Yuri V. Kim

By Yuri V. Kim

This chapter provides introductory material to satellite control system (SCS). It is based on the author’s experience, who has been working in areas of SCS development, including designing, testing, operating of real SCS, as well as reviewing and overseeing various SCS projects. It briefly presents SCS generic futures and functional principles: tasks, architecture, basic components and algorithms, operational modes, simulation and testing. The chapter is divided into two parts, namely, Part I: SCS Architecture and Main Components and Part II: SCS Simulation, Control Modes, Power, Interface and Testing. This chapter focuses on Part I. Part II will be presented as a separate chapter in this book.

Part of the book: Satellite Systems

By Yuri V. Kim

This part II of the chapter Satellite Control System (SCS) was originally planned for publishing in the book Satellite Systems (Acad. Ed. Dr. T. Nguyen), dedicated to the Systems Design, Modeling, Simulation, and Analysis, together with the Part I (SCS Architecture and Main Components). However, restricted volume of this book did not let the publisher to put then this part in the book. The book Recent Applications in Remote Sensing (Acad. Ed. Prof. M. Marhgany) considers the various aspects of the optical and radiolocation sensing and imaging of the Earth surface from Space. Consequently, as it was presented in the Part I, the author adheres to the point of view here that satellite is not just a platform to carry in Space a payload, but is equipment integration system and its designer is in charge for fully integrated and Space-qualified Space segment, which with the corresponding operation and ground equipment would be capable to successfully execute dedicated mission (Remote Sensing). The material, presented in this part, briefly highlights the basic aspects of SCS control modes, electric and informational interface, and ground testing, which would promote successful interaction with satellite payload, such as Remote Sensing subsystem and mission success.

Part of the book: Recent Remote Sensing Sensor Applications

By Yuri V. Kim

This chapter discusses using the Kalman Filter (KF) for the analytical design in such engineering applications, as a closed loop control system, which often can be considered as time-invariant and linear (LTI). The chapter discuses designing a navigation accelerometer with the electric spring. This is a typical example of the closed loop, negative feedback control. Two approaches are used: A-conventional, empirical and B-analytical with KF. The consideration of both of them opens a comprehensive understanding of the system dynamics and its potentials. The discussion is based on the suboptimal form of the KF-Filter with Bounded Growth of Memory (FBGM), proposed by the author.

Part of the book: Kalman Filter