TY - JOUR ID - 51620 TI - Intelligent Auto pilot Design for a Nonlinear Model of an Autonomous Helicopter by Adaptive Emotional Approach JO - Journal of Aerospace Science and Technology JA - JAST LA - en SN - 1735-2134 AU - Mokhtari, Abolfazl AU - Nikkhah, A.A. AU - Sabze Parvar, Mahdi AU - Novinzadeh, A.R. AD - Y1 - 2012 PY - 2012 VL - 9 IS - 2 SP - EP - KW - Model Helicopter KW - Nonlinear Model KW - PID Controller KW - BELBIC DO - N2 - There is a growing interest in the modeling and control of model helicopters using nonlinear dynamic models and nonlinear control. Application of a new intelligent control approach called Brain Emotional Learning Based Intelligent Controller (BELBIC) to design autopilot for an autonomous helicopter is addressed in this paper. This controller is applied to a nonlinear model of a helicopter. This methodology has been previously proved to present robust characteristics against disturbances and uncertainties existing in the system. The simulation results of this controller has compared with a PID controller. The policies for PID and BELBIC controller are the same. The controller design goal is that the helicopter tracks a special maneuver to reach the commanded height and heading. The performance of the controllers is also evaluated for robustness against perturbations with inserting a high frequency disturbance. Simulation results show a desirable performance in both tracking and improved control signal by using BELBIC controller. UR - https://jast.ias.ir/article_51620.html L1 - https://jast.ias.ir/article_51620_ff0a258befba0c3897e6bc31c5d83abe.pdf ER -