The Experts below are selected from a list of 457788 Experts worldwide ranked by ideXlab platform
Bhim Singh - One of the best experts on this subject based on the ideXlab platform.
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isogi q based Control Algorithm for a single stage grid tied spv system
IEEE Transactions on Industry Applications, 2018Co-Authors: Bhim Singh, Priyank Shah, Ikhlaq HussainAbstract:This paper deals with a single stage solar photovoltaic (SPV) array tied to a three phase grid using an improved second-order generalized integrator quadrature (ISOGI-Q) based Control Algorithm to improve the power quality of the grid. The maximum point power tracking (MPPT) is achieved by using an incremental conductance method. The incremental conductance MPPT method is effective to extract crest power from an SPV array, as well as to Control the dc bus voltage. The ISOGI-Q based Control serves multifunctionalities such as load balancing, power factor correction, and improved solar power penetration into a distribution network. Test results of the ISOGI-Q based Control Algorithm are found to be satisfactory for improved power quality in terms of load balancing, harmonics elimination, and very effective power factor correction under various dynamic conditions such as load unbalancing, variable solar insolation, distorted grid, and imbalanced grid voltage conditions. Distributed static compensator capabilities of a photo-voltaic based system are useful to supply the active power to the load and surplus power to the grid. The Control Algorithm is verified on a proposed topology and obtained responses are found satisfactory, and total harmonic distortions of source currents are observed within an IEEE-519 standard limit.
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single stage secs interfaced with grid using isogi fll based Control Algorithm
2016 7th India International Conference on Power Electronics (IICPE), 2016Co-Authors: Priyank Shah, Ikhlaq Hussain, Bhim SinghAbstract:This paper deals with the solar energy conversion system (SECS) tied to a three phase grid by using an improved second order generalized integrator with frequency locked loop (ISOGI-FLL) based Control Algorithm to mitigate the power quality problems. The steepest descent maximum power point tracking (MPPT) Algorithm is used to extract the maximum power from solar photovoltaic (SPV) array to increase the efficiency of system as well as to maintain DC link voltage of the voltage source converter (VSC). The ISOGI-FLL based Control Algorithm is very effective to mitigate power quality problems like harmonics, load unbalancing and poor power factor of the grid while supplying an active power to the grid. Experimental results on developed prototype have verified satisfactory operation of proposed topology for different conditions like load unbalancing, SPV (solar photovoltaic) to DSTATCOM (distribution static compensator) mode, DSTATCOM to SPV mode at variable solar insolation. Moreover, total harmonic distortions (THDs) of grid currents are found within limit of an IEEE-519 standard.
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adaptive recursive inverse based Control Algorithm for shunt active power filter
Iet Power Electronics, 2016Co-Authors: Manoj Badoni, Alka Singh, Bhim SinghAbstract:A new adaptive Control technique is proposed for a three-phase shunt active power filter (SAPF) in this study. The proposed Control Algorithm is based on recursive inverse theory which is used here to extract weighted values corresponding to fundamental active and reactive power components of load currents. This adaptive Control Algorithm possesses advantages over other Control Algorithms in terms of its reduced computational complexity, fast weight convergence and robust performance in distorted environment. The SAPF is used to mitigate current related power quality problems such as harmonics, reactive power and load unbalancing in both modes of power factor correction and voltage regulation. The performance of proposed Control Algorithm of SAPF is demonstrated through simulation results in Matlab/Simulink environment, which are validated with test results obtained on the developed experimental prototype of SAPF in the laboratory.
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hyperbolic tangent function based least mean square Control Algorithm for distribution static compensator
Iet Generation Transmission & Distribution, 2014Co-Authors: Bhim Singh, Sunil Kumar Dube, Sabha Raj AryaAbstract:A variable learning rate least mean-square (LMS) based on hyperbolic tangent function is used to enhance the rate of convergence and to suppress the existing noise in the system for the Control of distribution static compensator (DSTATCOM) consisting of a three-leg voltage source converter (VSC) with a zig-zag transformer to eliminate the significant neutral current caused by non-linear unbalanced loads in a three-phase four-wire supply system. Simulation is made for the proposed Control Algorithm in three-phase four-wire DSTATCOM system and its performance is compared with the conventional Adaline-based LMS Control Algorithm. It is also shown that the convergence rate of the proposed Control Algorithm is quite faster in comparison with the conventional Control Algorithm. A prototype of DSTATCOM is developed and the real-time implementation of the proposed Control Algorithm is performed on a digital signal processor. Test results have demonstrated the satisfactory performance of DSTATCOM with the proposed Control Algorithm under linear and non-linear loads.
