Control strategy for systems with input-induced nonlinearities: A printing system case study

2012 ◽  
Author(s):  
C. Cochior ◽  
P. P. J. van den Bosch ◽  
R. Waarsing ◽  
J. Verriet
Keyword(s):  
Control Strategy ◽  
Printing System

scholarly journals Optimization of Low Head Axial-Flow Turbines for an Overtopping BReakwater for Energy Conversion: A Case Study

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4618
Author(s):  
Antonio Mariani ◽  
Gaetano Crispino ◽  
Pasquale Contestabile ◽  
Furio Cascetta ◽  
Corrado Gisonni ◽  
...  
Keyword(s):  
Energy Conversion ◽  
Control Strategy ◽  
Energy Production ◽  
San Antonio ◽  
Axial Flow ◽  
Complex Process ◽  
Low Head ◽  
Wave Power Conversion ◽  
And Control

Overtopping-type wave power conversion devices represent one of the most promising technology to combine reliability and competitively priced electricity supplies from waves. While satisfactory hydraulic and structural performance have been achieved, the selection of the hydraulic turbines and their regulation is a complex process due to the very low head and a variable flow rate in the overtopping breakwater set-ups. Based on the experience acquired on the first Overtopping BReakwater for Energy Conversion (OBREC) prototype, operating since 2016, an activity has been carried out to select the most appropriate turbine dimension and control strategy for such applications. An example of this multivariable approach is provided and illustrated through a case study in the San Antonio Port, along the central coast of Chile. In this site the deployment of a breakwater equipped with OBREC modules is specifically investigated. Axial-flow turbines of different runner diameter are compared, proposing the optimal ramp height and turbine control strategy for maximizing system energy production. The energy production ranges from 20.5 MWh/y for the smallest runner diameter to a maximum of 34.8 MWh/y for the largest runner diameter.

scholarly journals 3D printing system for earth-based construction: Case study of cob

2021 ◽  
Vol 124 ◽  
pp. 103577
Author(s):  
Mohamed Gomaa ◽  
Wassim Jabi ◽  
Alejandro Veliz Reyes ◽  
Veronica Soebarto
Keyword(s):  
3D Printing ◽  
Printing System

scholarly journals An Energy-Based Control Strategy for Battery Energy Storage Systems: A Case Study on Microgrid Applications

Energies ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 215 ◽  
Author(s):  
Rui Hou ◽  
Thai-Thanh Nguyen ◽  
Hak-Man Kim ◽  
Huihui Song ◽  
Yanbin Qu
Keyword(s):  
Energy Storage ◽  
Control Strategy ◽  
Storage Systems ◽  
Energy Storage Systems ◽  
Battery Energy Storage ◽  
Battery Energy Storage Systems ◽  
Battery Energy

scholarly journals New time delay estimation-based virtual decomposition control for n-DoF robot manipulator

2021 ◽  
Vol 10 (3) ◽  
pp. 192
Author(s):  
Hachmia Faqihi ◽  
Khalid Benjelloun ◽  
Maarouf Saad ◽  
Mohammed Benbrahim ◽  
M. Nabil Kabbaj
Keyword(s):  
Time Delay ◽  
Dynamic Model ◽  
Control Strategy ◽  
Robot Manipulator ◽  
Time Delay Estimation ◽  
Lyapunov Theory ◽  
Degree Of Freedom ◽  
Delay Estimation ◽  
The Stability

<p>One of the most efficient approaches to control a multiple degree-of-freedom robot manipulator is the virtual decomposition control (VDC). However, the use of the re- gressor technique in the conventionnal VDC to estimate the unknown and uncertaities parameters present some limitations. In this paper, a new control strategy of n-DoF robot manipulator, refering to reorganizing the equation of the VDC using the time delay estimation (TDE) have been investigated. In the proposed controller, the VDC equations are rearranged using the TDE for unknown dynamic estimations. Hence, the decoupling dynamic model for the manipulator is established. The stability of the overall system is proved based on Lyapunov theory. The effectiveness of the proposed controller is proved via case study performed on 7-DoF robot manipulator and com- pared to the conventionnal Regressor-based VDC according to some evalution criteria. The results carry out the validity and efficiency of the proposed time delay estimation- based virtual decomposition controller (TD-VDC) approach.</p>

Improving Mariner/Ship Interaction

1994 ◽  
Vol 31 (02) ◽  
pp. 94-105
Author(s):  
Ian J. Lowry
Keyword(s):  
Control Strategy ◽  
Interface Design ◽  
Statistical Data ◽  
Design Spectrum ◽  
Confidence Levels ◽  
Codes Of Practice ◽  
Potential Benefits ◽  
Ship Control ◽  
Naval Architect

This paper focuses on mariner-ship interaction from the practical end of the design spectrum. Statistical data on marine collisions, rammings and groundings attribute a considerable percentage of marine casualties to poor ship controllability. A vessel's controllability is of a dichotomous nature, constrained not only by its inherent controllability characteristics, fixed by the naval architect, but also by the skill and the expertise of the shiphandler in initiating a conclusive control strategy. The results of an international survey of naval architects and shiphandlers are presented. The techniques of frequency distribution and factor analysis were used to identify the key ship controllability effectors. This survey highlights where improvements in terms of interface design can be made. The survey identifies the key controllability effectors of naval architects and ship-handlers for effective mariner-ship interaction. A case study is presented which identifies the applicability of part-task ship simulation to improve confidence levels in practical ship control. For effective mariner/ship interaction, the designers of ships must use the various codes of practice for a ship's bridge in order to improve the bridge as a control station, and marine licensing authorities have to realize the potential benefits that training with computerized ship simulation can bring the industry.

Role of pine wilt disease based on optimal control strategy at multiple scales: A case study of Korea

2021 ◽  
Vol 46 (4) ◽  
Author(s):  
Muhammad Ozair ◽  
Takasar Hussain ◽  
Kashif Ali Abro ◽  
Sajid Jameel ◽  
Aziz Ullah Awan
Keyword(s):  
Optimal Control ◽  
Control Strategy ◽  
Multiple Scales ◽  
Pine Wilt Disease ◽  
Wilt Disease ◽  
Optimal Control Strategy ◽  
Pine Wilt
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