Simple Learning-Based Robust Nonlinear Control of an Electric Pump for Liquid-Propellant Rocket Engines

被引:1
|
作者
Jafari, Mohammad [1 ]
Reyhanoglu, Mahmut [1 ]
Kozhabek, Zhandos [2 ]
机构
[1] Columbus State Univ, Robot Engn Program, Columbus, GA 31907 USA
[2] Almaty Univ Power Engn & Telecommun, Dept Space Engn & Technol, Alma Ata 050013, Kazakhstan
关键词
learning control; electric pump; nonlinear control; SYSTEM SCHEME DESIGN; TRACKING CONTROL;
D O I
10.3390/electronics12163527
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a robust nonlinear control strategy for an electric pump for liquid-propellant rocket engines. In order to compensate for model uncertainties and disturbances, a gradient-descent-based simple learning control strategy is employed that minimizes the cost function defined on the error dynamics of the nonlinear system. Detailed stability analysis for the nonlinear system is provided. Computer simulation results are included to demonstrate the effectiveness of the nonlinear control method using an electric pump model consisting of a brushless permanent-magnet direct current (DC) motor and a centrifugal pump. In particular, it is shown that by employing the developed nonlinear controller, the mass flow rate can be successfully kept at a certain level, can be changed instantly from one level to another (immediate decrease or increase), or can be changed linearly/nonlinearly, gradually, and continually for a certain period.
引用
收藏
页数:18
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