Experiments on Time-Optimization Control by Multiple Bang-Bang for Flexible Space Structures.

2000 ◽  
Vol 48 (560) ◽  
pp. 300-307 ◽  
Author(s):  
Hironori A. FUJII ◽  
Shin-ichi SUDA ◽  
Norifusa AKAGI
Keyword(s):  
Space Structures ◽  
Flexible Space Structures ◽  
Time Optimization ◽  
Optimization Control

Optimal acceleration profile for flexible space structures

1994 ◽  
Author(s):  
Hironori Fujii ◽  
Masayuki Nakagawa ◽  
Hirofumi Hatakenaka
Keyword(s):  
Space Structures ◽  
Flexible Space Structures ◽  
Acceleration Profile

Carbon Fiber Reinforced Rigidizable Space Structures

2005 ◽  
Vol 888 ◽  
Author(s):  
Stephen Andrew Sarles ◽  
Todd Bullions ◽  
Thompson Mefford ◽  
Judy Riffle ◽  
Don Leo
Keyword(s):  
Carbon Fiber ◽  
Temperature Control ◽  
Pi Controller ◽  
Space Structures ◽  
Heating Process ◽  
Thermosetting Resin ◽  
Resistive Heating ◽  
Flexible Space Structures ◽  
Material Stiffness ◽  
Reinforcing Material

ABSTRACTIn attempts to provide an active solution for the rigidization of flexible space structures, internal resistive heating is applied to a novel thermosetting resin. Carbon-fiber tow coated in U-Nyte Set 201A, which cures at ∼150°C, was heated by passing electric current through the reinforcing material. Using a proportional-integral (PI) controller, precise temperature control of the heating process was established. Samples cured via controlled internal resistive heating were heated to 160°C and underwent material consolidation in less than 7 minutes. A change in material stiffness was measured to be almost two orders of magnitude greater than that of an uncured material.

scholarly journals Research on the Application of Artificial Intelligence Technology in Power System Intelligent Dispatching Automation

2021 ◽  
Vol 2083 (4) ◽  
pp. 042047
Author(s):  
Hongying Liu
Keyword(s):  
Real Time ◽  
Reactive Power ◽  
Power Grid ◽  
Control Mode ◽  
Particle Swarm Algorithm ◽  
Automation System ◽  
Regional Power ◽  
Time Optimization ◽  
Optimization Control ◽  
Real Time Optimization

Abstract From the perspective of meeting the power quality requirements of users, the article analyses the characteristics of traditional voltage and reactive power control mode and the regional power grid reactive voltage optimization centralized closed-loop control mode (AVC system) based on the dispatch automation system (SCADA/EMS) from the perspective of technical management. Combining the reactive power/voltage real-time optimization control model, a real-time optimization control method of the regional power grid based on the improved differential evolution algorithm is proposed. The particle swarm algorithm is combined with the characteristics of reactive power/voltage control to improve the initial particle quality, reduce the optimization space, and introduce a crossover operator to improve the calculation speed and efficiency of the algorithm. Taking an actual regional power grid as an example, the simulation calculation of reactive power/voltage real-time optimization is carried out. The results show that the proposed algorithm and control strategy are feasible and effective.

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