Intelligent-Adaptive Flight Control with a Physiologically Motivated Algorithm

Abstract

This paper presents a new intelligent approach for adaptive control of non-linear dynamic systems. Based on past researches on emotionally intelligent-control systems, the introduced method is a modified version of Brain Emotional Learning Based Intelligent Controller (BELBIC), a physiologically motivated system previously developed and successfully used in control applications. The proposed approach is able to quickly respond to change in environmental and dynamic system and realizes online direct-adaptive-control scheme. Showing very good robustness, BELBIC is very simple in implementation and imposes very low computation load on the control system. This modified algorithm has been successfully applied to real-time longitudinal control of an agile air-to-air missile which has ever-changing non-linear dynamics.