Research on Robotic Compliance Control for Ultrasonic Strengthening of Aviation Blade Surface

被引:0
|
作者
Fang, Shanxiang [1 ,2 ]
Du, Yao [3 ]
Zhang, Yong [1 ]
Meng, Fanbo [4 ]
Ang Jr, Marcelo H. H. [2 ]
机构
[1] Peng Cheng Lab, Dept Math & Theory, Shenzhen 518055, Peoples R China
[2] Natl Univ Singapore, Dept Mech Engn, Singapore 117575, Singapore
[3] Univ Bourgogne Franche Comte, VIBOT ImViA, IUT, 9 Ave Alain Savary,BP 47870, F-21078 Dijon, France
[4] Xidian Univ, Sch Mechanoelect Engn, Xian 710071, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
industry robot; compliance control; neural network fuzzy PID control; ultrasonic strengthening; aviation blade surface; NEURAL-NETWORK; MANIPULATORS;
D O I
10.3390/mi14040730
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In order to satisfy the requirement of the automatic ultrasonic strengthening of an aviation blade surface, this paper puts forward a robotic compliance control strategy of contact force for ultrasonic surface strengthening. By building the force/position control method for robotic ultrasonic surface strengthening., the compliant output of the contact force is achieved by using the robot's end-effector (compliant force control device). Based on the control model of the end-effector obtained from experimental determination, a fuzzy neural network PID control is used to optimize the compliance control system, which improves the adjustment accuracy and tracking performance of the system. An experimental platform is built to verify the effectiveness and feasibility of the compliance control strategy for the robotic ultrasonic strengthening of an aviation blade surface. The results demonstrate that the proposed method maintains the compliant contact between the ultrasonic strengthening tool and the blade surface under multi-impact and vibration conditions.
引用
收藏
页数:17
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