Control method for rotating speed of gas turbine

Abstract

The invention relates to a control method for the rotating speed of a gas turbine. A system for implementing the control method comprises a computer, a rotating speed controller and a field device. The computer is provided with software used for implementing a fuzzy control algorithm, and OPC service software. The control method comprises the following steps: collecting the rotating speed of the field device and calculating a rotating speed error of the system; and carrying out fuzzy processing on the rotating speed error of the system and the change rate of the rotating speed error by the computer, so as to obtain precise control quantity by fuzzy inference and precision processing, then carrying out adaptive adjustment on control parameters of PID by the rotating speed controller, and carrying out PID operation to achieve the control of the field device. Parameters of the rotating speed controller in the control method provided by the invention can be adjusted adaptively; and by adding Matlab control, the complex control algorithm is achieved by Matlab software without increasing the program quantity and program execution burden of the rotating speed controller, and even part of functions of the rotating speed controller can be transferred into Matlab, so that the control performance of the system is improved.

Description

technical field [0001] The invention belongs to the field of gas turbine control, and in particular relates to a method for controlling the speed of a gas turbine. Background technique [0002] Most of the existing gas turbine speed control adopts the traditional PID control. Due to the complex structure and process of the gas turbine itself, coupled with the harsh working environment, the adjustment process of multiple actuators is coupled and interfered with each other. The parameters of the traditional PID control are fixed and cannot be controlled according to the system. The change is automatically adjusted. At present, although the application of intelligent algorithms in gas turbines has been studied to some extent, most of them are still in the stage of laboratory methods. The controller used in the gas turbine control system is mainly PLC (Programmable logic Controller) or DCS (Distributed Control System, distributed control system), and the design language of the ...

AI Technical Summary

Problems solved by technology

[0002] Most of the existing gas turbine speed control adopts the traditional PID control. Due to the complex structure and process of the gas turbine itself, coupled with the harsh working environment, the adjustment process of multiple actuators is coupled and interfered with each other. The parameters of the traditional PID control are fixed and cannot be controlled according to the system. Auto-tuning for changes in

At present, although the application of intelligent algorithms in gas turbines has been studied to some extent, most of them are only in the stage of laboratory methods.

The controller used in the gas turbine control system is mainly PLC (Programmable logic Controller) or DCS (Distributed Control System, distributed control system), and the design language of the control program is mainly ladder diagram and statement list. The complex parameter self-tuning program is very difficult, and the portability of the program is poor, and different controllers cannot be used universally due to their different grammatical structures and instructions.

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