A hoveriing Controller Design of a Portable Unmanned Helicopter by System Identification and Model Matching

2004 ◽  
Vol 2004 (0) ◽  
pp. 152-153 ◽  
Author(s):  
C. J Lin ◽  
S Katsuki ◽  
T Shimogawa ◽  
M Iwamura ◽  
H Ozaki
Keyword(s):  
System Identification ◽  
Controller Design ◽  
Unmanned Helicopter ◽  
Model Matching

Model-Matching Controller Design With Input-Output Data—A Numerical Approach for Redundantly Actuated Systems

1994 ◽  
Vol 116 (4) ◽  
pp. 800-805
Author(s):  
Jenq-Tzong H. Chan
Keyword(s):  
Explicit Knowledge ◽  
Controller Design ◽  
Numerical Technique ◽  
Open Loop ◽  
Loop System ◽  
Synthesis Process ◽  
Model Matching ◽  
Input Output ◽  
Output Data ◽  
Redundantly Actuated

A numerical technique for control system synthesis based on input-output data is presented. The method is applicable when the system is open-loop stable and redundantly actuated. The major merits of the method are as follows. First, the closed-loop system equation may be arbitrarily assigned. Second, explicit knowledge of an open-loop system model is not needed for controller synthesis. Third, the stability of the synthesized system may be verified during the synthesis process; hence, the workability of the controller is ensured.

A model matching framework for haptic controller design

2017 ◽  
Author(s):  
Indrajit Desai ◽  
Abhishek Gupta ◽  
Debraj Chakraborty
Keyword(s):  
Controller Design ◽  
Model Matching

Motion Tracker Based Wheeled Mobile Robot System Identification and Controller Design

2018 ◽  
pp. 241-258
Author(s):  
Dwi Pebrianti ◽  
Yong Hooi Hao ◽  
Nur Aisyah Syafinaz Suarin ◽  
Luhur Bayuaji ◽  
Zulkifli Musa ◽  
...  
Keyword(s):  
System Identification ◽  
Mobile Robot ◽  
Controller Design ◽  
Wheeled Mobile Robot ◽  
Robot System

scholarly journals The discrete-time tracking problem with H∞ model matching approach plus integral control

2019 ◽  
Vol 292 ◽  
pp. 01018
Author(s):  
Murat Akın ◽  
Tankut Acarman
Keyword(s):  
Discrete Time ◽  
Closed Loop ◽  
Controller Design ◽  
Model Matching ◽  
Matching Problem ◽  
Design Algorithm ◽  
Integral Control ◽  
Loop Transfer Function ◽  
Model Transfer ◽  
Static Output

In this study, the discrete-time H∞ model matching problem with integral control by using 2 DOF static output feedback is presented. First, the motivation and the problem is stated. After presenting the notation, the two lemmas toward the discrete-time H∞ model matching problem with integral control are proven. The controller synthesis theorem and the controller design algorithm is elaborated in order to minimize the H∞ norm of the closed-loop transfer function and to maximize the closed-loop performance by introducing the model transfer matrix. In following, the discrete-time H∞ MMP via LMI approach is derived as the main result. The controller construction procedure is implemented by using a well-known toolbox to improve the usability of the presented results. Finally, some conclusions are given.

System identification and robust attitude control of an unmanned helicopter using novel low-cost flight control system

2019 ◽  
Vol 234 (5) ◽  
pp. 634-645
Author(s):  
Mohammad Hossein Khalesi ◽  
Hassan Salarieh ◽  
Mahmoud Saadat Foumani
Keyword(s):  
Control System ◽  
Robust Control ◽  
System Identification ◽  
Flight Control ◽  
Low Cost ◽  
Superior Performance ◽  
Raspberry Pi ◽  
Unmanned Helicopter ◽  
Flight Control System ◽  
Robust Control System

In recent years, unmanned aerial systems have attracted great attention due to the electronic systems technology advancements. Among these vehicles, unmanned helicopters are more important because of their special abilities and superior performance. The complex nonlinear dynamic system (caused by main rotor flapping dynamics coupled with the rigid body rotational motion) and considerable effects of ambient disturbance make their utilization hard in actual missions. Attitude dynamics have the main role in helicopter stabilization, so implementing proper control system for attitude is an important issue for unmanned helicopter hovering and trajectory tracking performance. Besides this, experimental utilization of low-cost flight control system for unmanned helicopters is still a challenging task. In this article, dynamic modeling, system identification, and robust control system implementation of roll and pitch dynamics of an unmanned helicopter is performed. A TRex-600E radio-controlled helicopter is equipped with a novel low-cost flight control system designed and constructed based on Raspberry Pi Linux-based microcomputer. Using Raspberry Pi makes this platform simpler to utilize and more time and cost-effective than similar platforms used before. The experiments are performed on a 5-degree-of-freedom testbed. The robust control system is designed based on [Formula: see text] method and is evaluated in real flight tests. The experiment results show that the proposed platform has the ability to successfully control the roll and pitch dynamics of the unmanned helicopter.

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