scholarly journals A New Active Control Strategy for Pantograph in High-Speed Electrified Railways Based on Multi-Objective Robust Control

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 173719-173730 ◽  
Author(s):  
Jing Zhang ◽  
Hantao Zhang ◽  
Baolin Song ◽  
Songlin Xie ◽  
Zhigang Liu
Keyword(s):  
Robust Control ◽  
Active Control ◽  
Control Strategy ◽  
High Speed ◽  
Multi Objective ◽  
Active Control Strategy ◽  
Electrified Railways

An investigation on the active control strategy for a high-speed pantograph using co-simulations

2018 ◽  
Vol 233 (4) ◽  
pp. 370-383 ◽  
Author(s):  
Paweł Zdziebko ◽  
Adam Martowicz ◽  
Tadeusz Uhl
Keyword(s):  
Active Control ◽  
Control Strategy ◽  
High Speed ◽  
Simulation Environment ◽  
Proportional Integral Derivative ◽  
Proportional Integral Derivative Controller ◽  
Control Approach ◽  
Combined Control ◽  
Simulation Results ◽  
Active Control Strategy

The article presents simulation results on the active control strategy for a railway pantograph to improve contact quality in pantograph–catenary interface. Three different approaches were investigated: nominal torque tuning, torque active control and combination of them—combined control approach. The first control scenario minimizes the pantograph nominal uplift force exerted on the catenary. The second approach is based on active pantograph toque control, employing the proportional–integral–derivative controller, to compensate actual contact force error. The last control scenario links the above-mentioned approaches. Promising results are obtained employing the co-simulation environment recently presented by the authors.

scholarly journals ACTIVE CONTROL STRATEGY FOR DENSITY-WAVE IN GAS-LIFTED WELLS

2006 ◽  
Vol 39 (2) ◽  
pp. 1075-1080 ◽  
Author(s):  
Laure Sinègre ◽  
Nicolas Petit ◽  
Thierry Saint-Pierre ◽  
Pierre Lemétayer
Keyword(s):  
Active Control ◽  
Control Strategy ◽  
Density Wave ◽  
Active Control Strategy

scholarly journals Active Control and Validation of the Electric Vehicle Powertrain System Using the Vehicle Cluster Environment

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3642 ◽  
Author(s):  
Ming Ye ◽  
Yitao Long ◽  
Yi Sui ◽  
Yonggang Liu ◽  
Qiao Li
Keyword(s):  
Active Control ◽  
Control Strategy ◽  
Passive Control ◽  
Prediction Algorithm ◽  
Control Effect ◽  
Demand Forecast ◽  
Powertrain System ◽  
Cluster Environment ◽  
Active Control Strategy ◽  
Vehicle Powertrain

With the development of intelligent vehicle technologies, vehicles can obtain more and more information from various sensors. Many researchers have focused on the vertical and horizontal relationships between vehicles in a vehicle cluster environment and control of the vehicle power system. When the vehicle is driving in the cluster environment, the powertrain system should quickly respond to the driver’s dynamic demand, so as to achieve the purpose of quickly passing through the cluster environment. The vehicle powertrain system should be regarded as a separate individual to research its active control strategy in a vehicle cluster environment to improve the control effect. In this study, the driving characteristics of vehicles in a cluster environment have been analyzed, and a vehicle power-demanded prediction algorithm based on a vehicle-following model has been proposed in a cluster environment. Based on the vehicle power demand forecast and driver operation, an active control strategy of the vehicle powertrain system has been designed considering the passive control strategy of the powertrain system. The results show that the vehicle powertrain system can ensure a sufficient backup power with the active control proposed in the paper, and the motor efficiency is improved by 0.61% compared with that of the passive control strategy. Moreover, the overall efficiency of the powertrain system is increased by 0.6% and the effectiveness of the active control is validated using the vehicle cluster environment.

Vibration Control of a Translating Beam With an Active Control Strategy on the Basis of the Fuzzy Sliding Mode Control

2013 ◽  
Author(s):  
Liming Dai ◽  
Lin Sun
Keyword(s):  
Sliding Mode Control ◽  
Vibration Control ◽  
Active Control ◽  
Control Strategy ◽  
Sliding Mode ◽  
Nonlinear Dynamic System ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Fuzzy Sliding Mode ◽  
Active Control Strategy

An active control strategy is developed for nonlinear vibration control of an axially translating beam applied in engineering field. The control strategy is established on the basis of Fuzzy Sliding Mode Control. The nonlinear model governing the beam system is described with a six-degree nonlinear dynamic system. Corresponding to the multi-degree nonlinear system, the active control strategy is developed. The proposed control strategy is proven to be effective in controlling and stabilizing the nonlinear motions especially chaotic motion of the beam.

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