An Assessment between Classical Fuzzy and Fuzzy Model Reference Learning Controller Design of Electro-Optical pointing and tracking System
Elnashar, G., Elbayoumi, T., Eldsoky, A., Hegazy, M. (2006). An Assessment between Classical Fuzzy and Fuzzy Model Reference Learning Controller Design of Electro-Optical pointing and tracking System. EKB Journal Management System, 5(5th International Conference on Electrical Engineering ICEENG 2006), 1-11. doi: 10.21608/iceeng.2006.33635
G. Elnashar; T. Elbayoumi; A. Eldsoky; M. Hegazy. "An Assessment between Classical Fuzzy and Fuzzy Model Reference Learning Controller Design of Electro-Optical pointing and tracking System". EKB Journal Management System, 5, 5th International Conference on Electrical Engineering ICEENG 2006, 2006, 1-11. doi: 10.21608/iceeng.2006.33635
Elnashar, G., Elbayoumi, T., Eldsoky, A., Hegazy, M. (2006). 'An Assessment between Classical Fuzzy and Fuzzy Model Reference Learning Controller Design of Electro-Optical pointing and tracking System', EKB Journal Management System, 5(5th International Conference on Electrical Engineering ICEENG 2006), pp. 1-11. doi: 10.21608/iceeng.2006.33635
Elnashar, G., Elbayoumi, T., Eldsoky, A., Hegazy, M. An Assessment between Classical Fuzzy and Fuzzy Model Reference Learning Controller Design of Electro-Optical pointing and tracking System. EKB Journal Management System, 2006; 5(5th International Conference on Electrical Engineering ICEENG 2006): 1-11. doi: 10.21608/iceeng.2006.33635

An Assessment between Classical Fuzzy and Fuzzy Model Reference Learning Controller Design of Electro-Optical pointing and tracking System

The International Conference on Electrical Engineering
Article 51, Volume 5, 5th International Conference on Electrical Engineering ICEENG 2006, May 2006, Page 1-11  XML PDF (213.87 K)
Document Type: Original Article
DOI: 10.21608/iceeng.2006.33635
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Authors
G. Elnashar; T. Elbayoumi; A. Eldsoky; M. Hegazy
Egyptian Armed Forces.
Abstract
ABSTRACT
Electro-optical pointing and tracking systems (EOPTS) have a wide range of military and
civilian applications. The passive line of sight (LOS) stabilization systems are multi-input
multi-output (MIMO) systems that are highly nonlinear and possess a strong coupling effect
between their states. it presents a challenging systems to control. In this paper the analysis of
the passive (EOPTS) stabilization system with the development of its nonlinear models is
derived. Two different types of control algorithms are presented. The first controller is a
classical fuzzy control. The controller presents a good technique that proves to be stable with
high transient and tracking performances. The controller is applied to the LOS stabilization
system and the simulation results are introduced. Next, A Model Reference Learning fuzzy
Controller less dependant on the designer knowledge of the LOS stabilization system is
proposed. Such controller possesses a learning mechanism that is able to form its rule-base by
watching the system behavior. The learning mechanism utilizes a reference model that
describes the desired performance. The designed process of the controller and simulation
results of implementing the controller to the system is introduced. Finally, comparative
analysis between the two developed controllers is conducted. It discusses the advantages and
disadvantages of each controller algorithm.
Keywords
Multi input multi output (MIMO); Fuzzy control; Fuzzy Model reference learning control (FMRLC); LOS stabilized system
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