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

机译:基于分层模糊控制器的车辆避障算法研究

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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:由于输入和输出变量太多,单个模糊控制器的避障无法将模糊规则进行详细划分,避障路径不畅,模糊规则的数量随模糊输入的增加而呈指数增长。 。因此,为了满足实时控制的要求,有必要使用分层模糊控制器。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避障。

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