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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2007.1
- 수록면
- 63 - 74 (12page)
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In this paper, a reconfigurable controller consisting of a normal controller and a standby controller is designed to control
the thermoelectric (TE) power in the SP-100 space reactor. The normal controller uses a model predictive control (MPC) method
where the future TE power is predicted by using support vector regression. A genetic algorithm that can effectively accomplish
multiple objectives is used to optimize the normal controller. The performance of the normal controller depends on the capability
of predicting the future TE power. Therefore, if the prediction performance is degraded, the proportional-integral (PI) controller
of the standby controller begins to work instead of the normal controller. Performance deterioration is detected by a sequential
probability ratio test (SPRT). A lumped parameter simulation model of the SP-100 nuclear space reactor is used to verify the
proposed reconfigurable controller. The results of numerical simulations to assess the performance of the proposed controller
show that the TE generator power level controlled by the proposed reconfigurable controller could track the target power level effectively, satisfying all control constraints. Furthermore, the normal controller is automatically switched to the standby controller when the performance of the normal controller degrades.
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