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要维持一个“健康”的开放式水系,使水深和水质都保持在其定值至关重要。应用实时控制时,水量和水质都必须满足控制目标值。以人工圩田潮红为例进行了研究。开发了模型预测控制(MPC)实施控制。此外,还使用“向前估计”程序,为MPC提供水质预测成果。在测试案例中,将其与传统控制(比例积分控制(PI))进行了比较。结果表明,两种算法都能够控制圩田潮红过程,但MPC在功能和控制灵活性方面更加优越。
It is important to maintain a “healthy” open water system that maintains both water depth and water quality. When applying real-time control, both water and water quality must meet the control target. The artificial polder flushing as an example was studied. Developed model predictive control (MPC) implementation control. In addition, the “forward estimate” program is also used to provide the MPC with water quality predictions. In the test case, it is compared with the traditional control (PI). The results show that both algorithms can control the polluting process, but MPC is more superior in function and control flexibility.