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simple peak detection Control Algorithm of distribution static compensator for power quality improvement
Iet Power Electronics, 2014Co-Authors: Bhim Singh, Sabha Raj Arya, Chinmay JainAbstract:This study deals with the Control of a three-phase, four-wire distribution static compensator (DSTATCOM) based on the peak detection of load currents for power quality improvement under linear/non-linear loads. This Control Algorithm is simple and easy in real time implementation. In this Control Algorithm, an extraction of active and reactive power components of load currents is based on a low-pass filter and the voltage unit vector in time domain. It is based on the mathematical formulations for fast and accurate estimation of reference supply currents. A four-wire DSTATCOM is modelled and implemented for the compensation of linear and non-linear loads using a digital signal processor. Performance of DSTATCOM is found quite satisfactory under balanced and unbalanced loads in three-phase, four-wire distribution system.
Hyunsoo Kim - One of the best experts on this subject based on the ideXlab platform.
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development of brake system and regenerative braking cooperative Control Algorithm for automatic transmission based hybrid electric vehicles
IEEE Transactions on Vehicular Technology, 2015Co-Authors: Jiweon Ko, Sungyeon Ko, Byoungsoo Yoo, Jae Seung Cheon, Hanho Son, Hyunsoo KimAbstract:In this paper, a brake system for an automatic transmission(AT)-based hybrid electric vehicle (HEV) is developed, and a regenerative braking cooperative Control Algorithm is proposed, with consideration of the characteristics of the brake system. The brake system does not require a pedal simulator or a fail-safe device, because a hydraulic brake is equipped on the rear wheels, and an electronic wedge brake (EWB) is equipped on the front wheels of the vehicle. Dynamic models of the HEV equipped with the brake system developed in this study are obtained, and a performance simulator is developed. Furthermore, a regenerative braking cooperative Control Algorithm, which can increase the regenerative braking energy recovery, is suggested by considering the characteristics of the proposed hydraulic brake system. A simulation and a vehicle test show that the brake system and the regenerative braking cooperative Control Algorithm satisfy the demanded braking force by performing cooperative Control between regenerative braking and friction braking. The regenerative braking cooperative Control Algorithm can increase energy recovery of the regenerative braking by increasing the gradient of the demanded braking force against the pedal stroke. The gradient of the demanded braking force needs to be determined with consideration of the driver's braking characteristics, regenerative braking energy, and the driving comfort.
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Cooperative regenerative braking Control Algorithm for an automatic-transmission-based hybrid electric vehicle during a downshift
Proceedings of the Institution of Mechanical Engineers Part D: Journal of Automobile Engineering, 2012Co-Authors: Chihoon Jo, Jiweon Ko, T Yeo, H Yeo, Sungho Hwang, Hyunsoo KimAbstract:A cooperative regenerative braking Control Algorithm is proposed for a six-speed automatic-transmission-based parallel hybrid electric vehicle (HEV) during a downshift that satisfies the requirements for braking force and driving comfort. First, a downshift strategy during braking is suggested by considering the re-acceleration performance. To maintain driving comfort, a cooperative regenerative braking Control Algorithm is developed that considers the response characteristics of the electrohydraulic brake. Using the electrohydraulic brake's hardware and an HEV simulator, a hardware-in-the-loop simulation (HILS) is performed. From the HILS results, it is found that the proposed cooperative regenerative braking Control Algorithm satisfies the demanded braking force and driving comfort during the downshift with regenerative braking.
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Control Algorithm for an independent motor drive vehicle
IEEE Transactions on Vehicular Technology, 2010Co-Authors: Jeongmin Kim, Sungho Hwang, Chiman Park, Yoichi Hori, Hyunsoo KimAbstract:A Control Algorithm is proposed for an independent motor-drive vehicle. A sliding-mode Control is designed based on the slip ratio, yaw rate, and lateral acceleration of the vehicle to reduce the motor torque at each wheel. The performance of the Control Algorithm is evaluated by MATLAB/Simulink-CarSim cosimulation and experiments. A test car with two independent drive motors at the rear wheels is developed. From the simulation and vehicle test, it is found that the Control Algorithm improves vehicle performance.
Sabha Raj Arya - One of the best experts on this subject based on the ideXlab platform.
