动态目标位置概念,并采用三次样条曲线作为智能车辆自动超车的路径拟合曲线。以模糊逻辑为控制策略,以T-S模糊模型为控制结构,以自适应神经网络为隶属度函数的参数调整手段,设计出一种智能车辆控制器,并通过simulink仿真实现。仿真结果表明:该研究是正确、可行的,较为理想地模拟实际交通环境中车辆超车的行为特性。

In order to simulate truthfully driver＇s behavior, focusing on intelligent vehicle autonomous overtaking, a dynamic target position concept was proposed and cubic spline curves as path fitting curves of car was employed An intelligent vehicle controller was designed by using the fuzzy logic as a control strategy, the T-S fuzzy model as its structure and an adaptive neural network as a means of adjusting membership function. The result of simulation based on Simulink shows that the research is correct and feasible, and can simulate well overtaking characteristic of vehicle in actual traffic situation.