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Hybrid drive intelligent evaluation control method for sewage treatment system

A sewage treatment system, hybrid drive technology, applied in general control systems, adaptive control, control/regulation systems, etc.

Active Publication Date: 2020-07-03
BEIJING UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The present invention considers the ideas based on data and events at the same time, and provides a novel hybrid drive iterative self-adaptive evaluation control method to solve the problem of intelligent optimal control of a type of sewage treatment system

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  • Hybrid drive intelligent evaluation control method for sewage treatment system
  • Hybrid drive intelligent evaluation control method for sewage treatment system
  • Hybrid drive intelligent evaluation control method for sewage treatment system

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Embodiment Construction

[0014] The invention proposes a mixed-drive iterative self-adaptive evaluation control method for sewage treatment, which is used for solving the approximate optimal control problem of discrete-time nonlinear dynamic systems. Here, a simple schematic diagram of hybrid drive control design is shown as figure 1 As shown, it mainly includes data-driven learning of complex dynamic systems and event-driven design in network environment. This is a new discrete-time hybrid driving framework, and incorporates the idea of ​​iterative adaptive evaluation algorithm. That is, combining neural dynamic programming techniques with a hybrid drive framework does not require known plant dynamics information and significantly reduces the number of control signal updates when dealing with near-optimal regulation problems. In short, in the overall control design process, data resources and communication resources have been optimized.

[0015] Effective treatment of sewage is an important way to ...

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Abstract

The invention provides a hybrid drive intelligent evaluation control method for a sewage treatment system. The thought based on data and events are considered, and a novel hybrid drive iterative self-adaptive evaluation control design is used to solve the intelligent optimization control problem of one type of sewage treatment system. A neural dynamic programming technology is combined with an iterative adaptive evaluation framework, and under a data-driven learning mechanism, the dynamic information requirement of an optimization control design process on a controlled object is reduced. Meanwhile, a reasonable event-driven threshold value is designed, so that the control signal is updated when a proper condition is met, and the control efficiency of the complex dynamic system is practically improved. By adopting the hybrid drive intelligent judgment control method provided by the invention, the dissolved oxygen concentration and the nitrate nitrogen concentration can reach expected values, and the control efficiency of the whole system is remarkably improved.

Description

technical field [0001] The invention belongs to the technical field of sewage treatment, and in particular relates to a hybrid drive intelligent judgment control method for a sewage treatment system. Background technique [0002] The shortage of water resources has become one of the outstanding problems restricting the sustainable development of the global economy and society. my country's per capita water resources are relatively poor, only a quarter of the world's average water, and the distribution of water resources is uneven. Due to the increasingly serious shortage of water resources, vigorously developing advanced automation technology for sewage treatment and realizing the recycling of water resources is of great significance to the sustainable development of my country's economy and society. However, the environment of sewage treatment is changeable and the reaction mechanism is complex, so it is difficult to establish an accurate mathematical model, and the freque...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042Y02W10/10
Inventor 王鼎赵明明乔俊飞
Owner BEIJING UNIV OF TECH
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