Optimal Control of an Unmanned Aerial Vehicle Using Fuzzy- Genetic Algorithm Controller

Identification and analysis of geographic and climatic conditions for scientific researches and strategic studies is one of the main issues in countries. Nowadays¡ the use of Unmanned Aerial Vehicle because of its safety and high performance has been widely used in many countries. Exact action of this system leads to obtain accurate data and thereby achieve critical information. Therefore¡ an appropriate control system and perfect control of the drone is important. In this paper¡ an intelligent control using Fuzzy- Genetic Algorithm is presented on longitudinal flight dynamics of an Unmanned Aerial Vehicle. In this approach¡ all the membership functions and fuzzy rules are extracted from genetic algorithm method to minimize the over shoot and the steady-state error of the system.Finally¡ an example is illustrated to compare the proposed method with the classical PID controller.