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[IEEE 2020 International Conference on Emerging Trends in Smart Technologies (ICETST) - Karachi, Pakistan (2020.3.26-2020.3.27)] 2020 International Conference on Emerging Trends in Smart Technologies (ICETST) - Terminal Sliding Mode Nonlinear Control Strategy for MPPT Application of Photovoltaic System
摘要： The electricity generation from the photovoltaic (PV) system has been considered as an alternative energy resource to the fossil fuels since last decade. Solar energy is the most abundantly available renewable resource on earth. However, source to load conversion efficiency of PV system is low but installation cost is appreciable. In order to achieve maximum power, the system must be operated at maximum power point (MPP). Maximum power point tracking (MPPT) is very essential in the process of maximum power extraction of the PV system. This research article presents the terminal sliding mode control (TSMC) nonlinear MPPT control paradigm for stand-alone PV system using buck-boost converter. Radial basis function neural network (RBF NN) is generated the reference for the proposed TSMC in controller. The simulations are performed in MATLAB/Simulink. To evaluate the developed controller performance, TSMC is tested under varying conditions of environment and resistive load with fault and uncertainty. Moreover, proposed nonlinear TSMC MPPT control technique is compared with the conventional techniques such as proportional integral derivative (PID) and perturb and observe (P&O). The finite time stability analysis is explained via Lyapunov function.
关键词： TSMC,Finite time stability,Buck-Boost converter,MPPT,RBF NN
更新于2025-09-23 15:21:01
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Optimization of CMOS Image Sensor Utilizing Variable Temporal Multi-Sampling Partial Transfer Technique to Achieve Full-frame High Dynamic Range with Superior Low Light and Stop Motion Capability
摘要： Differential Binary Pixel Technology is a threshold-based timing, readout and image reconstruction method that utilizes sub-frame partial charge transfer technique in a standard four-transistor (4T) pixel CMOS Image sensor (CIS) to achieve HDR video with Stop Motion. This technology improves low light signal-to-noise ratio (SNR) by up to 21dB. The method is verified in silicon using a TSMC 65nm 1.1μm pixel technology 1 megapixel (MP) test chip array and is compared with a traditional 4× oversampling technique using full charge transfer. The test chip is also compared with the iPhone 6s rear view camera to show superior HDR video capability.
关键词： HDR video,iPhone 6s,Differential Binary Pixel Technology,SNR,CMOS Image sensor,Stop Motion,TSMC 65nm
更新于2025-09-04 15:30:14