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Gravitation searching algorithm and sewage processing control method based on the same

A search algorithm and control method technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve problems such as difficult control, high consumption of blast and aeration costs, lagging water quality parameter detection, etc., to achieve the lowest cost Excellent, speed up the convergence speed, improve the effect of algorithm accuracy

Active Publication Date: 2017-09-15
WUHAN UNIV OF SCI & TECH
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] There are still two main problems in the improved SBR process: one is that the detection of water quality parameters in sewage treatment is lagging behind. Off-line manual detection is adopted, usually by manual water intake, and then manual testing in the laboratory to obtain the effluent water quality index COD (chemical Oxygen demand), ammonia nitrogen HN3-N and other test results, adjust the blast aeration disc according to the water quality
The operating cost of this process mainly includes three parts: labor cost, sludge treatment cost, and blast aeration cost. Among them, labor cost and sludge treatment cost can generally be fixed according to the scale of the factory, while blast aeration cost consumes a lot and is difficult control

Method used

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  • Gravitation searching algorithm and sewage processing control method based on the same
  • Gravitation searching algorithm and sewage processing control method based on the same
  • Gravitation searching algorithm and sewage processing control method based on the same

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] A differential adaptive gravitational search algorithm, comprising the following steps:

[0068] S1. Initialize the population;

[0069] S2. Calculate the population fitness value;

[0070] S3. Calculate the inertial mass M and acceleration a of the population;

[0071] S4. Updating the individual position;

[0072] S5. Check whether the number of iterations is reached, and output the optimal value when the number of iterations is reached; if the number of iterations is not reached, repeat the steps S2, S3 and S4.

[0073] The step S4 includes bringing the formula of the gravitational search algorithm into the update formula;

[0074] The formula of the gravitational search algorithm includes:

[0075] The gravitational force between particles is:

[0076]

[0077] In the formula, G represents the gravitational constant, M 1 , M 2 Respectively represent the inertial mass of the two particles, R represents the Euclidean distance between the two particles, F rep...

Embodiment 2

[0107] A control method for sewage treatment, comprising the steps of:

[0108] S100. Set the dimension of the search space of the problem to be 2, and set the upper and lower limits of the space as follows:

[0109]

[0110] in, is the ammonia nitrogen content; COD is the chemical oxygen demand; ρ DO Dissolved oxygen; Q w is the sludge discharge

[0111] Heavy volume;

[0112] S200, population initialization;

[0113] S300. Initialize the global optimal value gbest;

[0114] S400, calculating the adaptation value and the acceleration;

[0115] S500, updating speed and position;

[0116] S600. Update the global optimal particle and the individual optimal particle to obtain the global optimal solution pbest i and gbest;

[0117] S700, comparing whether the number of iterations is reached, when the number of iterations is reached, output the optimal solution, when the number of iterations is not reached, repeat the steps S300, S400, S500 and S600;

[0118] S800. Th...

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Abstract

The invention relates to a difference adaptive universal gravitation searching algorithm and a sewage processing control method based on the same. The searching algorithm comprises following steps of S1, initializing groups; S2, calculating fitness values of the groups; S3, calculating inertia mass M and accelerated speed alpha of each group; S4, updating an individual position; and S5, comparing to determine whether iteration times is reached, if yes, outputting an optimal value, and if not, repeating the steps S2, S3, and S4. The beneficial effects are that convergence speed is associated with step lengths during acceleration of the convergence speed, so the best way is that by updating the individual parameter G0 and the accelerated speed alpha in real time, the convergence speed of the algorithm can be effectively controlled and algorithm precision is improved.

Description

technical field [0001] The invention relates to a gravitational search algorithm and a sewage treatment control method based on the algorithm. Background technique [0002] Only by introducing high-quality computer technology, contemporary optimization algorithms and control theory into the sewage treatment process can the efficiency of sewage treatment be improved and treatment costs reduced. Gravitational search algorithm (GSA) is a new heuristic optimization algorithm analyzed by Esmat Rashedi and others at Kerman University in Iran in 2009. The essence of this GSA algorithm is to imitate the phenomenon of gravitation in physics and calculate it as a process of randomly searching for the optimal solution. However, GSA is currently used less, and there are very few studies on self-adaptation. [0003] Although the GSA algorithm is a globally convergent algorithm that can find the optimal value, if the algorithm does not search for the global (or local) optimal solution b...

Claims

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Application Information

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IPC IPC(8): G05B13/02
CPCG05B13/024
Inventor 刘惠康高维娜杨旭升柴琳许玥
Owner WUHAN UNIV OF SCI & TECH
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