The analysis and design of closed-loop control system for security information based on the petri net

A digital closed-loop control system with all digital phase locked loop (ADPLL) is designed and optimized, in order to improve the bias stability and transient response of the gyroscope. The nonlinear mathematical models for the closed-loop amplitude and phase control system are established. The linearization method is applied to analyze the nonlinear models. The control parameters of the drive loop are optimized. The experimental results show that the phase deviation between the demodulation reference signal of the drive loop and the sense signal is less than 0.25° in the temperature range from-40°C to 60°C, within 0.15° of the variation. At room temperature, the overshoot amount of the gyroscope control system is 4.5% with setting time of 0.12s. The bias stability is 1.45°h. Compared to the analog control scheme, the digital control system has advantages of short setting time, small overshoot, short phase locked time, large locked range, high phase precision, etc.

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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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