Title : 
Acceleration of parallel robot kinematic calculations in FPGA
         
        
            Author : 
Petko, Maciej ; Gac, Konrad ; Karpiel, Grzegorz ; Gora, Grzegorz
         
        
            Author_Institution : 
Dept. of Robot. & Mechatron., AGH Univ. of Sci. & Technol., Kraków, Poland
         
        
        
        
        
        
            Abstract : 
An application of field programmable gate arrays (FPGA) to accelerate calculations of the inverse kinematics problem solution for a parallel robot is presented in the paper. The robot is designed for milling by moving a milling cutter along a desired trajectory generated in the Cartesian space. For a position controller of the robot, each point of the trajectory must be transformed into the joint space by the solution of the inverse kinematics problem, thus must be calculated on-line at high frequency. The paper shows how to decrease the calculation time, preserving required accuracy, by augmenting the arithmetic-logic unit (ALU) of a microprocessor with custom instructions. The hardware implementation of the accelerator is described and results of calculations performed in an Altera FPGA chip are analyzed.
         
        
            Keywords : 
acceleration; control engineering computing; field programmable gate arrays; microprocessor chips; position control; robot kinematics; ALU; Altera FPGA chip; Cartesian space; acceleration; arithmetic-logic unit; custom instructions; field programmable gate arrays; hardware implementation; inverse kinematics problem solution; microprocessor; milling cutter; parallel robot; position controller; Field programmable gate arrays; Hardware; Kinematics; Microprocessors; Milling; Robots; Trajectory; FPGAs in industrial control systems; controller hardware/software; industrial robots;
         
        
        
        
            Conference_Titel : 
Industrial Technology (ICIT), 2013 IEEE International Conference on
         
        
            Conference_Location : 
Cape Town
         
        
            Print_ISBN : 
978-1-4673-4567-5
         
        
            Electronic_ISBN : 
978-1-4673-4568-2
         
        
        
            DOI : 
10.1109/ICIT.2013.6505644