Relevant bibliographies by topics / OP5600 digital simulator

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Academic literature on the topic 'OP5600 digital simulator'

Author: Grafiati
Published: 4 June 2025
Last updated: 23 June 2025

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Journal articles on the topic "OP5600 digital simulator"

1

Mansour, Bechar, Hazzab Abdeldjebar, habbab Mohamed, and Sicard Pierre. "Reduced-order observer for real-time implementation speed sensorless control of induction using RT-LAB software." International Journal of Power Electronics and Drive System (IJPEDS) 10, no. 3 (2019): 1148–56. https://doi.org/10.11591/ijpeds.v10.i3.pp1148-1156.

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In this paper, Reduced-Order Observer For Real-Time Implementation Speed Sensorless Control of Induction Using RT-LAB Softwareis presented. Speed estimation is performed through a reduced-order observer. The stability of the proposed observer is proved based on Lyapunov’s theorem. The model is initially built offline using Matlab/Simulink and implemented in real-time environment using RT-LAB package and an OP5600 digital simulator. RTLAB configuration has two main subsystems master and console subsystems. These two subsystems were coordinated to achieve the real-time simulation. In order to verify the feasibility and effectiveness of proposed method, experimental results are presented over a wide speed range, including zero speed.
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2

Bechar, Mansour, Abdeldjebar Hazzab, Mohamed Habbab, and Pierre Sicard. "Reduced-order observer for real-time implementation speed sensorless control of induction using RT-LAB software." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 3 (2019): 1148. http://dx.doi.org/10.11591/ijpeds.v10.i3.pp1148-1156.

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Abstract:
In this paper, Reduced-Order Observer For Real-Time Implementation Speed Sensorless Control of Induction Using RT-LAB Softwareis presented. Speed estimation is performed through a reduced-order observer. The stability of the proposed observer is proved based on Lyapunov’s theorem. The model is initially built offline using Matlab/Simulink and implemented in real-time environment using RT-LAB package and an OP5600 digital simulator. RT-LAB configuration has two main subsystems master and console subsystems. These two subsystems were coordinated to achieve the real-time simulation. In order to verify the feasibility and effectiveness of proposed method, experimental results are presented over a wide speed range, including zero speed.
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3

Hamed, A., and A. Hazzab. "Modeling and Real-Time Simulation of Induction Motor Using RT-LAB." International Journal of Power Electronics and Drive Systems (IJPEDS) 9, no. 4 (2018): 1476. http://dx.doi.org/10.11591/ijpeds.v9.i4.pp1476-1485.

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<span lang="EN-US">This paper presents the modeling and real-time simulation of an induction motor. The RT- LAB simulation software enables the parallel simulation of power drives and electric circuits on clusters of a PC running QNX or RT- Linux operating systems at sample time below 10 µs. Using standard Simulink models including SimPowerSystems models, RT-LAB build computation and communication tasks are necessary to make parallel simulation of electrical systems. The code generated by the Real-Time Workshop of RT- LAB is linked to the OP5600 digital real-time simulator. A case study example of real-time simulation of an induction motor system is presented.This paper discusses methods to overcome the challenges of real-time simulation of an induction motor system synchronizing with a real-time clock.</span>
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4

Sachan, Shailu, and Pankaj Swarnkar. "Robust Motion Planning in Robot-Assisted Surgery for Nonlinear Incision Trajectory." Electronics 12, no. 3 (2023): 762. http://dx.doi.org/10.3390/electronics12030762.

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In the era of digital OTs (operating theatres), the developments in robot-assisted surgery (RAS) can greatly benefit the medical field. RAS is a method of technological advancement that uses robotic articulations to assist in complicated surgeries. Its implementation improves the ability of the specialized doctor to perform surgery to a great extent. The paper addresses the dynamics and control of the highly non-linear 3DOF surgical robot manipulator in the event of external disturbances and uncertainties. The integration of non-linear robust SMC (sliding mode control) with a smoothing mechanism, a FOPID (fractional-order proportional integral derivative) controller, and a fuzzy controller provides a high degree of robustness and minimal chatter. The addition of fuzzy logic to the controller, named intelligent fuzzy-SFOSMC (smoothing fractional order sliding mode controller) improves the system’s performance by ruling out the disturbances and uncertainties. The prototype model is developed in a laboratory and its outcomes are validated on OP5600, a real-time digital simulator. Simulation and experimental results of the proposed fuzzy-SFOSMC are compared with conventional controllers, which illustrates the efficacy and superiority of the proposed controller’s performance during the typical surgical situations. The proposed fuzzy-SFOSMC outperforms conventional controllers by providing greater precision and robustness to time-varying nonlinear multi-incision trajectories.
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5

Sachan, Shailu, and Pankaj Swarnkar. "Intelligent Fractional Order Sliding Mode Based Control for Surgical Robot Manipulator." Electronics 12, no. 3 (2023): 729. http://dx.doi.org/10.3390/electronics12030729.

