Design of fractional order PID and ANN controller for Boeing 747-400 air craft pitch control

This is a comparative study of pitch control of Boeing 747-400 in time domain performances. The combinations of disturbance, open loop unstable and nonlinear dynamics are major problems in an aircraft. This paper investigated the control mechanism of pitch angle control of Boeing 747-400 with small disturbance theory linearization methods and Artificial Neural Network (ANN) based non-linear controllers. Fractional Order Proportional Integral Derivative (FOPID) controller has two more parameters as compared with PID. The time domain performance parameters are compared with PID, FOPID and ANN controller for pitch control of air craft Boeing 747-400. The simulation results are presented for comparative analysis.