Multi-model self-adapting generalized forecast control method of gas turbine rotary speed system

Abstract

The invention discloses a method for controlling a multi-model self-adapting generalized prediction of a rotating speed system of a gas turbine, which is a control strategy for multi-model self-adapting generalized prediction, which is a method for adjusting a rotating speed system of a rotor of the gas turbine to make the rotating speed of the rotor fast and stable and have an agonic tracking set value. The method adopts a recursive least square identification method to obtain a model of a typical working condition point to form a multi-model collection of the rotating speed system of the gas turbine, and further designs each controller for sub-prediction in connection with each model; control quantity output by each sub-controller is weighted as actual control quantity of the rotating speed of the gas turbine to control the rotating speed of the gas turbine to realize optimality at a global scope, thereby overcoming the defect that the conventional control makes the system respond fast when a system loading point of the gas turbine has an abrupt change; and the controller of the control method has simple design, the switches among the sub-controllers are easy for engineering realization, thereby solving the control problems of nonlinearity and nonstationarity of the object parameter of the rotating speed of the rotor, and parameter jumping under a large-scale working condition.

Description

technical field [0001] The invention is a multi-model self-adaptive generalized predictive control strategy, which is a method for adjusting the rotor speed system of a gas turbine so that the rotor speed can be tracked quickly, stably and without deviation, and belongs to the field of thermal automatic control. Background technique [0002] Gas turbine power plants have played an increasingly important role in the field of power generation with a series of advantages such as high efficiency, environmental protection, energy saving, and water saving. The rotor speed is the most important control parameter in the gas turbine control system. The rotor speed directly determines the quality of power produced. It is very important to keep the gas turbine speed stable at the rated value. Gas turbine is a complex nonlinear system, especially most gas turbine power plants are responsible for power grid peak regulation, and their working conditions often change in a large range, and ...

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Problems solved by technology

[0005] Technical problem: The purpose of the present invention is to provide a multi-model adaptive generalized predictive control method for the gas turbine speed system, which is used for the gas turbine rotor speed system, that is, to solve the problem of non-linearity, time-varying parameters of the gas turbine speed system, and parameter jumps under a wide range of operating conditions. The method of changing and other problems

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