Title :
Observer-based adaptive fuzzy sliding-mode controller design for missile autopilot systems
Author :
Yeh, Fu-Kuang ; Huang, Jian-Ji ; Wang, C.C.
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Chung Chou Univ. of Sci. & Technol., Changhua, Taiwan
Abstract :
In this paper, an adaptive fuzzy sliding-mode controller with an observer for missile autopilot systems is proposed with actuators, mainly consisting of the thrust vector control and the rolling torque control system, for the task of intercepting a theater ballistic missile. Considering states unknown and disturbances, the autopilot system stability and convergence are analyzed and demonstrated. Here, the sliding-mode, the fuzzy inference mechanism, and the adaptive algorithm and a switching surface are used to design the autopilot system controller with an observer to eliminate the necessity of measuring angular velocity, where the observer-based fuzzy sliding-mode controller is used to estimate the upper bound of disturbances, and the observer-based adaptive fuzzy sliding-mode controller with center adaption of membership functions is used to estimate the optimal bound of disturbances, respectively. Finally, the stability of the overall system is analyzed thoroughly via Lyapunov stability theory and Barbalat´s lemma to achieve controller design for missile autopilot systems. Furthermore, extensive simulation results are conducted to validate the effectiveness of the proposed autopilot system.
Keywords :
Lyapunov methods; actuators; adaptive control; control system synthesis; fuzzy control; inference mechanisms; missile control; observers; torque control; variable structure systems; vectors; Barbalat lemma; Lyapunov stability theory; actuators; adaptive algorithm; adaptive fuzzy sliding-mode controller design; autopilot system stability; fuzzy inference mechanism; missile autopilot systems; observer; rolling torque control; thrust vector control; Attitude control; Mathematical model; Missiles; Observers; Quaternions; Torque; Upper bound; adaptive control; autopilot system; fuzzy inference mechanism; observer based; sliding mode;
Conference_Titel :
SICE Annual Conference (SICE), 2012 Proceedings of
Conference_Location :
Akita
Print_ISBN :
978-1-4673-2259-1