Title :
Basic steering control methods for the articulated body mobile robot
Author :
Hirose, Shigeo ; Fukushima, Edwardo F. ; Tsukagoshi, Shin-ichi
Author_Institution :
Dept. of Mech.-Aerosp. Eng., Tokyo Inst. of Technol., Japan
fDate :
2/1/1995 12:00:00 AM
Abstract :
This article investigates steering control methods for the articulated body mobile robot KORYU-II (KR-lI), a mechanical model composed of seven segments, with total length 3.3 m and total weight 330 kg. The objective is to generate joint commands for all the segments of KR-II, taking the velocity and direction of the foremost segment as input commands, which are provided from a remote human operator. Energy consumption and trajectory tracking performance are considered as criteria for evaluating the performance of the derived control algorithms. The computer simulations of the basic control methods of KRII´s Θ axis (bending motion between the segments) and s axis (rotation motion of the wheels) lead to the conclusion that the best methods are: the “Θ2 method” combined with the “Θ4 method” for the Θ axis, and the “s3 method” for the s axis. The “Θ2 method” takes the moving average value of the control angle Θ0, which is given from the operator to the foremost segment, over a traveled distance L (intersegment length) as the next segment command Θ1 and then shifts Θ1 to the following segments according to the moved distance. The “Θ4 method” entails setting a small position control gain for the Θ axis. The “s3 method” controls the forward velocity of the robot by equally distributed torque commands for all wheels
Keywords :
adaptive control; mobile robots; position control; velocity control; Θ2 method; KORYU-II; THETA/4 method; articulated body mobile robot; basic steering control methods; bending motion; computer simulations; energy consumption; joint commands; mechanical model; moving average value; remote human operator; rotation motion; s3 method; small position control gain; trajectory tracking; Biological system modeling; Computer simulation; Energy consumption; Humans; Joints; Mobile robots; Motion control; Position control; Trajectory; Wheels;
Journal_Title :
Control Systems, IEEE