GENETIC ALGORITHM BASED FOPID CONTROLLER FOR NANO-SATELLITE ATTITUDE CONTROL

Nano-satellites are very popular among researchers today because they more affordable and easier to use than most large satellites. The system performance on nano-satellites needs be improved for better by using fractional order PID (FOPID) controllers which have never been tested unstable systems nano-satellite objects. controller development produces two power parameters called the FOPID controller, makes it even attractive. genetic algorithm (GA) optimal computation value has proven is ITAE index. Based analysis of responses in a steady-state form overshoot, rise time settling three-axis stabilized attitude control, namely roll, pitch, yaw concluded that superior classic previously studied. effect an control shows good results based index method.