Robust Control System Design for Small UAV Using H2-Optimization

Abstract Unmanned aerial vehicles are famous for their wide range of applications. In D3 (Dirty-Dull-Dangerous) UAV applications flight conditions may vary on large scale. External disturbances like atmospheric turbulences and gusts may be subjected to UAV, and as a result, UAV flight mission might be conducted with high level of the degradation of the accuracy. Sensor noises are also present, and theirs negligence might lead to improper dynamic performances of the closed loop control systems. Uncertainties of the control systems being structured or unstructured may tend the closed loop control system to stability bounds. In worst case, uncertainties may destabilize closed loop control systems. The purpose of the author is to present a robust controller design method called H2-optimal design ensuring stability of the closed loop control systems with simultaneous dynamic performances predefined for the closed loop control system.

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Development of a Closed-loop Control System for the Movements of the Extruder and Platform of a FDM 3D Printing System

NIP & Digital Fabrication Conference ◽

10.2352/issn.2169-4451.2018.34.176 ◽

2018 ◽

Vol 2018 (1) ◽

pp. 176-181

Author(s):

Manuela F. Cerón Viveros ◽

Alvaro J. Rojas Arciniegas

Keyword(s):

Control System ◽

3D Printing ◽

Closed Loop ◽

Closed Loop Control ◽

Loop Control ◽

Closed Loop Control System ◽

Loop Control System ◽

Printing System

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Closed-loop control system for well-defined oxygen supply in micro-physiological systems

Current Directions in Biomedical Engineering ◽

10.1515/cdbme-2017-0075 ◽

2017 ◽

Vol 3 (2) ◽

pp. 363-366

Author(s):

Tobias Steege ◽

Mathias Busek ◽

Stefan Grünzner ◽

Andrés Fabían Lasagni ◽

Frank Sonntag

Keyword(s):

Control System ◽

Oxygen Supply ◽

Closed Loop ◽

Microfluidic System ◽

Closed Loop Control ◽

Loop Control ◽

Cell Vitality ◽

Closed Loop Control System ◽

Loop Control System

AbstractTo improve cell vitality, sufficient oxygen supply is an important factor. A deficiency in oxygen is called Hypoxia and can influence for example tumor growth or inflammatory processes. Hypoxia assays are usually performed with the help of animal or static human cell culture models. The main disadvantage of these methods is that the results are hardly transferable to the human physiology. Microfluidic 3D cell cultivation systems for perfused hypoxia assays may overcome this issue since they can mimic the in-vivo situation in the human body much better. Such a Hypoxia-on-a-Chip system was recently developed. The chip system consists of several individually laser-structured layers which are bonded using a hot press or chemical treatment. Oxygen sensing spots are integrated into the system which can be monitored continuously with an optical sensor by means of fluorescence lifetime detection.Hereby presented is the developed hard- and software requiered to control the oxygen content within this microfluidic system. This system forms a closed-loop control system which is parameterized and evaluated.

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Adaptive synchronization of uncertain fractional-order chaotic systems using sliding mode control techniques

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering ◽

10.1177/0959651819849284 ◽

2019 ◽

Vol 234 (1) ◽

pp. 3-9 ◽

Cited By ~ 3

Author(s):

Bahram Yaghooti ◽

Ali Siahi Shadbad ◽

Kaveh Safavi ◽

Hassan Salarieh

Keyword(s):

Control System ◽

Sliding Mode Control ◽

Fractional Order ◽

Chaotic Systems ◽

Closed Loop ◽

Sliding Mode ◽

Closed Loop Control ◽

Loop Control ◽

Closed Loop Control System ◽

Loop Control System

In this article, an adaptive nonlinear controller is designed to synchronize two uncertain fractional-order chaotic systems using fractional-order sliding mode control. The controller structure and adaptation laws are chosen such that asymptotic stability of the closed-loop control system is guaranteed. The adaptation laws are being calculated from a proper sliding surface using the Lyapunov stability theory. This method guarantees the closed-loop control system robustness against the system uncertainties and external disturbances. Eventually, the presented method is used to synchronize two fractional-order gyro and Duffing systems, and the numerical simulation results demonstrate the effectiveness of this method.

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