Fuzzy-PID Controller of robotic grinding force servo system

When a robot is used to grind or finish a curved surface ,as marine propeller surface, both contact force and feed movement must controlled at the similar time in order that the grinding tool would machine the work-piece, with  required  force, at  the  right  position  in  right  posture. A compliant wrist system  is advanced, in  this  paper, to conform the shape of the machining propeller by altering its posture along with the surface. Grinding force is controlled under a simple new Fuzzy-PID controller with five input variables which assembled and compared with an antecedently used PID controller. The aim of defining the rules and its optimization are to achieve a controller that provides grinding with higher quality. Both the controllers PID and Fuzzy-PID have been optimized together with the parameters of the Two-Phase Hybrid Stepping Motor The Fuzzy-PID controller  policy at a steady value in the normal direction of the mentioned machining point by multi-point machining, while the grinding tool moving along the curved surface of the propeller. It means that the model of the compliant wrist system and the surroundings could be used in force controlling when robots grind marine propeller surface by a grinding tool with multi-point machining. DOI:  http://dx.doi.org/10.11591/telkomnika.v15i1.8051

[1]  John N. Chiasson,et al.  High-speed parameter estimation of stepper motors , 1993, IEEE Trans. Control. Syst. Technol..

[2]  Shi Jingzhuo,et al.  Fuzzy PID Speed Control of Two Phase Ultrasonic Motor , 2014 .

[3]  Paulo Abreu,et al.  Pneumatic Driven Device for Integration into Robotic Finishing Applications , 2013 .

[4]  Terje Kristoffer Lien,et al.  Robot control system for grinding of large hydro power turbines , 2001 .

[5]  Vijay Singh,et al.  Tuning of PID Controller for Speed Control of DC Motor Using Soft Computing Techniques – A Review , 2014 .

[6]  S. Sujitjorn,et al.  Input weighting optimization for PID controllers based on the adaptive tabu search , 2004, 2004 IEEE Region 10 Conference TENCON 2004..

[7]  M. Kushwah,et al.  Tuning PID Controller for Speed Control of DC Motor Using Soft Computing Techniques-A Review , 2014 .

[8]  Wang Yeqin Direct Drive Electro-hydraulic Servo Control System Design with Self-Tuning Fuzzy PID Controller , 2013 .

[9]  Yangsheng Xu,et al.  Control Software of Robot Compliant Wrist System , 1990 .

[10]  Bin Lin,et al.  Experimental studies on grinding forces and force ratio of the unsteady-state grinding technique , 2002 .

[11]  Sawsan Morkos Gharghory,et al.  Modified PSO for Optimal Tuning of Fuzzy PID Controller , 2013 .

[12]  Shao Zhang,et al.  A Novel Axial Flux Permanent-Magnet Machine for Flywheel Energy Storage System: Design and Analysis , 2011, IEEE Transactions on Industrial Electronics.

[13]  Rosario Toscano,et al.  Robust synthesis of a PID controller by uncertain multimodel approach , 2007, Inf. Sci..

[14]  Kozo Ono,et al.  Force controlled robot for grinding , 1990, EEE International Workshop on Intelligent Robots and Systems, Towards a New Frontier of Applications.