Classical and Intelligent Multivariable Controllers for Aerosonde UAV

Abstract

In this treatise four control methods were proposed for Aerosonde UAV in both lateral and longitudinal trajectory. Two classical and two intelligent control techniques are used. The four methods are proposed to improve the autopilot response of Aerosonde. The strength and durability of the autopilot system to incomplete model (knowledge), the repudiation of wind disorder, and handle with effect of sensor's noise are theorize as essential section for Comparison analysis of the various control technicality. The 1st classical autopilot, the PID genetically tuned is proposed. Fractional order PID (FOPID) is considered as the 2nd classical control autopilot. Fuzzy controller is suggested as the 1st intelligent control technique. The 2nd intelligent control technique is adaptive neuro fuzzy inference system controller. The proposed controllers are utilized to the nonlinear and MIMO UAV model. The main substantial in this paper is stratify FOPID controller for the first time on UAV's. The comparison simulation consequence affirms the influence of this controllers in different scenario and also the effective of the ANFIS controller over the other controllers.