A robust control strategy for parallel-connected distributed generation using real-time simulation

Author(s):  
Allal M. Bouzid ◽  
Pierre Sicard ◽  
Jean-Nicolas Paquin ◽  
Amine Yamane
2014 ◽  
Vol 703 ◽  
pp. 335-338
Author(s):  
Qin Zhang ◽  
Yu Xin Sun ◽  
Huang Qiu Zhu ◽  
Xian Xing Liu

A bearingless induction motor is a strong coupled complex system, the decoupling control of torque and radial suspension force is the premise of the stable operation of the bearingless induction motor. In this paper, the principle of bearingless induction motor is expounded. The magnetic mathematical models of bearingless induction motor are created. The rotor field oriented control strategy is designed. The control strategy is validated with Matlab/simulink. Real-time simulation model based on dSPACE is given and the platform based on dSPACE is constructed. The results show that this method has good decoupling control performance. The actual system development and experiment process confirms that the dSPACE real-time simulation platform can shorten the development time and facilitate the development process, and save costs during the design and test period.


2013 ◽  
Vol 278-280 ◽  
pp. 1704-1707
Author(s):  
Ze Yu Chen ◽  
Guang Yao Zhao

For investigating the feasibility of control strategy used in parallel hybrid electric vehicle, a D2P real-time simulation is introduced. A new multi-mode rule-based control strategy is proposed. The strategy is based on splitting the torque from the motor and engine so that these power sources can be operated at high efficiency. A real-time simulation platform is built based on D2P system. Real driver inputs and controller are applied while controlled objects are simulated using the model of parallel hybrid electric system computed in D2P module. Strategy is validated by D2P real-time simulation, which results show that the presented strategy is feasible and effective.


2011 ◽  
Vol 128-129 ◽  
pp. 965-969
Author(s):  
Xu Dong Liu ◽  
Qing Wu Fan ◽  
Bang Gui Zheng ◽  
Jian Min Duan

To shorten design period and reduce development costs, computer modeling & simulation is important for HEV design and development. In this paper, real-time simulation for a Series Hybrid Electric Vehicle (SHEV) is made to test its fuzzy logic control strategy based on dSPACE-DS1103 development kits. The whole real-time simulation schematic is designed and the vehicle forward-facing simulation model is set up. Driver behavior is simulated by two potentiometers and introduced into the system to realize close-loop control. A real-time monitoring interface is also developed to observe the experiment results. Experiment results show that the real-time simulation platform works well and the SHEV fuzzy logic control strategy is effective.


1997 ◽  
Vol 21 (1-2) ◽  
pp. S1111-S1115
Author(s):  
P Lundstrøm

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