Title :
PI/backstepping control of snake robot optimazed by Genetic Algorithm
Author :
Jafari, Mohsen ; Shahmansoorian, Aref
Author_Institution :
Dept. Of Control Eng., Islamic Azad Univ., Tehran, Iran
Abstract :
This paper describes the design of robust control of PI/Backstepping for the snake robot to control the joints motion. First, the stability of the method is proved and, by applying this controller to the robot, its motion pattern is controlled in a way that it can move and follow by mimicking the motion of real snakes on the predefined trajectories. Then, the control parameters is optimized using the Genetic Algorithm (GA). Comparing obtained results with sliding mode revealed that, the former has significantly reduced the tracking error and control energy; in addition there is no chattering phenomenon.
Keywords :
PI control; biomimetics; control system synthesis; genetic algorithms; mobile robots; motion control; robust control; PI control; backstepping control; genetic algorithm; joint motion control; robust control design; snake robot; Backstepping; Dynamics; Joints; Mobile robots; Robot kinematics; Trajectory; Control energy; Genetic Algorithm; PI/Backstepping Control; Snake robot;
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2014 IEEE 27th Canadian Conference on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4799-3099-9
DOI :
10.1109/CCECE.2014.6901044