Design of Optimal PID, Fuzzy and New Fuzzy-PID Controller for CANSAT Carrier System Thrust Vector

In this paper, multi-objective optimization based on Genetic Algorithm is used to find the desired values of three controllers of PID, fuzzy and Fuzzy-PID applying for a thrust vector control of CANSAT carrier system. Motion vector control is considered according to the dynamic governing equation of system and delivering payload into the specific height and flight path angle. The cost functions of the system are position error from the set point and deviation of the vector angle of carrier system with carrier body. These cost functions must be minimized simultaneously. Results show that Fuzzy-PID controller is superior to other controllers which are exerted in the thrust vector control of a CANSAT carrier system.