Design of a Fractional-order PID controller and a Commen PID controller with Experimental Evaluation of them on Performance of Attitude Control of a quadrotor

The purpose of this paper is to design a fractional order PID (FOPID) controller base on stochastic algorithms for attitude control of quadrotor. The model is based on usage of Fractional calculus in the PID Controllers which can provide novel and higher performance extension for FOPID controllers. Here, the main goal is to design an optimal PID and FOPID controller using stochastic algorithms. Therefor two stochastic algorithms are used for optimal tuning of FOPID parameters. Genetic Algorithm (GA) and Particle Swarm Optimization are compared in minimizing the performance criteria formula which leads to a better performance in controlling of the plant. A quadrotor is installed on an experimental test stand includes of accelerometers, gyroscopes and microcontroller with one and three degrees of freedom to test the performance of PID controller. Kalman filter is used to reduce the noises by combination of accelerometer and gyroscope output. The result of the experiments in the paper shows that the quadrotor can perform desired motions successfully with the controller in the response of step input and while it is subjected to external disturbances