Implementation of adaptive nonlinear control for flight test on an unmanned helicopter
Implementation of adaptive nonlinear control for flight test on an unmanned helicopter
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无人直升机飞行试验自适应非线性控制的实现
DOI：
10.1109/cdc.1998.761746
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发表时间：
1998
期刊：
影响因子：
--
通讯作者：
J. Prasad
中科院分区：
文献类型：
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作者：
J. Corban;A. Calise;J. Prasad
大量的仿真研究已经揭示了基于神经网络的方法在飞行控制系统设计中直接自适应控制的潜在好处。在潜在的好处中，最重要的是大大减少了对系统动力学建模的依赖。然而，该方法还有待于在实际飞行系统中进行论证来证明其实用性。介绍了一种实用的无人直升机试验台飞行控制系统的设计。包括对控制系统硬件和软件的描述，以及为准备飞行测试而组装的实时硬件在环仿真设施。给出了半实物试验结果，并讨论了1998年第四季度的飞行试验计划。
Numerous simulation studies have revealed the potential benefits of a neural network-based approach to direct adaptive control in the design of flight control systems. Foremost among the potential benefits is greatly reduced dependence on modeling of system dynamics. However, the methodology has yet to be proven practical by demonstration in an actual flight system. The paper presents an overview of the design of a practical control system for flight test on an unmanned helicopter testbed. Included is a description of the control system hardware and software, as well as the real-time, hardware-in-the-loop simulation facility assembled to prepare for flight testing. Hardware-in-the-loop test results are presented, and flight test plans for the forth quarter of 1998 are discussed.