The Experts below are selected from a list of 146652 Experts worldwide ranked by ideXlab platform
Praveen Jain - One of the best experts on this subject based on the ideXlab platform.
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a hybrid estimator for active reactive power Control of single phase distributed generation Systems with energy storage
IEEE Transactions on Power Electronics, 2016Co-Authors: Majid Pahlevani, Suzan Eren, Josep M Guerrero, Praveen JainAbstract:This paper presents a new active/reactive power closed-Loop Control System for a hybrid renewable energy generation System used for single-phase residential/commercial applications. The proposed active/reactive Control method includes a hybrid estimator, which is able to quickly and accurately estimate the active/reactive power values. The proposed Control System enables the hybrid renewable energy generation System to be able to perform real-time grid interconnection services such as active voltage regulation, active power Control, and fault ride-through. Simulation and experimental results demonstrate the superior performance of the proposed closed-Loop Control System.
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a d q rotating frame dc bus voltage Controller for bi directional single phase ac dc converters
European Conference on Cognitive Ergonomics, 2015Co-Authors: Sajjad Makhdoomi Kaviri, Praveen Jain, Majid Pahlevani, Bahador Mohammadpour, Alireza BakhshaiAbstract:This paper presents a closed-Loop Control technique in D-Q rotating frame for bi-directional single-phase AC/DC converters. The proposed Control System allows the active and reactive power Control in both directions from grid to vehicle and vehicle to grid, while Controlling the DC-bus voltage. Due to the lack of freedom degrees required for orthogonal Systems, using the D-Q frame is a challenge in single-phase power conditioning Systems. In this paper, an all-pass filter has been used to generate the orthogonal signals in the closed-Loop Control System. This method generates the orthogonal signals without degrading the dynamics of the closed-Loop Control System and with less noise in comparison to the other common methods such as differentiators. A DC-bus voltage estimator based on adaptive filter has also been used in this paper to remove the double frequency ripple and in turn increase the reliability and speed of the proposed Controller. The proposed Control scheme is used to implement the smart charging and power management strategies of the residential loads using electric vehicles as a storage System. Simulation and experimental results demonstrate the transient and steady-state performance of the proposed Controller in different modes of operation. Also the performance of the proposed DC-bus voltage estimator in removing the double frequency ripple as well as the application of the proposed Control scheme in implementation of power management strategies in a typical household, has been shown by using simulation results.
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A Fast DC-Bus Voltage Controller for Bidirectional Single-Phase AC/DC Converters
IEEE Transactions on Power Electronics, 2015Co-Authors: Majid Pahlevani, Praveen JainAbstract:This paper presents a new dc-bus voltage Control technique for single-phase bidirectional ac/dc converters. The proposed Controller is able to significantly improve the transient response of the dc-bus voltage Control Loop and provide a robust and reliable closed-Loop Control System. In the proposed approach, the dc value of the dc-bus voltage is precisely estimated through a specific adaptive filter. The structure of the proposed filter provides a very fast and robust estimation for the dc value of the dc-bus voltage. In particular, the proposed dc-extraction technique is able to precisely estimate the dc value in presence of double-frequency ripple mounted on top of the dc-bus voltage in single-phase ac/dc converters. Simulation and experimental results demonstrate the superior performance of the proposed closed-Loop Control System compared to the conventional ones.
Majid Pahlevani - One of the best experts on this subject based on the ideXlab platform.
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stability analysis of the slip mode frequency shift islanding detection in single phase pv inverters
International Symposium on Industrial Electronics, 2017Co-Authors: Bahador Mohammadpour, Milad Zareie, Suzan Eren, Majid PahlevaniAbstract:This paper presents the stability analysis of the slip mode frequency shift (SMS) islanding detection technique. The developed mathematical model is based on the precise dynamical equations of the closed-Loop Control System for a grid-connected inverter. In particular, singular perturbation theory is used to divide the closed-Loop dynamics into subsections with different rates of change. It is proven that this System complies with the mathematical conditions of the singular perturbation theory, and then the System stability analyzed accordingly. Also, the stability analysis has been performed for two modes of operation: the grid-connected mode and the islanded mode. Experimental results are presented to validate the analysis.
