Magnetically controllable reactor based multi-FACTS coordination control strategy

2021 ◽  
Vol 133 ◽  
pp. 107272
Author(s):  
Zhou Li ◽  
Kashif Mehmood ◽  
Kaihua Xie
Keyword(s):  
Control Strategy ◽  
Coordination Control ◽  
Controllable Reactor

Wind Farm Predictive Coordination Control Strategy

2020 ◽  
Author(s):  
Xue Xia ◽  
Huan Xie ◽  
Tianqi Zhao ◽  
Zesen Wang ◽  
Hao Liang ◽  
...  
Keyword(s):  
Control Strategy ◽  
Wind Farm ◽  
Coordination Control

Time-Optimal Coordination Control for the Gear-Shifting Process in Electric-Driven Mechanical Transmission (Dog Clutch) without Impacts

2020 ◽  
Vol 9 (2) ◽  
pp. 155-168
Author(s):  
Ziwang Lu ◽  
◽  
Guangyu Tian ◽  
Keyword(s):  
Control Strategy ◽  
Position Control ◽  
Control Method ◽  
Synchronization Control ◽  
Mechanical Transmission ◽  
Coordination Control ◽  
Optimal Position ◽  
Drive Motor ◽  
Time Optimal ◽  
Optimal Coordination

Torque interruption and shift jerk are the two main issues that occur during the gear-shifting process of electric-driven mechanical transmission. Herein, a time-optimal coordination control strategy between the the drive motor and the shift motor is proposed to eliminate the impacts between the sleeve and the gear ring. To determine the optimal control law, first, a gear-shifting dynamic model is constructed to capture the drive motor and shift motor dynamics. Next, the time-optimal dual synchronization control for the drive motor and the time-optimal position control for the shift motor are designed. Moreover, a switched control for the shift motor between a bang-off-bang control and a receding horizon control (RHC) law is derived to match the time-optimal dual synchronization control strategy of the drive motor. Finally, two case studies are conducted to validate the bang-off-bang control and RHC. In addition, the method to obtain the appropriate parameters of the drive motor and shift motor is analyzed according to the coordination control method.

scholarly journals Fuzzy Coordination Control Strategy and Thermohydraulic Dynamics Modeling of a Natural Gas Heating System for in Situ Soil Thermal Remediation

Entropy ◽  
2019 ◽  
Vol 21 (10) ◽  
pp. 971 ◽  
Author(s):  
Zhai ◽  
Yang ◽  
Li ◽  
Jiang ◽  
Ye ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Natural Gas ◽  
Control Strategy ◽  
Control Strategies ◽  
Heating System ◽  
Coordination Control ◽  
Gas Heating ◽  
Thermal Remediation ◽  
Reduce Energy Consumption

Soil contamination remains a global problem. Among the different kinds of remediation technologies, in situ soil thermal remediation has attracted great attention in the environmental field, representing a potential remedial alternative for contaminated soils. Soils need to be heated to a high temperature in thermal remediation, which requires a large amount of energy. For the natural gas heating system in thermal remediation, a fuzzy coordination control strategy and thermohydraulic dynamics model have been proposed in this paper. In order to demonstrate the superiority of the strategy, the other three traditional control strategies are introduced. Analysis of the temperature rise and energy consumption of soils under different control strategies were conducted. The results showed that the energy consumption of fuzzy coordination control strategy is reduced by 33.9% compared to that of the traditional control strategy I, constant natural gas flow and excess air ratio. Further, compared to the traditional control strategy II, constant excess air ratio and desired outlet temperature of wells, the strategy proposed can reduce energy consumption by 48.7%. The results illustrate the superiority of the fuzzy coordination control strategy, and the strategy can greatly reduce energy consumption, thereby reducing the cost of in situ soil thermal remediation.

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