Comparison between human supervisory control and hierarchical control system based on human's knowledge in petroleum plant

2002 ◽  
Author(s):  
T. Kobayashi ◽  
T. Tani ◽  
N. Abe ◽  
S. Miyamoto
Keyword(s):  
Control System ◽  
Supervisory Control ◽  
Hierarchical Control ◽  
Human Supervisory Control ◽  
Petroleum Plant

Application of Cooperative Control to Petroleum Plants Using Fuzzy Supervisory Control and Model Predictive Multi-variable Control

2001 ◽  
Vol 5 (6) ◽  
pp. 333-337 ◽  
Author(s):  
Takahiro Kobayashi ◽  
◽  
Tetsuji Tani
Keyword(s):  
Fuzzy Logic ◽  
Time Delay ◽  
Statistical Model ◽  
Supervisory Control ◽  
Cooperative Control ◽  
Large Time ◽  
Hierarchical Control ◽  
Oil Refinery ◽  
Variable Control ◽  
Petroleum Plant

This paper describes hierarchical control with fuzzy supervisory control and model predictive multivariable control (MPC) in a petroleum plant. MPC is effective in time delay, interference, and handling constraints. Fuzzy logic controllers are effective for plants with large time delay and non-linearity. Our proposed hierarchical control combines their advantages. Fuzzy supervisory control, which determines set points for MPC, consists of an estimation block and a compensation block. We use a statistical model with multi-regression analysis for the estimation block to estimate parameters of plant operation, and fuzzy logic for the compensation block to correct output of the statistical model. Hierarchical control has been applied to an actual plant in an oil refinery, and showed satisfactory performance.

Innovative Systems for Human Supervisory Control of Unmanned Vehicles

2012 ◽  
Author(s):  
Andrew S. Clare ◽  
Jason C. Ryan ◽  
Kimberly F. Jackson ◽  
M. L. Cummings
Keyword(s):  
Supervisory Control ◽  
Unmanned Vehicles ◽  
Human Supervisory Control

Supervisory Control System for Ship Damage Control: Volume 8 - User's Manual

2001 ◽  
Author(s):  
Ron Carbonari ◽  
Mike Pilat ◽  
David C. Wilkins ◽  
Patricia A. Tatem ◽  
Frederick W. Williams
Keyword(s):  
Control System ◽  
Supervisory Control ◽  
Control Volume ◽  
Damage Control ◽  
Supervisory Control System

The Research on Substation Computer Monitoring System

2014 ◽  
Vol 1049-1050 ◽  
pp. 1196-1199
Author(s):  
Yu Ming Ma ◽  
Lin Liu
Keyword(s):  
Control System ◽  
Monitoring System ◽  
Supervisory Control ◽  
System Structure ◽  
Management Model ◽  
Monitoring Technology ◽  
Computer Monitoring ◽  
Supervisory Control System ◽  
Operation And Management

In this paper, the substation computer supervisory control system structure, content, features and characteristics were described. In recent years, substation monitoring technology has been developed rapidly, and has been widely used. However, due to the promotion of our country is in its infancy, technology is not mature, the new operation and management model is being explored, and thus in the operation also exposed some problems.

PROTOTYPE OF TRANSFEMORAL PROSTHESIS WITH AN ACTIVE ARTIFICIAL KNEE

2020 ◽  
Vol 4 (1) ◽  
pp. 172-180
Author(s):  
A.M. POLIAKOV ◽  
P.K. SOPIN ◽  
V.B. LAZAREV ◽  
A.I. RYZHKOV ◽  
M.A. KOLESOVA ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Control System ◽  
Knee Joint ◽  
Hierarchical Control ◽  
Control Level ◽  
Quality Criteria ◽  
Optimal Conditions ◽  
Invariant Moments ◽  
Biological Similarity ◽  
Transfemoral Prosthesis

This article presents a transfemoral prosthesis prototype with active control of an artificial knee joint. One of the main criteria used in the design of the prosthesis was to achieve the maximum biological similarity of this device in order to provide optimal conditions conducive to user natural walking. The artificial knee joint, designed on the basis of a polycentric higed mechanism with intersecting links, provides such conditions at the design level, and a three-level hierarchical control system, built on the basis of an intelligent-synergetic concept, at the control level. To recognize user's intentions, the intelligent subsystem uses algorithms for comparing graphic images of user's walking phases by the method of estimating the invariant moments of Hu. After that, prosthesis elements movements are planned in the synergistic subsystem in accordance with the synergistic quality criteria. The algorithms used in the control system are adjusted depending on what type of artificial foot is used in the prosthesis: active, semi-active or passive (purely mechanical). Mathematical modeling of the prosthesis operation shows that the nature of its functioning corresponds to the quality criteria adopted in the design.

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