地暖系统的量子遗传约束广义预测控制

摘要

The floor radiation heating system features large inertia, uncertain parameters and exterior random interference, for this, the constraint generalized predictive control (GPC) method based on quantum genetic algorithm (QGA) is proposed. With this method, the control increment of GPC is used as the gene of quantum chromosomes, and to be optimized through the quantum rotating gate and the diversity of group is expanded by the quantum rotating gate. The experiments indicate that comparing with conventional generalized predictive control, this method possesses excellent control effects and higher robustness.%针对地板辐射采暖系统具有大惯性、参数不确定和外部随机干扰等特点,提出了一种基于量子遗传算法(QGA)的约束广义预测控制(GPC)方法.该方法将GPC的控制增量作为量子染色体的基因,通过量子旋转门扩展种群多样性,并滚动优化GPC的控制增量△u(k).试验表明,与常规广义预测控制相比,该控制方法具有良好的控制效果和更强的鲁棒性.