Sewage BOD control method based on steady-state estimation of PID-RBF and soft measurement of LSSVM

A control method and soft measurement technology, applied in adaptive control, general control system, control/regulation system, etc., can solve problems such as difficulty in BOD online detection, large lag, unsatisfactory control lag effect, etc., and achieve good dynamic quality, Improve the effect of control lag and quick response

Active Publication Date: 2019-11-05
HUNAN UNIV OF TECH
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Problems solved by technology

Among them, in the process of sewage treatment, BOD has the characteristics of difficulty in online detection, large lag, large inertia, and time variation. Conventional PID control, the process of eliminating steady-state errors through integral control is relatively long, and the effect of control lag is not ideal. It is necessary to find an optimized Control plan

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  • Sewage BOD control method based on steady-state estimation of PID-RBF and soft measurement of LSSVM
  • Sewage BOD control method based on steady-state estimation of PID-RBF and soft measurement of LSSVM
  • Sewage BOD control method based on steady-state estimation of PID-RBF and soft measurement of LSSVM

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specific Embodiment approach

[0034] Specific implementation method: Taking a BOD control system of a sequenced batch activated sludge method sewage treatment as an example, the system implementation is divided into 3 stages:

[0035] Phase 1: Establish a BOD soft-sensing model, select input variables xi such as water inlet BOD, dissolved oxygen DO, sludge concentration, and reaction time, and measure water volume BOD as output yi, collect 600 input and output data, and randomly select 420 groups of them As the training data, the remaining 180 sets of data are used as the test data, the RBF kernel function is selected, and the BOD soft sensor model is used by LSSVM. Specific steps are as follows:

[0036] Step1 collects actual running data x i and y i , put x i and y i Perform normalization [0,1] interval processing;

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Abstract

The invention provides a sewage treatment biological oxygen demand (BOD) control method based on steady-state estimation of a PID-RBF and soft measurement of a least square support vector machine (LSSVM), and aims at solving the problem of hysteresis of BOD control in sewage treatment. The method comprises the steps of firstly, utilizing the LSSVM for conducting soft measurement on BOD, collectingvarious kinds of state data under control of PID, utilizing a radial basis function (RBF) network for learning to fit a relation between various states and steady-state output values of a PID controller under the states, then adopting a method of combining the trained RBF network for estimation of steady-state output with the PID controller for BOD control, and introducing integral control itemswhen an error is smaller than or equal to a certain predetermined value to improve the control precision. By means of the method, the defect of hysteresis of traditional PID sewage BOD control can beovercome, and stable BOD control is facilitated.

Description

technical field [0001] The present invention relates to a control method in the field of biological oxygen demand (BOD) in sewage treatment, in particular to a method based on proportional-integral-derivative (PID)-radial basis network (RBF) steady-state estimation and LSSVM soft sensor BOD control method for wastewater treatment. Background technique [0002] With the rapid development of economy and society, the problem of water pollution has become increasingly prominent, and more and more attention has been paid to the technical research on sewage treatment control. Among them, in the process of sewage treatment, BOD has the characteristics of difficulty in online detection, large lag, large inertia, and time variation. Conventional PID control, the process of eliminating steady-state errors through integral control is relatively long, and the effect of control lag is not ideal. It is necessary to find an optimized Control plan. Contents of the invention [0003] Tec...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/0285G05B13/042
Inventor 秦斌王欣秦羽新孙中灿
Owner HUNAN UNIV OF TECH
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