Abstract

Line-of-sight (LOS) stabilization systems form part of modern surveillance and fire control systems (FCSs). Conventional controller designs are dependent on the accuracy of the mathematical model of the plant, which usually ignore high order dynamics. Further, plants are linearized around the operating point. Although robust controllers can be designed to overcome uncertainties in plant parameters as well as nonlinearities, the resultant controller becomes complex for implementation. Fuzzy-knowledge-based controller (FKBC) design presents a good methodology to overcome above difficulties. A fuzzy control system is implemented to control inertial rate of LOS. We present the design and implementation aspects of this particular FKBC and the performance achieved with respect to the performance achieved using a conventional controller.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.