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Method for controlling rotating speed of steam turbine on basis of self-adaptive inverse control

An adaptive inverse and speed control technology, which is applied to mechanical equipment, engine components, machines/engines, etc., can solve the problems of difficult measurement of steam turbine power signals and great differences in the influence of control system dynamic characteristics

Inactive Publication Date: 2014-02-05
HENAN UNIV OF URBAN CONSTR
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Problems solved by technology

However, because the power signal of the steam turbine is difficult to measure, the power signal of the generator is often used instead of the power signal of the steam turbine in practical applications, but the influence of the two on the dynamic characteristics of the control system is very different

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  • Method for controlling rotating speed of steam turbine on basis of self-adaptive inverse control
  • Method for controlling rotating speed of steam turbine on basis of self-adaptive inverse control
  • Method for controlling rotating speed of steam turbine on basis of self-adaptive inverse control

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Embodiment Construction

[0061] The present invention will be further described below in conjunction with the accompanying drawings, but not as a limitation of the present invention.

[0062] This publication proposes a steam turbine speed adaptive inverse control method (reference figure 1 ), the control method includes the following steps:

[0063] On-line identification of steam turbine speed control object model.

[0064] The steam turbine speed control object is a nonlinear object with dead zone, inertia and time-varying parameters, and its differential equation can be expressed as:

[0065] y(k+1)=g[u(k),u(k-1),Lu(k-m+1),y(k),y(k-1)L,y(k-n+1 )] (1)

[0066] In the formula, u and y are the control input signal of the steam turbine speed regulation object and the output speed ω of the steam turbine, respectively, and m and n are the corresponding orders respectively.

[0067] according to figure 1 Object model P for steam turbine speed regulation m To identify the structural requirement...

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Abstract

The invention discloses a method for controlling the rotating speed of a steam turbine on the basis of self-adaptive inverse control, which aims at the characteristics of time lag, nonlinearity and obvious variation of dynamic characteristics along with the working conditions, difficulty in accurately modeling and the like of a steam turbine speed regulating system, adopts a self-adaptive inverse control theory and combines a neural network technology. According to the scheme, an object model, an inverse model and a disturbance canceling controller are obtained by utilizing RBF (Radial Basis Function) neural network on-line identification, a given rotating speed signal and external disturbance are respectively controlled to simultaneously achieve the optimal control effect and compromise does not need to be carried out between the given rotating speed signal and the external disturbance; compared with a steam turbine rotating speed PID (Proportion Integration Differentiation) cascade control method in the prior art, the self-adaptive inverse control method provided by the invention can well adapt to variation of the characteristics of a steam turbine speed regulation object, effectively overcomes the inertness and nonlinearity of the object, effectively inhibits the external disturbance and can obviously improve control quality of the steam turbine speed regulating system.

Description

technical field [0001] The invention belongs to the field of thermal process automatic control, and in particular relates to the technology of self-adaptive inverse control of steam turbine speed. Background technique [0002] The steam turbine speed control system is the main system for controlling the steam turbine, and its dynamic performance directly affects the economy and safety of the unit. However, the inertia, disturbance, parameter time-varying, dead zone and saturation in the speed control system make the object characteristics show serious nonlinearity and time-varying, which makes it difficult for the conventional PID control system to achieve the ideal control effect. [0003] In order to overcome the shortcomings of conventional PID, many researchers try to introduce intelligent control methods into PID control, forming various improved PID regulation systems, such as fuzzy optimization PID, neural network PID, genetic algorithm PID, etc. However, when the ab...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F01D21/00
Inventor 王万召刘恩海崔秋娜宋艳苹蒋建飞
Owner HENAN UNIV OF URBAN CONSTR
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