Adaptive Constant Pressure Control for the Influent Process of Municipal Wastewater Treatment
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摘要: 针对城市污水处理进水过程总管压力难以稳定控制, 导致污水处理过程运行不稳定的问题, 提出一种自适应恒压控制(Adaptive constant pressure control, ACPC)方法. 首先, 建立基于时滞特性的城市污水处理进水过程控制模型, 设计基于帕德逼近的等效变换模型, 动态补偿运行过程滞后的影响. 其次, 提出基于障碍李雅普诺夫函数的ACPC方法, 设计转移策略放宽初始总管压力对控制器约束, 保障进水过程在规定压力范围内运行. 然后, 提出神经网络自适应动态调整算法, 根据进水过程运行状态实时调整控制参数, 降低膜组器清洗操作导致的总管压力波动, 提升进水过程的稳定性. 最后, 给出控制器稳定性分析, 证明进水过程中所有变量是半全局最终有界的, 实现总管压力的稳定控制. 实验结果表明, 该方法能够保证城市污水处理进水过程稳定运行.
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关键词:
- 城市污水处理进水过程 /
- 帕德逼近方法 /
- 障碍李雅普诺夫函数 /
- 自适应恒压控制
Abstract: To address the problem that the main pipe pressure of the influent process in municipal wastewater treatment is difficult to be stably controlled, which leads to the unstable operation of the wastewater treatment process, an adaptive constant pressure control (ACPC) method is proposed. Firstly, a control model for the influent process of municipal wastewater treatment is established based on time-delay characteristics. A Pade approximation-based equivalent transformation model is designed to dynamically compensate for the influence caused by time-delay in the operation process. Secondly, a barrier Lyapunov function-based ACPC method is proposed, and a transfer strategy is designed to relieve the constraint imposed by the initial main pipe pressure on the controller. This ensures that the influent process operates within the specified pressure range. Then, a neural network-based adaptive dynamic adjustment algorithm is proposed to adjust control parameters in real time according to the operation status, reducing the main pipe pressure fluctuations caused by cleaning operations of the membrane module and improving the stability of the influent process. Finally, the stability analysis of the controller is provided, proving that all variables in the influent process are semi-globally ultimately bounded. This confirms the realization of stable control over the main pipe pressure. Simulation tests and practical verification results show that this method can ensure the stable operation of the influent process in municipal wastewater treatment. -
图 1 城市污水处理进水过程的ACPC框图
Fig. 1 Block diagram of ACPC for influent process in municipal wastewater treatment
图 3 进水总管压力跟踪控制误差结果
Fig. 3 The tracking control error results of influent pipe pressure
图 10 进水总管压力跟踪误差对比效果
Fig. 10 The comparison effect of the influent main pipe pressure tracking error
表 1 控制性能对比
Table 1 Comparison of the control performances
方法 IAE (kPa) ISE (kPa) MaxDev (kPa) ACPC 0.5359 0.5374 1.9265 PID 9.7240 2.8241 7.9069 
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