直升机悬停离散模型的最优控制设计

P. Masajedi, A. Ghanbarzadeh, M. Shishesaz
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引用次数: 4

摘要

在过去的几年里,自动驾驶汽车的使用有所增加。与不能悬停的自主飞机相比,自主直升机在机动性和垂直飞行方面具有优势。此外,在有限空间内起降的能力是自主直升机的明显优势。利用最优控制方法研究了直升机悬停稳定问题。首先建立了直升机的非线性模型,然后对模型进行线性化,得到线性模型。利用该线性模型,设计了一种基于线性二次型调节器(LQR)的控制器。由于所有状态都是不可测量的,因此在模型中加入了卡尔曼观测器。最后,在非线性模型上对控制器的性能进行了测试。仿真结果表明,该控制器能够在独立初始状态值不为零的情况下实现系统的稳定,表明该控制器具有令人满意的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Control Designing for a Discrete Model of Helicopter in Hover
The use of autonomous vehicles, have been increased during the last years. An autonomous helicopter has advantages in maneuverability and vertical flight compared to autonomous airplane which is not able to hover. In addition, the ability to take off and land in a limited space is clear advantages for autonomous helicopter. In this paper, the stabilization problem of the helicopter in hover using optimal control is investigated. At first, a nonlinear model for helicopter is developed, and then the model is linearized to obtain a linear model. Using this linear model, a controller based on linear quadratic regulator (LQR) has been designed. Since all states are not measurable, KALMAN observer then has been added to the model. Finally, the performance of the controller is tested on the nonlinear model. The simulation results show that the controller is able to stabilize the system when separate initial state values are non-zero, it can be concluded that the controller shows satisfactory performance.
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