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本文联合运用微分动态规划及最小值原理研究了核电站变负荷过程中氙毒的最佳控制问题。结果表明:采用本文所述方法后,较好地解决了非线性两点边值问题(TPBVP)求解迭代过程中容易产生的发散问题。在保证相同精度的条件下,与单纯采用微分动态规划相比较,扩大了优化计算的收敛范围,加快了收敛速度,缩短了计算时间。
In this paper, the differential dynamic programming and the minimum principle are used to study the optimal control of xenon poisoning in nuclear power plant during variable load. The results show that the proposed method solves the problem of divergence easily generated in the iterative process of nonlinear two-point boundary value problems (TPBVP). Under the condition of ensuring the same precision, compared with simply using differential dynamic programming, the convergence range of optimization calculation is expanded, the convergence speed is quicken and the calculation time is shortened.