Multiple-working-condition optimal decoupling control method for steel ball coal-milling pulverizing system
A decoupling control and decoupling controller technology, applied in neural learning methods, biological neural network models, grain processing, etc., can solve the problems that the control system cannot be put into automatic operation, manual control, overheating, etc.
Active Publication Date: 2018-10-19
NORTHEASTERN UNIV
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Problems solved by technology
Due to the frequent changes of coal types, the supply of coal source coal is unstable, and its dynamic characteristics change with the change of raw coal moisture, resulting in great dynamic changes in the system process
Moreover, due to the mutual coupling of the coal mill outlet temperature, inlet negative pressure, and inlet and outlet differential pressure, the control system composed of a single-loop controller with a decentralized control design cannot be put into automatic operation for a long time, and can only be controlled manually, resulting in over-temperature, Grinding and dusting accidents
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[0065] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0066] In this embodiment, an existing steel ball mill coal pulverization system is taken as an example, and the multi-working-condition optimal decoupling control method of the steel ball mill coal pulverization system of the present invention is used to perform optimal decoupling control on the pulverization system.
[0067] Steel ball coal pulverization system such as figure 1 As shown, it includes raw coal hopper 1, coal feeder 2, belt conveyor 3, drying pipeline 4, coal mill 5, coarse powder separator 6, fine powder separator 7, and hot air and warm air blowing system. The process flow is as follows : The crushed raw coal leaks from the raw coal hopper 1, enters the ...
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The invention provides a multiple-working-condition optimal decoupling control method for a steel ball coal-milling pulverizing system, and relates to the technical field of automatic control. The multiple-working-condition optimal decoupling control method comprises the steps that a mathematical model of the steel ball coal-milling pulverizing system is established firstly, parameters of the steel ball coal-milling pulverizing system under different work conditions are substituted into the mathematical model, and a controller design model is obtained; nonlinear items in the model are estimated through a neural network; then an optimal decoupling performance index function is selected, and an optimal decoupling controller is designed; and finally, in order to adapt to possible change of working points in the running process of the steel ball coal-milling pulverizing system, a switching mechanism is designed to adapt to dynamic change of the system. The multiple-working-condition optimal decoupling control method for the steel ball coal-milling pulverizing system can adapt to control over the steel ball coal-milling pulverizing system under the different work conditions, coupling between variables can be eliminated, decoupling control is achieved, and the production cost is reduced while the yield and product quality are ensured.
Description
technical field [0001] The invention relates to the technical field of automatic control, in particular to a multi-working-condition optimal decoupling control method for a steel ball mill coal pulverization system. Background technique [0002] Steel ball pulverizing coal milling system is widely used in domestic coal-fired thermal power plants. In a coal-fired thermal power plant, the power consumption of the ball mill pulverized system is very large, accounting for about 50% of the power consumption of the entire plant. In addition, the pulverizing system is at the front end of the thermal system of the entire thermal power plant, and its operating status directly affects the safety and economy of the entire generating set. Due to the frequent changes of coal types and the unstable supply of coal source coal, its dynamic characteristics change with the change of raw coal moisture, resulting in great dynamic changes in the system process. Moreover, due to the mutual coup...
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Login to View More IPC IPC(8): B02C17/10B02C17/18B02C25/00G06N3/08
CPCB02C17/10B02C17/18B02C25/00G06N3/084
Inventor 富月洪成文丁进良柴天佑
Owner NORTHEASTERN UNIV