Title :
Fuzzy Logic Control for video terminally guided system
Author :
Galal, Mohamed ; Jianyu Wang
Author_Institution :
Autom. Sch., Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
High precision control is desirable for future weapon systems. Numerous control design methodologies are developed for a real-time automatic system capable of tracking two-dimensional (2-D) targets in complex scenes. The design objective of the control system is to achieve a rapid and precise response capable of tracking the fire control commands under the influences of disturbances, nonlinearities, and modeling uncertainties. A mathematical model of 2-D image spatial and temporal evolution applicable to certain classes of targets and target perturbations is developed. A Fuzzy Logic Controller (FLC) scheme is proposed to control the multi-body, multi-input and multi output nonlinear systems with joints represented by a turret-barrel model which consists of two subsystems: two motors driving two loads (turret and barrel) coupled by nonlinear dynamics. Simulation results verify the desired system tracking performance. Then, as a verification and demonstration, the designed FLC is implemented into a PICC microcontroller to control a Dc motor.
Keywords :
DC motors; MIMO systems; command and control systems; control nonlinearities; control system synthesis; fuzzy control; microcontrollers; nonlinear dynamical systems; precision engineering; target tracking; weapons; 2D image spatial evolution; 2D image temporal evolution; DC motor control; FLC scheme; PICC microcontroller; control design methodologies; fire control commands; fuzzy logic controller scheme; high precision control; mathematical model; modeling uncertainties; multibody multiinput multioutput nonlinear systems; nonlinear dynamics; real-time automatic system; target perturbations; turret-barrel model; two-dimensional target tracking; video terminally guided system; weapon systems; Conferences; Control systems; DC motors; Equations; Fuzzy logic; Mathematical model; Niobium; FLC implementation; FLC rule modification; fuzzy logic control; multi-input and multi output; nonlinear system;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6895710