基于T-S模糊神经网络的智能轮椅避障控制策略

Obstacle avoidance strategy for Intelligent Wheelchair based on T-S fuzzy neural network

摘要:

在复杂的环境中,智能轮椅的自主避障是安全的保证。本文提出基于超声波和激光传感器的环境深度分区算法,和T-S模糊神经网路的信息融合方法,实现避障策略。提高了智能轮椅控制系统的实时性和安全性,实现避障控制的高效性。

Abstract:

In a complex environment,autonomous obstacle avoidance of intelligent wheelchair is the guarantee of safety. In this paper, environment depth partition algorithm based on ultrasonic and laser sensor and information fusion method based on T-s fuzzy neural network are adopted to Implement obstacle avoidance. improving the real-time and security of the intelligent wheelchair control system and the efficiency of obstacle avoidance strategy .