Abstract
Advancements in the field of artificial intelligence (AI) made during this decade have forever changed the way we look at automating spacecraft subsystems including the electrical power system. AI have been used to solve complicated practical problems in various areas and are becoming more and more popular nowadays. In this paper, a mathematical modeling and MATLAB–SIMULINK model for the different components of the spacecraft power system is presented. Also, a control system, which includes either the Neural Network Controller (NNC) or the Fuzzy Logic Controller (FLC) is developed for achieving the coordination between the components of spacecraft power system as well as control the energy flows. The performance of the spacecraft power system is evaluated by comparing two control systems using the NNC and the FLC.
Highlights
Provision of electrical power for space vehicles is the most fundamental requirement for the satellite payload
Artificial intelligence (AI) techniques are becoming useful as alternate approaches to conventional techniques or as components of integrated systems
A control system, which includes the Neural Network Controller (NNC) or the Fuzzy Logic Controller (FLC) controller is developed for achieving the coordination between the components of stand alone spacecraft power system as well as control the energy flows
Summary
Provision of electrical power for space vehicles is the most fundamental requirement for the satellite payload. Power system failure necessarily results in the loss of a space mission, and it is interesting to note that, many of the early satellite systems failed due to such a loss [1]. Development of artificial neural networks (ANN’s) and fuzzy logic theory have inspired new resources for possible implementation of better and more efficient control. Neither ANN’s nor fuzzy systems need mathematical modeling of the plants. Fuzzy control systems can be developed along with linguistic lines and need some expertise information about the plant. Before used for control purposes, ANN’s have to be trained and they need some information (not based on mathematical model but sometimes taken measurement from plant) about the plant. The performance of the global system has been studied using MATLAB – SIMULINK
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