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hyperbolic tangent function based least mean square Control Algorithm for distribution static compensator
Iet Generation Transmission & Distribution, 2014Co-Authors: Bhim Singh, Sunil Kumar Dube, Sabha Raj AryaAbstract:A variable learning rate least mean-square (LMS) based on hyperbolic tangent function is used to enhance the rate of convergence and to suppress the existing noise in the system for the Control of distribution static compensator (DSTATCOM) consisting of a three-leg voltage source converter (VSC) with a zig-zag transformer to eliminate the significant neutral current caused by non-linear unbalanced loads in a three-phase four-wire supply system. Simulation is made for the proposed Control Algorithm in three-phase four-wire DSTATCOM system and its performance is compared with the conventional Adaline-based LMS Control Algorithm. It is also shown that the convergence rate of the proposed Control Algorithm is quite faster in comparison with the conventional Control Algorithm. A prototype of DSTATCOM is developed and the real-time implementation of the proposed Control Algorithm is performed on a digital signal processor. Test results have demonstrated the satisfactory performance of DSTATCOM with the proposed Control Algorithm under linear and non-linear loads.
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simple peak detection Control Algorithm of distribution static compensator for power quality improvement
Iet Power Electronics, 2014Co-Authors: Bhim Singh, Sabha Raj Arya, Chinmay JainAbstract:This study deals with the Control of a three-phase, four-wire distribution static compensator (DSTATCOM) based on the peak detection of load currents for power quality improvement under linear/non-linear loads. This Control Algorithm is simple and easy in real time implementation. In this Control Algorithm, an extraction of active and reactive power components of load currents is based on a low-pass filter and the voltage unit vector in time domain. It is based on the mathematical formulations for fast and accurate estimation of reference supply currents. A four-wire DSTATCOM is modelled and implemented for the compensation of linear and non-linear loads using a digital signal processor. Performance of DSTATCOM is found quite satisfactory under balanced and unbalanced loads in three-phase, four-wire distribution system.
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back propagation Control Algorithm for power quality improvement using dstatcom
IEEE Transactions on Industrial Electronics, 2014Co-Authors: Bhim Singh, Sabha Raj AryaAbstract:This paper presents an implementation of a three phase distribution static compensator (DSTATCOM) using a back propagation (BP) Control Algorithm for its functions such as harmonic elimination, load balancing and reactive power compensation for power factor correction, and zero voltage regulation under nonlinear loads. A BP-based Control Algorithm is used for the extraction of the fundamental weighted value of active and reactive power components of load currents which are required for the estimation of reference source currents. A prototype of DSTATCOM is developed using a digital signal processor, and its performance is studied under various operating conditions. The performance of DSTATCOM is found to be satisfactory with the proposed Control Algorithm for various types of loads.
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neural network based conductance estimation Control Algorithm for shunt compensation
IEEE Transactions on Industrial Informatics, 2014Co-Authors: Sabha Raj Arya, Bhim SinghAbstract:For mitigation of power quality problems in a distribution system, it is important to estimate effecting factors which are responsible for their origin. Main objectives of neural network application in Distribution Static Compensator (DSTATCOM) are to enhance the efficiency, robustness, tracking capability according to requirements. A Control Algorithm based on load conductance estimation using the neural network is implemented for DSTATCOM in a four wire distribution system. The proposed Control Algorithm is used for extraction of load fundamental conductance and susceptance components of distorted load currents. It is implementated for mitigation of power quality problems such as reactive power compensation, harmonics elimination, load balancing and reduction of neutral current under linear/nonlinear loads. Test results on a developed DSTATCOM have shown the acceptable level of performance under balanced and unbalanced loads.
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adaptive theory based improved linear sinusoidal tracer Control Algorithm for dstatcom
IEEE Transactions on Power Electronics, 2013Co-Authors: Bhim Singh, Sabha Raj AryaAbstract:This paper presents a hardware implementation of three-phase distribution static compensator (DSTATCOM) using an adaptive theory-based improved linear sinusoidal tracer (ILST) Control Algorithm for different functions of DSTATCOM such as reactive power compensation for power factor correction, harmonics elimination, load balancing, and zero-voltage regulation under linear/nonlinear loads. An ILST-based Control Algorithm is used for the extraction of fundamental load currents and their active and reactive power components. These components are used for the estimation of reference source currents. A prototype of DSTATCOM is developed and its real-time performance is studied using a digital signal processor. The performance of DSTATCOM is found satisfactory with the proposed Control Algorithm under various types of loads.
Zhemin Duan - One of the best experts on this subject based on the ideXlab platform.