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a hybrid estimator for active reactive power Control of single phase distributed generation Systems with energy storage
IEEE Transactions on Power Electronics, 2016Co-Authors: Majid Pahlevani, Suzan Eren, Josep M Guerrero, Praveen JainAbstract:This paper presents a new active/reactive power closed-Loop Control System for a hybrid renewable energy generation System used for single-phase residential/commercial applications. The proposed active/reactive Control method includes a hybrid estimator, which is able to quickly and accurately estimate the active/reactive power values. The proposed Control System enables the hybrid renewable energy generation System to be able to perform real-time grid interconnection services such as active voltage regulation, active power Control, and fault ride-through. Simulation and experimental results demonstrate the superior performance of the proposed closed-Loop Control System.
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a d q rotating frame dc bus voltage Controller for bi directional single phase ac dc converters
European Conference on Cognitive Ergonomics, 2015Co-Authors: Sajjad Makhdoomi Kaviri, Praveen Jain, Majid Pahlevani, Bahador Mohammadpour, Alireza BakhshaiAbstract:This paper presents a closed-Loop Control technique in D-Q rotating frame for bi-directional single-phase AC/DC converters. The proposed Control System allows the active and reactive power Control in both directions from grid to vehicle and vehicle to grid, while Controlling the DC-bus voltage. Due to the lack of freedom degrees required for orthogonal Systems, using the D-Q frame is a challenge in single-phase power conditioning Systems. In this paper, an all-pass filter has been used to generate the orthogonal signals in the closed-Loop Control System. This method generates the orthogonal signals without degrading the dynamics of the closed-Loop Control System and with less noise in comparison to the other common methods such as differentiators. A DC-bus voltage estimator based on adaptive filter has also been used in this paper to remove the double frequency ripple and in turn increase the reliability and speed of the proposed Controller. The proposed Control scheme is used to implement the smart charging and power management strategies of the residential loads using electric vehicles as a storage System. Simulation and experimental results demonstrate the transient and steady-state performance of the proposed Controller in different modes of operation. Also the performance of the proposed DC-bus voltage estimator in removing the double frequency ripple as well as the application of the proposed Control scheme in implementation of power management strategies in a typical household, has been shown by using simulation results.
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A Fast DC-Bus Voltage Controller for Bidirectional Single-Phase AC/DC Converters
IEEE Transactions on Power Electronics, 2015Co-Authors: Majid Pahlevani, Praveen JainAbstract:This paper presents a new dc-bus voltage Control technique for single-phase bidirectional ac/dc converters. The proposed Controller is able to significantly improve the transient response of the dc-bus voltage Control Loop and provide a robust and reliable closed-Loop Control System. In the proposed approach, the dc value of the dc-bus voltage is precisely estimated through a specific adaptive filter. The structure of the proposed filter provides a very fast and robust estimation for the dc value of the dc-bus voltage. In particular, the proposed dc-extraction technique is able to precisely estimate the dc value in presence of double-frequency ripple mounted on top of the dc-bus voltage in single-phase ac/dc converters. Simulation and experimental results demonstrate the superior performance of the proposed closed-Loop Control System compared to the conventional ones.
Amit Bhaya - One of the best experts on this subject based on the ideXlab platform.
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Control liapunov function design of neural networks that solve convex optimization and variational inequality problems
Neurocomputing, 2009Co-Authors: Fernando A Pazos, Amit BhayaAbstract:This paper presents two neural networks to find the optimal point in convex optimization problems and variational inequality problems, respectively. The domain of the functions that define the problems is a convex set, which is determined by convex inequality constraints and affine equality constraints. The neural networks are based on gradient descent and exact penalization and the convergence analysis is based on a Control Liapunov function analysis, since the dynamical System corresponding to each neural network may be viewed as a so-called variable structure closed Loop Control System.
