Claim Missing Document
Check
Articles

Found 2 Documents
Search

Designing and Simulation for Vertical Moving Control of UAV System using PID, LQR and Fuzzy logic Mohamad Reza Rahimi; Saeide Hajighasemi; Davoud Sanaei
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 5: October 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (319.369 KB)

Abstract

This paper presents the designing and simulation for vertical moving controlof Unmanned Air Vehicles (UAV) system using Proportional IntegralDerivative (PID) control method, Linear Quadratic Regulator (LQR) controlmethod and fuzzy logic control technique.The UAV system pose a challengercontrol problem that in it precise model of system is non-linear. Theconventional PID controller, the LQR controller, Fuzzy Logic Controller(FLC) and Self-Tuning Fuzzy PID controller are designned based on thedynamic modeling of the system is derived from a suitable mathematicalmodel to describe the vertical motion of a UAV. Simulation results in Matlaband Simulink show that by using self-tuning Fuzzy PID, the performance ofvertical moving control system is improved significantly compared to Othercontrollers.DOI:http://dx.doi.org/10.11591/ijece.v3i5.3440
Design Controller for a Class of Nonlinear Pendulum Dynamical System Mohamad Reza Rahimi Khoygani; Reza Ghasemi; Davoud Sanaei
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 2, No 4: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (485.563 KB)

Abstract

Designing proportional integral derivative (PID), Linear Quadratic Regulator (LQR), Fuzzy Logic Controller (FLC) and Self-Tuning Fuzzy PID (STFP) controller is used for nonlinear pendulum dynamic system in this paper.The promising performance of the proposed controllers investigates in simulation. The effectiveness, robustness against noise and the comparison of the controller methods for Nonlinear Pendulum Dynamical System are delivered in this paper.DOI: http://dx.doi.org/10.11591/ij-ai.v2i4.4164