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Adaptive Control Of Superheated Steam Temperature With Human-Simulated Intelligent Feedforward

Posted on:2017-04-18Degree:MasterType:Thesis
Country:ChinaCandidate:S S HaoFull Text:PDF
GTID:2348330488489169Subject:Systems Engineering
Abstract/Summary:PDF Full Text Request
For thermal power plant, the boiler superheated steam temperature is a very important parameter, because it is the first step to drive the steam turbine. When the superheated steam temperature is higher than the required value, it will damage the other components, and the long-term over-temperature can be dangerous,when the steam temperature below the required value, steam turbine can not reach the force required to do work, it will reduce the efficiency of power plant. Therefore, the power plant for the main steam temperature of the allowable range is strictly controlled. But the power plant superheated steam temperature is a typical large inertia, big lag system, and When the unit load changes, it also presents the nonlinear characteristic. So, Superheated steam temperature control has been a hot research. In this paper, an adaptive control strategy with variable load is studied based on the operating experience of the operator and the superheated steam temperature controlled object. The main contents are as follows:(1) Combined with the operating experience of operating personnel under abnormal operating conditions, the feed-forward of intelligent control with human simulated intelligent control is designed to suppress the large amplitude fluctuation of the superheated steam temperature;(2) A multi-model control method based on unit load dispatch is used to overcome the nonlinear characteristics of the object;(3)The basic structure of the control system is a cascade control, and the main circuit adopts internal model control, and the internal model controller,which is used to overcome the large delay characteristics of the object.Finally,taking a 300 MW drum boiler as the research object,this paper is combined with the composite imitation of human intelligent feedforward, multi-model adaptive control and internal model control to prove that the designed control system has better control quality by comparing the effect before and after the operation in the system.
Keywords/Search Tags:Superheated steam temperature, Feedforward of human-simulated intelligent, Multiple model adaptive control, Internal model control
PDF Full Text Request
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