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algorithm for variational inequality problems based on a gradient dynamical System designed using a Control liapunov function
International Symposium on Intelligent Control, 2007Co-Authors: Fernando A Pazos, Amit BhayaAbstract:We present an algorithm to find the optimal point of a variational inequality problem. The domain of the function that defines the variational inequality is a convex set, determined by convex inequality constraints and affine equality constraints. The algorithm is based on a discrete variable structure closed-Loop Control System which presents sliding mode trajectories on the boundary of the feasible set until the optimal point is reached. The update law is designed using Control Liapunov function (CLF), which guarantees the decrease of a discrete Liapunov function inside and outside the feasible set. The step size is optimized using Liapunov optimizing Control (LOC).
Alexxai V Kravitz - One of the best experts on this subject based on the ideXlab platform.
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rodent arena tracker rat a machine vision rodent tracking camera and closed Loop Control System
eNeuro, 2020Co-Authors: Jonathan Krynitsky, Alex A Legaria, Julia J Pai, Marcial Garmendiacedillos, Ghadi Salem, Tom Pohida, Alexxai V KravitzAbstract:Video tracking is an essential tool in rodent research. Here, we demonstrate a machine vision rodent tracking camera based on a low-cost, open-source, machine vision camera, the OpenMV Cam M7. We call our device the rodent arena tracker (RAT), and it is a pocket-sized machine vision-based position tracker. The RAT does not require a tethered computer to operate and costs about $120 per device to build. These features make the RAT scalable to large installations and accessible to research institutions and educational settings where budgets may be limited. The RAT processes incoming video in real-time at 15 Hz and saves x and y positional information to an onboard microSD card. The RAT also provides a programmable multi-function input/output pin that can be used for Controlling other equipment, transmitting tracking information in real time, or receiving data from other devices. Finally, the RAT includes a real-time clock (RTC) for accurate time stamping of data files. Real-time image processing averts the need to save video, greatly reducing storage, data handling, and communication requirements. To demonstrate the capabilities of the RAT, we performed three validation studies: (1) a 4-d experiment measuring circadian activity patterns; (2) logging of mouse positional information alongside status information from a pellet dispensing device; and (3) Control of an optogenetic stimulation System for a real-time place preference (RTPP) brain stimulation reinforcement study. Our design files, build instructions, and code for the RAT implementation are open source and freely available online to facilitate dissemination and further development of the RAT.
Fernando A Pazos - One of the best experts on this subject based on the ideXlab platform.
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Control liapunov function design of neural networks that solve convex optimization and variational inequality problems
Neurocomputing, 2009Co-Authors: Fernando A Pazos, Amit BhayaAbstract:This paper presents two neural networks to find the optimal point in convex optimization problems and variational inequality problems, respectively. The domain of the functions that define the problems is a convex set, which is determined by convex inequality constraints and affine equality constraints. The neural networks are based on gradient descent and exact penalization and the convergence analysis is based on a Control Liapunov function analysis, since the dynamical System corresponding to each neural network may be viewed as a so-called variable structure closed Loop Control System.
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algorithm for variational inequality problems based on a gradient dynamical System designed using a Control liapunov function
International Symposium on Intelligent Control, 2007Co-Authors: Fernando A Pazos, Amit BhayaAbstract:We present an algorithm to find the optimal point of a variational inequality problem. The domain of the function that defines the variational inequality is a convex set, determined by convex inequality constraints and affine equality constraints. The algorithm is based on a discrete variable structure closed-Loop Control System which presents sliding mode trajectories on the boundary of the feasible set until the optimal point is reached. The update law is designed using Control Liapunov function (CLF), which guarantees the decrease of a discrete Liapunov function inside and outside the feasible set. The step size is optimized using Liapunov optimizing Control (LOC).
