MMPC-based supercritical unit coordination and control method

Abstract

The invention discloses an MMPC (Multiple Model Predictive Control)-based supercritical unit coordination and control method which comprises the following steps: pre-arranging a plurality of local predictive models according to the nonlinear working condition response of a supercritical unit; selecting a load parameter to serve as a control variable through a model identification method, and obtaining the output increments of all local predictive models through an interpolation formula; and in each control period, piling up the output increments of all local predictive models through a DMC (Dynamic Matrix Control) prediction control algorithm so as to obtain an actual output increment which is used for correcting a feedforward passage. According to the invention, the MMPC method is adopted for the coordination and control of the supercritical unit; a selection method of the control variable, a process variable and a perturbation variable for prediction control is proposed; and a specific construction scheme of the MMPC in a coordination and control system is also provided. The method has the advantages of advancement, strong practicability, good robustness, and quick and stable control effect, as a result, an ideal control effect is obtained.

Description

technical field [0001] The invention relates to the technical field of industrial process control, in particular to a coordinated control method for supercritical units based on multi-model predictive control. Background technique [0002] The automatic control of the thermal system of the power plant has always been one of the hot issues in the control field. With the rapid development of the social economy, the working conditions of the production system are becoming more and more complex, and the requirements are increasing. The control system often presents multi-variable, strong coupling, The wide range of working conditions and high comprehensive requirements for control performance make the research on this problem more complicated. To solve complex problems in daily life, people often use the law of decomposition and synthesis unconsciously, that is, a large complex problem can be decomposed into a group of simple small problems, and the solution of the original prob...

AI Technical Summary

Problems solved by technology

[0003] Among traditional technologies, MPC (Model Predictive Control, Model Predictive Control) technology is mostly used for the traditional coordinated control of boilers in thermal power plants, but the control effect in practical applications is not ideal

Thermal power units need to control the boiler and steam turbi

Images