A Control Method of Furnace Coordination System Based on Fuzzy Gain Scheduling Predictive Control

Abstract

The invention discloses a control method of a furnace coordination system based on fuzzy gain scheduling predictive control. The control method is an intelligent control method that organically combines nonlinear modeling method, fuzzy logic reasoning theory and predictive control technology. The linear modeling method establishes the multi-variable nonlinear discrete dynamic model of the local operating conditions of the machine-furnace coordination system, selects the state variables reflecting the dynamic characteristics of the machine-furnace coordination system as fuzzy scheduling variables, and infers the global multi-variable nonlinear discrete model of the machine-furnace coordination system according to fuzzy logic. Fuzzy model, then apply predictive control technology on the basis of this model, predict the multi-step output of the model, consider the control role constraints and implement rolling optimization strategy. This method can quickly track the load in the whole range of working conditions, and can deal with the constrained optimization problem of the control effect. It has good robustness while ensuring the global optimization of the control system, and is of great importance to the operation optimization of thermal power units for deep peak regulation. significance.

Description

technical field [0001] The invention relates to the field of thermal power engineering and automatic control, in particular to a control method for a machine furnace coordination system based on fuzzy gain scheduling predictive control. Background technique [0002] The boiler-boiler coordinated control system is the core of the thermal system of a thermal power plant. It coordinates and comprehensively controls the boiler and steam turbine so that the unit can quickly respond to the load requirements of the grid. At present, most of them use PID control, but when the characteristics of the objects change, it is difficult to ensure that the system Obtain the best quality and affect the economical operation of the unit. Model predictive control (MPC) has a good control effect on multi-capacitance inertial objects, with fast response of the controlled variable and small overshoot. It also has good robustness and the ability to deal with constraints, which is beneficial to the ...

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Problems solved by technology

With the rapid development of renewable clean energy power generation technology in China, coal-fired thermal power capacity is overcapacitated, and the peak-to-valley load difference of the power grid is relatively large. Under the requirements of deep peak regulation, thermal power units must adjust the load in a wide range according to the requirements of the power grid, and the coordination of machines and furnaces The dynamic characteristics of the system objects change greatly, and there are serious nonlinearities. However, the traditional coordinated control system of the boiler and furnace is only designed according to the object characteristics of the thermal power unit at a certain load point, and cannot guarantee that the unit is global within the entire load range. optimal, so we need to explore other better control schemes

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