Aerospace Instrument-Making Annotation << Back Formation of optimal control of rotational motion of a space vehicle based on Takagi-Sugeno model Chukanov S.N. Pershina E.L. The algorithm of fuzzy control system essentially nonlinear dynamic object is considered. For solving nonlinear optimal control problem is proposed to use the method of linear quadratic regulation (LQR) with fuzzy Takagi-Sugeno model, which allows to decompose the set of the state vector of the system into subsets, and form the basis of the rules for each subset. Consequence of each rule of the base that defines the control law and the law of optimal control is based on defuzzification consequences of the rule base. Fuzzy control is based on LQR control the parameters in each rule. The algorithm can be used for the design of deterministic optimal control of nonlinear objects. The algorithm of optimal control for controlling the rotational motion of a space vehicle is proposed. Key words: control system, rotational motion of a space vehicle, Takagi-Sugeno algorithm, fuzzy control system. Contacts: E-mail: ch_sn@mail.ru Pp. 31-37.