首页> 外文期刊>IEEE Transactions on Control Systems Technology >Numerical solution of nonlinear /spl Hscr//sub 2/ and /spl Hscr//sub /spl infin// control problems with application to jet engine compressors
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Numerical solution of nonlinear /spl Hscr//sub 2/ and /spl Hscr//sub /spl infin// control problems with application to jet engine compressors

机译:非线性/ spl Hscr // sub 2 /和/ spl Hscr // sub / spl infin //控制问题的数值解及其在喷气发动机压缩机上的应用

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摘要

We describe an effective numerical approach to solving nonlinear /spl Hscr//sub 2/ or /spl Hscr//sub /spl infin// optimal control problems. Our principal goal is to use this approach to solve the important problem of jet engine compressor control. The technique is demonstrated first with the tutorial example of the control of a pendulum. We then apply the numerical approach to the problem of controlling jet engine compressor stall and surge instabilities (three-dimensional Moore-Greitzer model) while imposing saturation constraints. Standard in this model is a curve of equilibria along which one may operate the engine. Here, the instabilities are hardest to control near the highest performance equilibria. Our numerical results tell us rather dramatically which equilibrium one can optimally control to and which are unmanageable. The magnitude of the rate saturation constraint on the controller turns out to dominate this phenomenon. We choose a high-performance manageable equilibrium E and compute the /spl Hscr//sub 2/ optimal law which will control the system to E. We then describe plots which allow one to find a neighborhood of the equilibrium within which the closed-loop system is guaranteed to remain. The technique should work with little modification in dimensions 4 and 5, at which point the "curse of dimensionality" forces restrictions.
机译:我们描述了解决非线性/ spl Hscr // sub 2 /或/ spl Hscr // sub / spl infin //最优控制问题的有效数值方法。我们的主要目标是使用这种方法来解决喷气发动机压缩机控制的重要问题。首先通过摆锤控制的教程示例来演示该技术。然后,我们在施加饱和约束的同时将数值方法应用于控制喷气发动机压缩机失速和喘振不稳定性(三维Moore-Greitzer模型)的问题。该模型的标准是一条平衡曲线,沿着该曲线可以操作发动机。在这里,不稳定性最难控制在最高性能平衡附近。我们的数值结果相当明显地告诉我们,哪个平衡可以最佳地控制,而哪个则无法控制。控制器上的速率饱和约束的大小最终决定了该现象。我们选择一个高性能的可管理均衡E并计算将系统控制为E的/ spl Hscr // sub 2 /最优定律。然后,我们将描述允许人们找到均衡的邻域的图,在该邻域内闭环系统保证保留。该技术应该在尺寸4和5上进行很少的修改即可工作,此时“维数的诅咒”会强制限制。

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