制御型生態系生命維持システムの物質循環制御のための階層型制御システムの提案

抄録

    The purpose of a Controlled Ecological Life Support System (CELSS) is to achieve life support in the extreme environment through the regeneration and circulation of materials. Along with scale expansion of a space habitat, the size of the CELSS will be also expanded. Therefore, the CELSS must be able to deal with system modifications in a flexible way. But so far, there is no procedure that ensures both the expandability and the stability of the overall system control. In this paper, to ensure both abilities, I propose a new hierarchical autonomous control procedure based on automatic scheduling and multi-agent learning control methods. To ensure the stability of control, an overall CELSS circulation control, called upper-layer control, was planned by the Lagrangian decomposition and coordination method. The elements in the subsystems were controlled by the multi-agent learning method that could easily to deal with system modification, to achieve the control plan constructed by the automatic scheduling method. I simulated material circulation with system modification, such as the addition of tanks, processors, and habitation and plantation modules to check the procedure’s expandability and control stability. As a result, the upper-layer control system responded well to the expansion of the CELSS by re-scheduling. An appropriate response to the updated system was also observed in each subsystem. Guaranteeing effective overall control of the CELSS, with a flexible response to system modifications was demonstrated to be possible, which had been difficult under a decentralized autonomous control scheme alone.