Urban open channel drainage system control method based on self-correcting genetic algorithm

Abstract

The invention discloses an urban open channel drainage system control method based on a self-correcting genetic algorithm. According to the method, firstly, modeling is conducted according to an urban open channel system, rainfall prediction amount in the next 24 hours of a city is introduced as system disturbance, and then control over an open channel water pump in the next 24 hours is optimized by means of a genetic programming algorithm to achieve the aims of tracking the target water level and reducing energy consumption. Specially, a state feedback and rolling optimization algorithm is introduced to overcome the defects that a traditional genetic algorithm is large in algorithm model error, poor in disturbance resistance and the like, and robustness and instantaneity of a control system are improved. The method has important scientific meaning and application value in building of an urban open channel system.

Description

technical field [0001] The invention belongs to the field of industrial automatic control, is oriented to urban open channel drainage systems, and relates to a control method for urban open channel drainage systems based on a self-correcting genetic algorithm. Background technique [0002] The function of the urban open channel drainage system is to collect residents' production and domestic wastewater and rainfall runoff, and discharge them to the sewage treatment plant or the next level of channels. [0003] In actual operation, the pump station in the urban open channel drainage system adjusts the water level of the open channel by pumping water through the drainage motor, which consumes a lot of electric energy in the process. At present, the drainage pumping stations of domestic urban open channel systems mostly adopt the manual 24-hour on-duty method. This method mainly has the following three disadvantages: [0004] 1. In the face of sudden rainstorms and peak water ...

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Problems solved by technology

[0004] 1. In the face of sudden heavy rains and peak water use by urban residents, there is a lack of scientific control and decision-making mechanism, which can easily lead to overflow of the drainage system, causing serious property losses and environmental pollution problems

[0005] 2. Lack of appropriate energy-saving algorithm, resulting in a lot of waste of electric energy

[0006] 3. It consumes a lot of manpower and material resources

[0009] However, the traditional genetic algorithm is difficult to be applied in the urban open channel drainage system, because it has the following problems:

[0010] 1. The actual urban open channel system is relatively complex, and it is difficult to propose an accurate system hydraulic model, resulting in systematic errors

[0011] 2. Existing technologies cannot accurately predict urban precipitation, resulting in prediction errors

[0012] 3. The traditional genetic algorithm is an open-loop algorithm. When the system is disturbed, it lacks an automatic feedback correction mechanism.

[0013] 4. When the traditional genetic algorithm is applied to multi-level decision-making problems, even the smallest system error will be amplified step by step, which will seriously affect the reliability and stability of the system

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