Title :
Design and Implementation of Adaptive Neural PID for Non Linear Dynamics in Mobile Robots
Author :
Rossomando, F.G. ; Soria, C.M.
Author_Institution :
Univ. Nac. de San Juan, San Juan, Argentina
Abstract :
In this work, it will be reported original results concerning the application of PID Adaptive Neural controller in mobile robot in trajectory tracking control. In this control strategy the exact dynamical model of the robot will not need to be known and identified. To implement this strategy, two controllers are implemented separately: a kinematic controller and an adaptive neural PID controller. The uncertainty and dynamics variations in the robot dynamic are compensated by an adaptive neural PID controller. The resulting adaptive neural PID controller is efficient and robust in the sense that it succeeds to achieve a good tracking performance. The stability of the proposed technique (based on Lyapunov´s theory) was demonstrated. Finally, experiments on a mobile robot have been developed to show the performance of the proposed technique, including the comparison with other controllers.
Keywords :
Lyapunov methods; adaptive control; control system synthesis; mobile robots; neurocontrollers; nonlinear dynamical systems; robot dynamics; robot kinematics; three-term control; trajectory control; Lyapunovs theory; PID adaptive neural controller; adaptive neural PID; adaptive neural PID controller; control strategy; kinematic controller; mobile robots; nonlinear dynamics; robot dynamic; trajectory tracking control; Adaptation models; Kinematics; MIMO; Mobile robots; Servomotors; Trajectory; MIMO system; Neural Networks; Nonlinear control; adaptive control;
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
DOI :
10.1109/TLA.2015.7106337