10 research outputs found

    Design of Supervisory Controller by Incorporating Dynamic Model into PCA

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    提出了一种新的监督控制器设计方法。利用降价的简化动态模型,通过在线仿真计算得到数据阵,然后把它们结合到PCA模型中,形成了组合动态模型与PCA模型的监督控制器设计。通过两个仿真实例表明,新方法改进了基本PCA监督控制器存在的问题,能适应不可建模扰动的影响

    Modeling and Control of Sequencing Batch Reactors for Wastewater Treatment Processes

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    近年来采用序批式反应器工艺进行生化污水处理的研究日益受到关注 .在工艺流程设计、模型建立、操作优化、控制器设计等都取得大量的成果 .本文综述了这个领域一些最新的、与未来应用有关的研究进展

    Modelling and Simulation of Integrated Urban Wastewater System

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    城市排污系统由排水管网、污水处理厂和受纳河流三部分组成。评价整个系统的性能以及建立实现可持续与有效管理的控制策略都需要将系统集成为一个整体模型。集成建模是一项复杂的任务,这不仅因为模型的庞大,还因为由于历史上各子系统的建模方法与建模目的不同所造成子系统模型在状态变量、过程等方面的不匹配.选择合适的基于ASM的各子系统模型,通过模型连接器实现不同子系统模型状态变量的相互转化,建立一个集成城市污水系统模型,可以实现集成城市污水系统的并行仿真

    Software Development for Simulating Biological Wastewater Treatment Processes

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    基于国际水协会工作组发布的有关文件,构造了典型污水生化处理过程仿真的软件平台。所开发的软件不仅能够模拟脱碳、硝化脱氮、反硝化脱氮和脱氮除磷四种典型污水生化处理工艺过程的动态特性,也能够评价各种复杂先进控制策略的实施效果以及用于教育培训等。通过在不同气象输入条件下,仿真上述四种工艺配置以及在反硝化脱氮工艺控制评价上的应用等工作,表明了这个仿真系统的性能和有效性

    Review on research progress in process control

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    随着新材料、新工艺的不断涌现,对反馈控制系统性能的要求更加严格和精确,在过程控制领域出现了许多新的挑战性研究问题.首先综述了非线性分布参数过程(例如材料微结构、颗粒分布、流体流动)的控制、生物系统与生物医学过程的分析与控制、城市污水处理集成监控系统等的最新研究进展以及一些未来的研究方向.其次讨论了解决复杂控制问题所需的一些方法和集成工具,主要包括过程系统工程理论和方法、集成物理装置与通讯网络的控制系统组成等.最后指出了目前控制应用相对薄弱的领域是控制理论与工程界关注的重点

    基于2-D系统理论的变初始条件离散系统的迭代学习控制

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    Iterative learning control (ILC) is a simple and effective method for the control of systems that perform same task repetitively. For real-time implementation, all ILC schemes have to be designed in the discrete-time domain. The initial state problem is very important in learning control. A closed-loop iterative learning controller is developed based on two-dimension (2-D) discrete system for the application of discrete-time system with variable initial states. The sufficient and necessary conditions guaranteeing the convergence of the proposed iterative learning control scheme is proved based on 2-D system theory. Some simulation results are given to demonstrate the control scheme

    Respirometry Estimations Based Monitoring of Biological Wastewater Treatment Processes

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    A method is presented to monitor wastewater treatment processes by incorporating multivariable principal component analysis (PCA) with the knowledge of respirometry estimations. Respirometry is the measurement of an activated sludge respiration which reflects the oxygen rate consumed by biomass, and can be estimated from dissolved oxygen concentrations. Because dissolved oxygen concentrations which are available at most plants have the quick response time and easy maintenance, respirometry estimations based monitoring strategy has advantages for the fault detection. The improvement of some fault detection indexes are demonstrated through IWA’s Benchmark simulations

    Integrated modelling and simulation of the urban wastewater system

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    The sewer system and the wastewater treatment plant have a major impact on the river water quality of urban streams. To minimize this impact, real time control is a valuable option. However, a simultaneously simulating model of the complete system is needed in order to allow design and evaluation of such control strategies. Integrated modelling of the urban wastewater systems is a complex exercise. An integrated model for simulating the behavior of the urban wastewater system has been developed in this paper by selecting appropriate ASM-based sub-models for the three subsystems. It focuses on the river water quality and can handle fluxes of substances within the urban wastewater system. The performances and effectiveness are demonstrated by simulating various scenarios

    Performance Improvement of Microbial Fuel Cells by Lactic Acid Bacteria and Anode Modification

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    Indium Tin Oxide (ITO) conductive glass was modified by layer-by-layer modification of chitosan (CS) and alpha-Fe2O3 nanoparticles. Lactic acid bacteria were the source of electrons in the studied microbial fuel cells (MFCs) system. When ITO/(CS/alpha-Fe2O3)(4)/CS was the anode, external resistance was 626.6 Omega, while maximum current and maximum power density were 1.16mA and 0.122W/m(2), respectively. These values were far higher than already reported results. Atomic force microscope image proved that ITO/(CS/alpha-Fe2O3)(4)/CS surface was rougher than blank ITO and ITO/(CS/alpha-Fe2O3)(8)/CS surfaces, which enable it to have a higher specific surface area for the microbes to grow. For ITO/(CS/alpha-Fe2O3)(4)/CS, physical properties played a leading role, while the chemical properties mainly determined the surface morphology of ITO/(CS/alpha-Fe2O3)(8)/CS. Lactic acid bacteria in fermentation waste could improve the current of MFCs. Layer-by-layer assembly of CS/alpha-Fe2O3 could significantly improve the performance of MFCs

    基于区间观测器的河流水质监测

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    The high nonlinearity,time-variability and uncertainty in river systems as well as the problems of high cost and low reliability caused by on-line sensors make it inconvenient to implement online sensors for monitoring fiver water quality.An
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