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This paper concentrates on two critical aspects to improve the performance of maximum power point tracking (MPPT). One improvement is to accurately locate the position of the maximum power point (MPP) by using the centered differentiation. Another effort is to reduce the oscillation around the MPP in steady state by controlling active perturbations. This paper also adopts the method of steepest descent for MPPT, which shows faster dynamic response and smoother steady state than the method of hill climbing. Comprehensive experimental evaluations have successfully illustrated the effectiveness of the proposed algorithm. Index Terms--Control systems, digital control, maximum power point tracking (MPPT), photovoltaic power systems.

In photovoltaic power systems, both photovoltaic modules and switching-mode converters present nonlinear and time-variant characteristics, which result in a difficult control problem. This paper presents an in-depth analysis and modeling to discover the inherent features of a photovoltaic power system. The method of successive linearization simplifies the nonlinear problem back to the linear case. This paper also presents the use of Youla parameterization to design a stable control system for regulating the photovoltaic voltage. The experimental and simulation results demonstrate the effectiveness of the presented analysis, design, and implementation. Index Terms--Digital control, modeling, Nyquist stability, photovoltaic power systems, voltage control.

Photovoltaic power systems are usually integrated with some specific control algorithms to deliver the maximum possible power. Several maximum power point tracking (MPPT) methods that force the operating point to oscillate have been presented in the past few decades. In the MPPT system, the ideal operation is to determine the maximum power point (MPP) of the photovoltaic (PV) array directly rather than to track it by using the active operation of trial and error, which causes undesirable oscillation around the MPP. Since the output features of a PV cell vary with environment changes in irradiance and temperature from time to time, real-time operation is required to trace the variations of local MPPs in PV power systems. The method of real-time estimation proposed in this paper uses polynomials to demonstrate the power-voltage relationship of PV panels and implements the recursive least-squares method and Newton-Raphson method to identify the voltage of the optimal operating point. The effectiveness of the proposed methods is successfully demonstrated by computer simulations and experimental evaluations of two major types of PV panels, namely: 1) crystalline silicon and 2) copper-indium-diselenide thin film. Index Terms--Curve fitting, least-squares method (LS), Newton-Raphson method (NRM), parameter estimation, photovoltaic (PV) power systems, polynomials, real-time systems.

This paper concentrates on two critical aspects to improve the performance of maximum power point tracking (MPPT). One improvement is to accurately locate the position of the maximum power point (MPP) by using the centered differentiation. Another effort is to reduce the oscillation around the MPP in steady state by controlling active perturbations. This paper also adopts the method of steepest descent for MPPT, which shows faster dynamic response and smoother steady state than the method of hill climbing. Comprehensive experimental evaluations have successfully illustrated the effectiveness of the proposed algorithm. [ABSTRACT FROM AUTHOR]

In photovoltaic power systems, both photovoltaic modules and switching-mode converters present nonlinear and time-variant characteristics, which result in a difficult control problem. This paper presents an in-depth analysis and modeling to discover the inherent features of a photovoltaic power system. The method of successive linearization simplifies the nonlinear problem back to the linear case. This paper also presents the use of Youla parameterization to design a stable control system for regulating the photovoltaic voltage. The experimental and simulation results demonstrate the effectiveness of the presented analysis, design, and implementation. [ABSTRACT FROM AUTHOR]

Photovoltaic power systems are usually integrated with some specific control algorithms to deliver the maximum possible power. Several, maximum power point tracking (MPPT) methods that force the operating point to oscillate have been presented in the past few decades. In the MPPT system, the ideal operation is to determine the maximum power point (MPP) of the photovoltaic (PV) array directly rather than to track it by using the active operation of trial and error, which causes undesirable oscillation around the MPP. Since the output features of a PV cell vary with environment changes in irradiance and temperature from time to time, real-time operation is required to trace the variations of local MPPs in PV power systems. The method of real-time estimation proposed in this paper uses polynomials to demonstrate the power-voltage relationship of PV panels and implements the recursive least-squares method and Newton-Raphson method to identify the voltage of the optimal operating point. The effectiveness of the proposed methods is successfully demonstrated by computer simulations and experimental evaluations of two major types of PV panels, namely: 1) crystalline silicon and 2) copper-indium-diselenide thin film. [ABSTRACT FROM AUTHOR]

OBJECTIVES The CARMAT total artificial heart (TAH) is an implantable, electro-hydraulically driven, pulsatile flow device with four bioprosthetic valves. Its blood-pumping surfaces consist of processed bioprosthetic pericardial tissue and expanded polytetrafluorethylene (ePTFE), potentially allowing for the reduction of anti-coagulation. This pre-clinical study assessed the in vitro haemocompatibility of these surfaces. METHODS Coupons of pericardial tissue and ePTFE were placed in closed tubular circuits filled with 12.5 ml of fresh human blood exposed to the pulsatile flow at 120 ml/min for 4 h (37°C). Silicone- and heparin-coated polyvinyl chloride (PVC) tubes served as positive and negative controls, respectively. Fresh blood from six donors was used to fill four sets of 12 circuits. Blood samples were taken at baseline and from each circuit after 4 h. Coupons of materials were examined with scanning electron microscopy. RESULTS The platelet count was 202 ± 45 × 109 l−1 at baseline. Four hours after circulation, the platelet counts were 161 ± 30 × 109 l−1 (compared with baseline, P = 0.0207) for pericardial tissue, 162 ± 35 × 109 l−1 (P = 0.0305) for ePTFE and 136 ± 42 × 109 l−1 for positive controls (P = 0.0021). Baseline plasma fibrinogen was 2.9 ± 0.5 mg/dl compared with 3.0 ± 0.5 mg/dl for pericardial tissue and 3.1 ± 0.7 mg/dl for ePTFE, indicating no marked fibrinogen consumption. Thromboxane B2 levels for positive controls were 33.3 ± 8.7 ng/ml compared with 16.2 ± 11.5 ng/ml for pericardial tissue (P = 0.0015) and 15.2 ± 4.7 ng/ml for ePTFE (P < 0.0001). Platelet adhesion was 2.87 ± 1.01 × 109 cm−2 for positive controls compared with 1.06 ± 0.73 × 109 cm−2 for pericardial tissue (P < 0.0001) and 0.79 ± 0.75 × 109 cm−2 for ePTFE (P < 0.0001). Thrombin–antithrombin III complex levels were 3.8 ± 0.5 μg/ml for positive controls compared with 1.9 ± 0.9 for pericardial tissue (P < 0.0001) and 2.1 ± 1.0 for ePTFE (P < 0.0001). With an electro-microscopic examination at ×600, only small depositions of platelets, erythrocytes and fibrin were noticed on the pericardial tissue samples and ePTFE samples. Silicone surfaces showed marked areas of thrombi, and PVC tubings a thin protein layer. CONCLUSIONS Haemocompatibility of the TAH blood-contacting surfaces was confirmed by in vitro studies showing a limited consumption of fibrin, limited thromboxane B2 release and platelet adhesion, and minor blood cell depositions on the surfaces. These results will be validated in clinical studies, with the aim of reducing anti-coagulation when using the CARMAT TAH. [ABSTRACT FROM AUTHOR]