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The study of obstacle avoidance algorithm for vehicles based on hierarchical fuzzy controller

机译:基于等级模糊控制器的车辆障碍避免算法研究

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Due to so many input and output variables, the obstacle avoidance with the single fuzzy controller can't have the fuzzy rules divided in detail, the route of obstacle avoidance is not smooth and the number of fuzzy rules increase exponentially with the increase of fuzzy input. Therefore, in order to meet the requirements of real-time control, it is necessary to use hierarchical fuzzy controller. Because the number of fuzzy rules is only linear growth rather than exponential growth. The simulation results show that this algorithm can complete the vehicle autonomous obstacle avoidance in a short time.
机译:由于如此多的输入和输出变量,使用单个模糊控制器的避免避免不能详细划分模糊规则,避免障碍物的路线并不顺利,模糊规则的数量随着模糊输入的增加而呈指数级增长。因此,为了满足实时控制的要求,有必要使用分级模糊控制器。因为模糊规则的数量只是线性增长而不是指数增长。仿真结果表明,该算法可以在短时间内完成车辆自主障碍避免。

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