Development of an Intelligent Least Squares Based Linear Controller for Autonomous Helicopters

被引：0

作者：

Kubali, Eser ^{[1
]}

Yavrucuk, Ilkay ^{[2
]}

机构：

[1] TUSAS Aerosp Ind, TR-06980 Ankara, Turkey

[2] Middle East Tech Univ, Dept Aerosp Engn, TR-06800 Ankara, Turkey

来源：

2016 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS) | 2016年

关键词：

D O I：

暂无

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

In this paper, a novel PID gain update law using linear least squares regression is introduced as an adaptive control method for autonomous helicopters. In addition, prediction analysis is conducted for error dynamics of the closed loop system using recursive linear least squares regression. Combining these two concepts with classical PID controller, an intelligent PID controller is obtained. A flight controller with three control loops is developed to demonstrate the capabilities of the controller. Finally, several maneuvers are carried out to investigate the new intelligent controller.

引用

页码：242 / 251

页数：10

共 50 条

[31] The Development of Weather Based Intelligent Demand Controller
Choi S.
Transactions of the Korean Institute of Electrical Engineers, 2023, 72 (09): : 1124 - 1128
[32] Orthogonal least squares based fast feature selection for linear classification
Zhang, Sikai
Lang, Zi-Qiang
PATTERN RECOGNITION, 2022, 123
[33] Linear least-squares based methods for neural networks learning
Fontenla-Romero, O
Erdogmus, D
Principe, JC
Alonso-Betanzos, A
Castillo, E
ARTIFICAIL NEURAL NETWORKS AND NEURAL INFORMATION PROCESSING - ICAN/ICONIP 2003, 2003, 2714 : 84 - 91
[34] On a least-squares-based algorithm for identification of stochastic linear systems
Zheng, WX
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1998, 46 (06) : 1631 - 1638
[35] Design of Fuzzy Based Intelligent Controller for Autonomous Mobile Robot Navigation
Adhvaryu, Aniket D.
Adarsh, S.
Ramchandran, K. I.
2017 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2017, : 841 - 846
[36] A novel heuristic programming-based intelligent controller for autonomous farming
Mukherjee, Subhradip
ROBOTIC INTELLIGENCE AND AUTOMATION, 2025, 45 (01): : 77 - 89
[37] On equality and proportionality of ordinary least squares, weighted least squares and best linear unbiased estimators in the general linear model
Tian, Yongge
Wiens, Douglas P.
STATISTICS & PROBABILITY LETTERS, 2006, 76 (12) : 1265 - 1272
[38] Consistency and Rate of Convergence of Switched Least Squares System Identification for Autonomous Markov Jump Linear Systems
Sayedana, Borna
Afshari, Mohammad
Caines, Peter E.
Mahajan, Aditya
2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC), 2022, : 6678 - 6685
[39] Predictive PID networked controller based on modeling by least squares support vector machines
Zhou, Xiaobing
Fei, Minrui
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13 : 246 - 250
[40] Recursive Least-squares Reinforcement Learning Controller Based on General Fuzzy CMAC
Shen, Zhipeng
Zhang, Ning
Guo, Chen
2007 SECOND INTERNATIONAL CONFERENCE ON BIO-INSPIRED COMPUTING: THEORIES AND APPLICATIONS, 2007, : 191 - 195

← 1 2 3 4 5 →