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In the era of digital OT (Operating Theatre), the developments in Robot-Assisted Surgery (RAS) can greatly benefit the medical field. RAS is a method of technological advancement that uses surgical robots to assist complicated surgeries. Its implementation improves the ability of the specialised doctors to perform surgery to a great extent. This paper addresses the dynamics and control of the highly non-linear 3DOF surgical robot manipulator in the occurrence of external disturbances and uncertainties. The integration of non-linear robust SMC (Sliding Mode Control) with smoothing mechanism, FOPID (Fractional-Order Proportional Integral Derivative) controller and fuzzy controller provides a high degree of robustness and minimal chatter. The addition of type-2 fuzzy logic to the controller, named intelligent T2F-SFOSMC (Type-2 Fuzzy-Smoothing Fractional Order Sliding Mode Controller), improves the system’s performance by ruling out the disturbances and uncertainties. The prototype model is developed in a laboratory and its outcomes are validated on OP5600: a real-time digital simulator. The simulation results and experimental results of the proposed T2F-SFOSMC are compared with conventional controllers, which illustrates the efficacy and superiority of the proposed controller’s performance during the typical situation of surgery. The proposed T2F-SFOSMC outperforms conventional controllers by providing greater precision, stability and robustness to time-varying nonlinear multi-incision trajectory.
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6

Mustapha, Bendjima, Hazzab Abdeldjebar, Bechar Mansour, et al. "Real-time implementation of SVPWM-sensorless vector control of induction motor using an extended Kalman filter." Real-time implementation of SVPWM-sensorless vector control of induction motor using an extended Kalman filter 29, no. 3 (2023): 1402–11. https://doi.org/10.11591/ijeecs.v29.i3.pp1402-1411.

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In this research paper, space vector pulse width modulation (SVPWM)- sensorless vector control of an induction motor using an extended Kalman filter is presented. The aim of the proposed sensorless control method is to design, implement, and test a sensorless vector control scheme by simulation and experimental implementation. An extended Kalman filter (EKF) simultaneously estimates the rotor speed, the stator stationary axis components (iαs, iβs), and the rotor fluxes (αs, βs). The measured stator voltages and currents are employed as inputs for a recursive filter. Simulation results under various operating conditions validate the performances and effectiveness of the proposed observer. The experimental system consists of a host computer with two subsystems: console (SC) and master (SM). The SM subsystem converts to real-time C code, and this code is uploaded into OP5600 real time digital simulation (RTDS) for real-time execution. The obtained experimental results prove that the EKF speed observer can replace the speed or position sensor. This has the benefits of reducing the drive system’s size and overall cost as well as high system reliability.
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7

Bendjima, Mustapha, Abdeldjebar Hazzab, Mansour Bechar, et al. "Real-time implementation of SVPWM-sensorless vector control of induction motor using an extended Kalman filter." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 3 (2023): 1402. http://dx.doi.org/10.11591/ijeecs.v29.i3.pp1402-1411.

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Abstract:
<p>In this research paper, space vector pulse width modulation (SVPWM)-sensorless vector control of an induction motor using an extended Kalman filter is presented. The aim of the proposed sensorless control method is to design, implement, and test a sensorless vector control scheme by simulation and experimental implementation. An extended Kalman filter (EKF) simultaneously estimates the rotor speed, the stator stationary axis components (<em>i<sub>αs</sub></em>, <em>i<sub>βs</sub></em>), and the rotor fluxes (<em>j<sub>αs</sub></em>, <em>j<sub>βs</sub></em>). The measured stator voltages and currents are employed as inputs for a recursive filter. Simulation results under various operating conditions validate the performances and effectiveness of the proposed observer. The experimental system consists of a host computer with two subsystems: console (SC) and master (SM). The SM subsystem converts to real-time C code, and this code is uploaded into OP5600 real time digital simulation (RTDS) for real-time execution. The obtained experimental results prove that the EKF speed observer can replace the speed or position sensor. This has the benefits of reducing the drive system’s size and overall cost as well as high system reliability.</p>
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