Review of Real-Time Simulator and the Steps Involved for Implementation of a Model from MATLAB/SIMULINK to Real-Time

Mikkili, Suresh; Panda, Anup Kumar; Prattipati, Jayanthi

doi:10.1007/s40031-014-0128-6

Cited by 32 publications

(18 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…OPAL-RT real-time simulation (RTS) technology is adopted in this study for electricity time-series simulations, as shown in Fig. 3 [12]. In RTS environment, the Host side and Target sider are two major parts.…”

Section: Simulation Mechanismmentioning

confidence: 99%

Residential electricity saving on a DC-coupled hybrid microgrid by the real-time simulation

2018

View full text Add to dashboard Cite

In this paper, a DC-coupled hybrid microgrid is investigated and a simulation-based electricity analysis manner by using the OPAL-RT real-time simulation is developed for the discussion of the energysaving issue on the microgrid. Methodologies include modelling, simulation mechanism, and the development of control strategies are presented, and two different electricity price rules are introduced to calculate the residential electricity that from the investigated microgrid based on the designed scenarios. Results show that the benefit of electricity saving provided by the operation of the microgrid system are reported.

show abstract

Section: Simulation Mechanismmentioning

confidence: 99%

Residential electricity saving on a DC-coupled hybrid microgrid by the real-time simulation

2018

View full text Add to dashboard Cite

show abstract

“…For stability, the switching vector is obtained [17,26]: S(x) < 0, thereby constraining the effect of the external disturbance. However, the high frequency switching plane increases non linearity of the observer, leading to chattering.…”

Section: Structure Of Sliding Mode Luenberger State Observermentioning

confidence: 99%

Real-Time Analysis of a Modified State Observer for Sensorless Induction Motor Drive Used in Electric Vehicle Applications

Krishna¹,

Daya

Padmanaban

et al. 2017

Energies

View full text Add to dashboard Cite

Abstract:The purpose of this work is to present an adaptive sliding mode Luenberger state observer with improved disturbance rejection capability and better tracking performance under dynamic conditions. The sliding hyperplane is altered by incorporating the estimated disturbance torque with the stator currents. In addition, the effects of parameter detuning on the speed convergence are observed and compared with the conventional disturbance rejection mechanism. The entire drive system is first built in the Simulink environment. Then, the Simulink model is integrated with real-time (RT)-Lab blocksets and implemented in a relatively new real-time environment using OP4500 real-time simulator. Real-time simulation and testing platforms have succeeded offline simulation and testing tools due to their reduced development time. The real-time results validate the improvement in the proposed state observer and also correspond to the performance of the actual physical model.

show abstract

“…For stability, the switching vector is obtained [17,26]: increases non linearity of the observer, leading to chattering. Therefore, to eliminate the effect of this unwanted phenomenon, a saturation function having boundary layer of width (Φ) is used by replacing sign(S) with sat(S/Φ) and is given by [17]:…”

Section: Structure Of Sliding Mode Luenberger State Observermentioning

confidence: 99%

Real-time Analysis of a Modified State Observer for Sensorless Induction Motor Drive used in Electric Vehicle Applications

Srinivasan¹,

L²,

Padmanaban³

et al. 2017

Preprint

View full text Add to dashboard Cite

Abstract:The purpose of this work is to present an adaptive sliding mode luenberger state observer with improved disturbance rejection capability and better tracking performance under dynamic conditions. The sliding hyperplane is altered by incorporating the estimated disturbance torque with the stator currents. Also, the effects of parameter detuning on the speed convergence is observed and compared with the conventional disturbance rejection mechanism. The entire drive system is first built in simulink environment. Then, the simulink model is integrated with RT-Lab blocksets and implemented in a relatively new real-time environment using OP4500 real-time simulator. Real-time simulation and testing platforms have succeeded offline simulation and testing tools due to their reduced development time. The real-time results validate the improvement in the proposed state observer and also correspond to the performance of the actual physical model.

show abstract

Review of Real-Time Simulator and the Steps Involved for Implementation of a Model from MATLAB/SIMULINK to Real-Time

Cited by 32 publications

References 15 publications

Residential electricity saving on a DC-coupled hybrid microgrid by the real-time simulation

Residential electricity saving on a DC-coupled hybrid microgrid by the real-time simulation

Real-Time Analysis of a Modified State Observer for Sensorless Induction Motor Drive Used in Electric Vehicle Applications

Real-time Analysis of a Modified State Observer for Sensorless Induction Motor Drive used in Electric Vehicle Applications

Contact Info

Product

Resources

About