摘要
超声波传感器具有信息处理简单,价格低和硬件易实现及易实时控制等许多优势,它被广泛应用在各种距离测试的设备中,在工业方面具有很好的应用前景。在对超声波传感器的散射特性和镜面特性分析的基础上,提出了一种基于模糊理论的自适应超声波传感器模型。该模型通过引入矛盾因子,自动调整距离影响因子(RCF)的值,从而能很好地解决镜面反射所产生的不确定距离信息,准确描述出超声波传感器扇形范围内的障碍物位置。最后通过实验验证了该方法的有效性和实用性。
Ultrasonic sensors are simple,cheap,easy to achieve for hardware and real-time control.They are widely applied to the distance measurement equipments and have promising future for the industrial application.An adaptive ultrasonic sensor model was established based on the fuzzy set theory on the analysis of ultrasonic scattering and specular reflection characteristics.In this model,the contradiction factor was used to adjust the value of the range confidence factor(RCF) automatically,and the uncertain distance information of ultrasonic sensors caused by the specluar reflection was processed effectively,thus the obstacle position can be detected in the sector region of ultrasonic sensor.The efficiency and applicability of this method have been verified experimently.
出处
《压电与声光》
CSCD
北大核心
2010年第3期389-391,共3页
Piezoelectrics & Acoustooptics
基金
湖南省自然科学基金资助项目(06JJ50110)
湖南省教育厅科研基金资助项目(07C40307C400)
关键词
超声波传感器
模糊集
自适应算法
ultrasonic sensors
fuzzy sets
adaptive algorithms