Speaker
Prof.
María Victoria Lapuerta González
(Technical University of Madrid)
Description
In this talk we show that the use of intelligent control systems based on fuzzy logic is a great advantage over conventional control systems currently being used in satellite attitude control, and open new possibilities of application of intelligent controllers in the field of space technologies. In order to develop and introduce intelligent systems in the space field, we have designed an adaptive fuzzy logic controller for a nanosatellite Attitude Determination and Control Subsystem (ADCS) and we have compared its performance and efficiency with a traditional Proportional Integrative Derivative (PID) controller. Fuzzy controllers have already been studied for satellite attitude control; however their performance has not been compared before with a classical PID controller typically being implemented on board spacecraft nowadays. In a first step, we have designed and implemented both controllers in order to test them on board a nanosatellite in the QB50 mission. Due to the requirements imposed by the payload, the orbit, and the significant power limitations in these small spacecraft, an efficient ADCS is required in order to fulfill the mission objectives. In a second step we have optimized numerically both controllers by using a genetic algorithm and we have compared the efficiency of the optimized controllers.
Primary author
Prof.
María Victoria Lapuerta González
(Technical University of Madrid)
Co-authors
Dr
Daniel Calvo
(E-USOC)
Mr
Álvaro Bello
(Universidad Politécnica de Madrid)
Mr
Ástor del Castañedo
(Technical University of Madrid)