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frame level rate Control Algorithm based on gop level quality dependency for low delay hierarchical video coding
Signal Processing-image Communication, 2020Co-Authors: Meng Zhang, Henglu Wei, Wei Zhou, Xin Zhou, Zhemin DuanAbstract:Abstract Rate Control plays an important role in video coding, which can minimize the distortion of compressed video with bit rate constraints. Rate Control Algorithm based on R − λ model is capable of Controlling the bit rate precisely for high efficiency video coding (HEVC). However, quality dependency is not considered very well in λ -domain rate Control Algorithm when allocating bits and updating model parameters. This paper proposes a rate Control Algorithm based on group of pictures (GOP) level quality dependency for low-delay hierarchical coding structure. Firstly, the quality dependency between the current GOP and encoded GOPs mainly comes from the crucial frame (C-Frame). C-Frame guided GOP level quality dependency (CF-GOP-QD) model can be expressed by a CF-GOP-QD factor. Secondly, a CF-GOP-QD model based GOP level rate–distortion optimization (RDO) under the total bit constraints is proposed to guide the bit allocation processing, which is better than traditional bit allocation method. Experimental results show that the proposed rate Control Algorithm can achieve better rate–distortion performance, better visual quality and better rate Control accuracy. Specifically, the proposed method shows 5.801% and 5.068% BD-rate saving on average compared against HM16.7 frame level rate Control method under low-delay B and low-delay P configurations.
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gop level quality dependency based frame level rate Control Algorithm
IEEE Global Conference on Signal and Information Processing, 2019Co-Authors: Meng Zhang, Guanwen Zhang, Henglu Wei, Wei Zhou, Zhemin DuanAbstract:This paper proposes a rate Control Algorithm based on group of pictures (GOP) level quality dependency for high efficiency video coding (HEVC) low delay hierarchical coding structure. Firstly, this paper builds a GOP level quality dependency model. Secondly, a GOP level quality dependency model based GOP level rate-distortion optimization is introduced to make bit allocation more reasonable. Experimental results show that, compared with HM16.7 frame level rate Control Algorithm, proposed rate Control Algorithm shows 5.80% and 5.07% BD-rate saving on average under low delay B and low delay P configurations.
Meng Zhang - One of the best experts on this subject based on the ideXlab platform.
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frame level rate Control Algorithm based on gop level quality dependency for low delay hierarchical video coding
Signal Processing-image Communication, 2020Co-Authors: Meng Zhang, Henglu Wei, Wei Zhou, Xin Zhou, Zhemin DuanAbstract:Abstract Rate Control plays an important role in video coding, which can minimize the distortion of compressed video with bit rate constraints. Rate Control Algorithm based on R − λ model is capable of Controlling the bit rate precisely for high efficiency video coding (HEVC). However, quality dependency is not considered very well in λ -domain rate Control Algorithm when allocating bits and updating model parameters. This paper proposes a rate Control Algorithm based on group of pictures (GOP) level quality dependency for low-delay hierarchical coding structure. Firstly, the quality dependency between the current GOP and encoded GOPs mainly comes from the crucial frame (C-Frame). C-Frame guided GOP level quality dependency (CF-GOP-QD) model can be expressed by a CF-GOP-QD factor. Secondly, a CF-GOP-QD model based GOP level rate–distortion optimization (RDO) under the total bit constraints is proposed to guide the bit allocation processing, which is better than traditional bit allocation method. Experimental results show that the proposed rate Control Algorithm can achieve better rate–distortion performance, better visual quality and better rate Control accuracy. Specifically, the proposed method shows 5.801% and 5.068% BD-rate saving on average compared against HM16.7 frame level rate Control method under low-delay B and low-delay P configurations.
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gop level quality dependency based frame level rate Control Algorithm
IEEE Global Conference on Signal and Information Processing, 2019Co-Authors: Meng Zhang, Guanwen Zhang, Henglu Wei, Wei Zhou, Zhemin DuanAbstract:This paper proposes a rate Control Algorithm based on group of pictures (GOP) level quality dependency for high efficiency video coding (HEVC) low delay hierarchical coding structure. Firstly, this paper builds a GOP level quality dependency model. Secondly, a GOP level quality dependency model based GOP level rate-distortion optimization is introduced to make bit allocation more reasonable. Experimental results show that, compared with HM16.7 frame level rate Control Algorithm, proposed rate Control Algorithm shows 5.80% and 5.07% BD-rate saving on average under low delay B and low delay P configurations.
