Inverse Optimal and Theta-D Control based near Optimal flight controller

P. P, M. Nandakumar
{"title":"Inverse Optimal and Theta-D Control based near Optimal flight controller","authors":"P. P, M. Nandakumar","doi":"10.1109/ICPEICES.2016.7853150","DOIUrl":null,"url":null,"abstract":"The objective of this paper is to present a nonlinear flight control strategy, recommendable for the entire flight regime. Traditional controllers exhibit innate performance deficiencies in the widely varying aerodynamic scenario with substantially elevated control efforts. Therefore nonlinear optimality based control would be vital for the overall system performance. The prime feature of Inverse Optimal Control is that it guarantees asymptotic stability and optimality, globally, with respect to a performance index determined posteriori. The basis of Inverse Optimal control (IOC) rests on the formulation of an appropriate Control Lyapunov Function (CLF), the determination of which is in fact laborious in most cases. However here, the determination of CLF, for a particular class of nonlinear systems, is systematized to some extent. The 6 DOF aircraft dynamics separated into two timescales is considered for simulation study. The slow angular dynamics of the outer loop is controlled via Inverse Optimal Control. A suboptimal Theta-D controller is employed for the control of the fast inner loop. Thus in effect a near optimal control performance is expected of the resultant nonlinear control system. The inherent stability and robustness characteristic of the participating control laws will contribute the same to the overall system. Simulation results verify all the anticipated capabilities in terms of performance, optimality, stability and robustness.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEICES.2016.7853150","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The objective of this paper is to present a nonlinear flight control strategy, recommendable for the entire flight regime. Traditional controllers exhibit innate performance deficiencies in the widely varying aerodynamic scenario with substantially elevated control efforts. Therefore nonlinear optimality based control would be vital for the overall system performance. The prime feature of Inverse Optimal Control is that it guarantees asymptotic stability and optimality, globally, with respect to a performance index determined posteriori. The basis of Inverse Optimal control (IOC) rests on the formulation of an appropriate Control Lyapunov Function (CLF), the determination of which is in fact laborious in most cases. However here, the determination of CLF, for a particular class of nonlinear systems, is systematized to some extent. The 6 DOF aircraft dynamics separated into two timescales is considered for simulation study. The slow angular dynamics of the outer loop is controlled via Inverse Optimal Control. A suboptimal Theta-D controller is employed for the control of the fast inner loop. Thus in effect a near optimal control performance is expected of the resultant nonlinear control system. The inherent stability and robustness characteristic of the participating control laws will contribute the same to the overall system. Simulation results verify all the anticipated capabilities in terms of performance, optimality, stability and robustness.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于近最优飞行控制器的逆最优和Theta-D控制
本文的目标是提出一种适用于整个飞行状态的非线性飞行控制策略。传统的控制器在广泛变化的空气动力学场景中表现出固有的性能缺陷,大大提高了控制努力。因此,基于非线性最优性的控制对整个系统的性能至关重要。逆最优控制的主要特征是它保证了相对于后验确定的性能指标的全局渐近稳定性和最优性。逆最优控制(IOC)的基础在于适当的控制李雅普诺夫函数(CLF)的公式,在大多数情况下,它的确定实际上是费力的。然而,对于一类特殊的非线性系统,CLF的确定在一定程度上是系统化的。将6自由度飞机动力学分为两个时间尺度进行仿真研究。外环的慢角动力学采用逆最优控制。采用次优Theta-D控制器对快速内回路进行控制。因此,期望得到的非线性控制系统具有接近最优的控制性能。参与控制律的固有稳定性和鲁棒性将对整个系统做出相同的贡献。仿真结果验证了在性能、最优性、稳定性和鲁棒性方面的所有预期功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Renewable energy systems for generating electric power: A review A novel design of circular fractal antenna using inset line feed for multiband applications Integrated control of active front steer angle and direct yaw moment using Second Order Sliding Mode technique Voltage differencing buffered amplifier based quadrature oscillator Identification of higher order critically damped systems using relay feedback test
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1