Construction of Highfailurestable Spacecraft Control System with Apply to Adaptive Logic in Diagnostic and Testing Algorithms

Different approaches to problem of improving onboard spacecraft control system failurestable on base principles of analytical excess, optimization and reconfiguration with using probability index and adaptive logic in diagnostic and testing algorithms are considered. One of problem is synthesis of spacecraft control system algorithms with incomplete apriory and distorted current information, action of uncontrolled and random factors, equipment failures and signal loss in information channel. Ways of failure diagnostic are examinated, in particular, problem excluding of failures sensors and power drives. Onboard attitude control system is synthesized and control algorithms are chosen, which guarantee robust stability and failure stability in presence indignant factors. Questions of onboard spacecraft control system failurestable improving are discussed on base reconfiguration with apply to adaptive logic in diagnostic and testing algorithms. The features of simulation are described on instrumental structure and operational modes of the attitude control system, the methods of dynamic research and computer simulation utilized during designing are indicated. Onboard complex control algorithms, diagnostic and reconfiguration are proposed for navigation, communication, geodesy satellites and earth inspectoral vehicles with prolonged utilization (more 10 years) in space flight conditions. Testing system have to decide two problem: discovering and eliminating faults. The mathematical system model is researching with implementation of analytic reserving. Difference signals are formed, which arise at fault appearance. The failure character is established by deciding rules on base difference signals and measures to it eliminating are took. The adaptive approach to development testing and diagnostic systems provide for realization of flexible logic of control system function to take into account factual onboard equipment state. The effectiveness of prepositional approaches and algorithms is confirmed by mathematical modeling results for several actual technical systems. Recommendations to their practical applications are gave.