Aerospace launch vehicle control: an intelligent adaptive approach

A theoretical analysis of on-line autonomous intelligent adaptive tracking controller based on emotional learning model in mammalians brain (BELBIC) for aerospace launch vehicle is presented. The control algorithm is provided with some sensory inputs and reward signal, subsequently it autonomously seeks the proper control signal to be executed by actuators, thus eliminating tracking error without pre-knowledge of the plant dynamics. The algorithm is very robust and fast in adaptation with dynamical change in the plant, due to its on-line learning ability. Development and application of this algorithm for an aerospace launch vehicle during atmospheric flight in an experimental setting is presented to illustrate the performance of the control algorithm.

[1]  Lotfi A. Zadeh,et al.  Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..

[2]  John H. Blakelock,et al.  Automatic control of aircraft and missiles , 1965 .

[3]  Stewart W. Wilson,et al.  From Animals to Animats 5. Proceedings of the Fifth International Conference on Simulation of Adaptive Behavior , 1997 .

[4]  A. Damasio.  Descartes' error: emotion, reason, and the human brain. avon books , 1994 .

[5]  E. Rolls.  The orbitofrontal cortex and reward. , 2000, Cerebral cortex.

[6]  Caro Lucas,et al.  Introducing Belbic: Brain Emotional Learning Based Intelligent Controller , 2004, Intell. Autom. Soft Comput..

[7]  Rosalind W. Picard.  Affective Computing , 1997 .

[8]  Reza Langari,et al.  Fuzzy Control: Synthesis and Analysis , 2000 .

[9]  Anthony J. Calise,et al.  Nonlinear flight control using neural networks , 1994 .

[10]  Yih-Guang Leu,et al.  Robust adaptive fuzzy-neural controllers for uncertain nonlinear systems , 1999, IEEE Trans. Robotics Autom..

[11]  J. Morén,et al.  A computational model of emotional learning in the amygdala. , 2000 .

[12]  R. Mohammdi-Milasi,et al.  Speed control of an interior permanent magnet synchronous motor using belbic (brain emotional learning based intelligent controller) , 2004, Proceedings World Automation Congress, 2004..

[13]  A. Damasio,et al.  Emotion, decision making and the orbitofrontal cortex. , 2000, Cerebral cortex.

[14]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[15]  Liu Hsu,et al.  Adaptive Control of Missile Attitude , 1987 .

[16]  Philipp Slusallek,et al.  Introduction to real-time ray tracing , 2005, SIGGRAPH Courses.

[17]  Peter Young.  A second generation adaptive autostabilization system for airborne vehicles , 1981, Autom..