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Algorithm And Experimental Study On Control And Control Of Congestion Gas Flow In Solid - Fired Engine

Posted on:2016-09-19Degree:MasterType:Thesis
Country:ChinaCandidate:J ZhouFull Text:PDF
GTID:2132330461978080Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
With the new generation of missile engines increasingly high performance requirements, research on the gas flow regulation has been enhanced in recently years. Integral Solid Propellant RamRock-et is a new power plant with high specific impulse has become a national focus of the study. There are two ways to adjust the gas flow. Congestion gas flow regulation use the gas regulator valve movement to change the area of gas generator to adjust the gas flow. This approach has a strong ability to regulate the gas flow. The gas regulation and engine control for variable flow ducted rockets were investigated in the paper.(1) The principle of gas flow regulation has been investigation. The experimental system was established including gas generator, electric need-type valve, measurement and control system. The structure of electric need-type gas control valve was designed, the material of the need-type body was selected, The dynamic seal of gas control valve has been identified.(2) The operating process’s dynamic model of the experiment system was derived, and the transfer function of gas flow and pressure has been obtained. Analyzed the frequency domain and the time domain characteristics. The result shows that adjustable system is non-minimum phase system with negative regulation characteristics.(3) The non-minimum phase system is difficult to control for the non-minimum phase system with overshoot and undershoot phenomena often occur because of the right-half plane zeros and poles. Control algorithm of the non-minimum phase system should decrease the overshoot and undershoot. Traditional PID control does not solve the problem of overshoot and undershoot. The intelligent control using for uncertain, nonlinear, complex system. Then a neural network PID controller with back propagation was proposed, the weights of neural network are optimized by Genetic Algorithm, to achieve the optimal combination property, Simulation results show that the GA-BP neural network controller can eliminate undershoot, overshoot and adjusting time.(4)Integral Solid Propellant Ram-rocket gas flow regulation is a pressure feedback control process, which can collect the pressure of gas generator, and send them to the motor controller. The controller sends a signal to gas control valve regulate the gas flow. Using signal chip microcomputer and ULN2003 designed an automatic control circuit.
Keywords/Search Tags:Integral Solid Propellant Ram-rocket, Gas regulation system, Dynamic Model, Non-minimum Phase Systems, Intelligent Control
PDF Full Text Request
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