WA06 Sensor-data Analysis and Adaptive Control
Time : 09:00~10:30
Room : Room 106
Chair : Prof.Yohei Saika (National Institute of Technology, Gunma College, )
09:00~09:15        WA06-1
Comparison of Piezoelectric Limit Sensors with FEM Analysis Results of Compression Failure of Brick Masonry Specimens

Takuya Sasaki, Calros Cuadra, Hirokazu Madokoro, Kazuhisa Nakasho, Nobuhiro Shimoi(Akita Prefectural University, Japan)

At present, approximately 60% of world’s population lives in masonry structures. Some of these structures are found in developing countries experiencing frequent earthquakes. Strong earthquakes tend to collapse these brittle, “non-engineered” structures, causing great harm to humans when these are residential structures. The purpose of this study is to develop simple, low-cost sensor systems for structural health monitoring using piezoelectric films. Our failure prediction system aimed at avoiding human suffering caused by earthquake-induced building collapses. Our novel sensors comprise ...
09:15~09:30        WA06-2
An Improved Hybrid Multilevel Converter Topology as a Utility Interface for Photovoltaic Systems

Seyed Hossein Hosseini, Amirreza Zarrin, Sasan Karimiyeh(University of Tabriz, Iran, Islamic Republic of)

In this paper, a hybrid power electronic topology is presented for grid-connected PV panels. The proposed structure comprises of a dual active bridge (DAB) converter along with a multilevel converter which is based on diode-clamped structure. The DAB converter is connected to the proposed multilevel converter using a DC-link capacitor. The proposed hybrid converter can increase the produced voltage by PV panel significantly. The primary bridge switches of DAB converter are controlled using an advanced incremental Conductance algorithm to extract maximum power from PV panel. For injecting activ
09:30~09:45        WA06-3
Robust Discrete-time Control for Uncertain time-delay Systems with Nonlinearities Under Hölder Continuity

Xin Wang(China University of Petroleum, Beijing, China), Xin Zuo, Jianwei Liu, Huaqing Liang, Qi Pan(Department of Automation, China University of Petroleum, China)

This paper is concerned with the robust discrete-time control for uncertain time-delay systems with nonlinearities and external noises. The parameter uncertainties enter into all the system matrices. The time-varying delay is unknown with given lower and upper bounds. The stochastic nonlinearities are described by satisfying a class of Hölder condition. The problem addressed is the analysis and design of a stable controller such that, for all the parameter uncertainties, time-delay, stochastic nonlinearities and external noises, the resulting closed-loop system is exponentially stabile.
09:45~10:00        WA06-4
Static Properties of Bayesian Inference on Phase Unwrapping for Remote Sensing Using SAR Interferometry

Yohei Saika(National Institute of Technology, Gunma College, Japan)

By making use of the Monte Carlo simulation for several typical wave-front in remote sensing via the synthetic aperture radar (SAR) interferometry, we examine static properties of phase unwrapping due to Bayesian inference using the maximizer of the posterior marginal (MPM) estimate based on the performance measure using the root mean square error between original and reconstructed wave-fronts. The phase diagram in hyper-parameter space finds that the MPM estimate realizes phase unwrapping with high accuracy for the several artificial wave-fronts, if we tune parameters of the surface-consiste
10:00~10:15        WA06-5
Dynamic Set Point Feedback Control using Steady State Detection

Somsin Tongkrirat, Boonchana Purahong, Vanvisa Chutchavong(King Mongkut’s Institute of Technology Ladkrabang, Thailand)

We implement the Dynamic set point feedback control to our hardware and got the satisfy result because our system can adjust set point into the new set point that we want. But this method is still really complex to use because there many parameters to be adjust or tuning in second topic and our mechanical hardware part is not really good so it makes our system a little oscillate. In the future we plan to implement this method with some system like electric bike, electric scooter etc.
10:15~10:30        WA06-6
Nonlinear Control of Thermoacoustic Oscillations in Rijke-Type Systems

William MacKunis, Mahmut Reyhanoglu, Krishna Bhavithavya Kidambi(Embry-Riddle Aeronautical University, United States), Jaime Rubio Hervas(Infinium Robotics Pte Ltd, Singapore)

This paper presents a nonlinear control method to asymptotically regulate thermoacoustic oscillations in a Rijke-type system in the presence of dynamic model uncertainty and unknown disturbances. A mathematical model that includes unmodeled nonlinearities and parametric uncertainty is first introduced. A nonlinear control law is then rigorously developed to compensate for the parametric uncertainty and unmodeled nonlinearities.

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