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Research On Power Matching Control Technology Of Emulsion Pump Station In Fully Mechanized Coal Mining Face

Posted on:2017-05-04Degree:MasterType:Thesis
Country:ChinaCandidate:N QiFull Text:PDF
GTID:2271330509954957Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
“Automation” and “Intelligentization” in fully mechanized working face are of great significance to realize high-efficiency and safe production in coal mine. As a power station of hydraulic support, emulsion pump station is one of key equipments to guarantee safety production in coal mine. Current emulsion pump stations mainly adopt the method of frequency conversion constant pressure control. But the method does not bring ideal control result. In actual use, the phenomenons exsit with hydraulic support of abnormal place, long time following shearer, insufficient setting force,etc.Therefore, combining with working characteristics of hydraulic support we predict hauling speed of shearer, judge motions requirements of hydraulic support and opimize output of emulsion pump station. Finally power matching technology of emulsion pump station is realized. Main research content is as follows:(1) Model is established of hydraulic support timing motions based on the hauling speed and position of shearer. The thesis predicts hauling speed of shearer based on BP neural network. And then the demand for emulsion flow of hydraulic support can be konwn in the process of following shearer.(2) In view of the phenomenon that hydraulic supports are not in place at the end of fully mechanized working face, this thesis establishes pressure loss model of emulsion pump station along the line. The loss value is obtained through simulation analysis based on AMESim. Pressure compensation is realized with electro-hydraulic proportion relief valve.(3) This thesis designs a hybrid particle swarm multi-objective optimization algorithm to match-control feeding folw of emulsion pump station. Optimizings are done with particle swarm optimization algorithm and hybrid particle swarm optimization algorithm respectively. Simulation results prove optimization effect of the designed algorithm better.(4) The power matching control system experimental platform of emulsion pump station is established. Experiment is done of emulsion pump station feeding. Experimental results show that power matching control system of emulsion pump station has good control performance, and the system response time is less than one second. At the same time, hydraulic support motions are accurate.
Keywords/Search Tags:emulsion pump station, power matching, hydraulic support, prediction control
PDF Full Text Request
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