scholarly journals Proposal and Verification of New Concept Rolling Mill RealizingReal-Time Estimation and Control of Roll Force Distribution

2011 ◽  
Vol 52 (609) ◽  
pp. 1094-1098 ◽  
Author(s):  
Shigeru OGAWA ◽  
Toshiyuki SHIRAISHI ◽  
Tetsuhiko KANDA
Keyword(s):  
Rolling Mill ◽  
Time Estimation ◽  
Force Distribution ◽  
Roll Force ◽  
Estimation And Control ◽  
And Control

scholarly journals Verification of Real-Time Estimation and Control of Roll Force Distributionin a Commercial Scale Intelligent Mill for Flat Products

2011 ◽  
Vol 52 (609) ◽  
pp. 1099-1103 ◽  
Author(s):  
Shigeru OGAWA ◽  
Kenji YAMADA ◽  
Toshiyuki SHIRAISHI ◽  
Yasuhiro HIGASHIDA ◽  
Yutaka SADANO ◽  
...  
Keyword(s):  
Real Time ◽  
Time Estimation ◽  
Roll Force ◽  
Commercial Scale ◽  
Real Time Estimation ◽  
Estimation And Control ◽  
And Control

scholarly journals Joint structure for the real-time estimation and control of automotive dry clutch engagement

2018 ◽  
Vol 51 (15) ◽  
pp. 1062-1067 ◽  
Author(s):  
Mojtaba Sharifzadeh ◽  
Mario Pisaturo ◽  
Arash Farnam ◽  
Adolfo Senatore
Keyword(s):  
Real Time ◽  
Time Estimation ◽  
The Real ◽  
Joint Structure ◽  
Clutch Engagement ◽  
Real Time Estimation ◽  
Dry Clutch ◽  
Estimation And Control ◽  
And Control

Real-time estimation and control of divertor surface heat flux on the DIII-D tokamak

2021 ◽  
Vol 171 ◽  
pp. 112560
Author(s):  
H. Anand ◽  
D. Eldon ◽  
D. Humphreys ◽  
A. Hyatt ◽  
B. Sammuli ◽  
...  
Keyword(s):  
Heat Flux ◽  
Real Time ◽  
Surface Heat Flux ◽  
Time Estimation ◽  
Surface Heat ◽  
Real Time Estimation ◽  
Estimation And Control ◽  
And Control

Robust Weight-on-Bit Tracking in Drilling Operations: A Stochastic, Nonlinear Approach

2017 ◽  
Author(s):  
Parham Pournazari ◽  
Benito R. Fernández ◽  
Eric van Oort
Keyword(s):  
Oil And Gas ◽  
Time Estimation ◽  
Gas Drilling ◽  
Nonlinear Approach ◽  
Proposed Model ◽  
Weight On Bit ◽  
Drilling Operations ◽  
Real Time Estimation ◽  
Estimation And Control ◽  
And Control

Accurate control of weight-on-bit (WOB) in oil and gas drilling plays an important role in achieving high rates of penetration (ROP) and minimizing drillstring vibrations. In this paper, we propose a nonlinear, stochastic model of downhole WOB, and provide a framework for estimation, and control of the proposed model. We focus on real-time estimation of modeling and measurement uncertainties, and use these estimates to adapt the controller characteristics accordingly. The presented methodology is simulated for various scenarios, and benchmarked against existing control techniques in the industry.

Sign in / Sign up

Export Citation Format

Share Document