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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers >Adaptive nonlinear generalized predictive control for hypersonic vehicle with unknown parameters and control constraints
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Adaptive nonlinear generalized predictive control for hypersonic vehicle with unknown parameters and control constraints

机译：参数和控制约束未知的高超音速飞行器自适应非线性广义预测控制

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摘要

In this article, an adaptive nonlinear generalized predictive controller is developed for the hypersonic vehicle with unknown parameter uncertainties and control surface constraints. A nominal controller based on generalized predictive control is first developed for the nominal longitudinal model. Considering the complicated practical flying environment and outer unknown disturbances, a parametric longitudinal dynamics model of the hypersonic vehicle is constructed. Then, an adaptive parameter estimation method is proposed to update the unknown controller parameters and parameter projection is applied to solve the control singularity and the parameter boundedness problem. Control surface is restricted to deflect in a range. To satisfy the above constraint, the predictive time should be selected appropriately. Through a large number of simulation experiments, the suitable ranges of the predictive time under different commands are given. All closed-loop signals are guaranteed to be bounded. And simulation results verify the effectiveness of the proposed controller.
机译：在本文中，为未知参数不确定性和控制面约束的高超音速飞行器开发了一种自适应非线性广义预测控制器。首先针对名义纵向模型开发了基于广义预测控制的名义控制器。考虑到复杂的实际飞行环境和外界未知干扰，建立了高超声速飞行器参数化纵向动力学模型。然后，提出了一种自适应参数估计方法来更新未知的控制器参数，并采用参数投影法解决了控制奇异性和参数有界性问题。控制面限制在一定范围内偏转。为了满足上述约束，应该适当选择预测时间。通过大量的仿真实验，给出了不同命令下预测时间的合适范围。保证所有闭环信号都是有界的。仿真结果验证了所提控制器的有效性。

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