Due to end effects phenomena that cause a decrease of air-gap flux and thrust force, obtaining a precise velocity for a linear induction motor (LIM) has become a significant challenge. This study suggests implementing a novel controller based on a self-recurrent wavelet neural network (SRWNN) and model predictive controller (MPC) to regulate the velocity and thrust force of LIM. The MPC was used to train the SRWNN in this study. The ultimate goal of employing such a control approach in neural network training is to reduce the degree of uncertainty caused by changes in motor parameters and load disturbance. The indirect field-oriented control (IFOC) approach was used to investigate velocity and flux control under varied loading circumstances. Furthermore, to supply the required LIM stator voltage, a SVPWM dependent voltage source inverter was used in this work. To ensure reliable performance, the suggested system combines the benefits of neural networks with the MPC method, resulting in a versatile controller with a basic construction that is easy to accomplish. The MATLAB package is utilized to simulates and outputs LIM responses. The results confirm that the proposed method, which efficiently controls the velocity and thrust force of the LIM, can cope with changes in load force disruption and motor parameters.
The output of photovoltaic cells continues to change with surrounding environments, therefore, the maximum power point of the solar cell relies on the amount of solar irradiation and environment temperature. Maximum Power Point Tracking (MPPT) technology is utilized in photovoltaic systems to take entire advantage of output power for Photovoltaic cells. Power Inverters also is an important side of Photovoltaic power generation. This paper proposed a Perturb and Observe (P & O) MPPT algorithm with space vector pulse width modulation (SVPWM) control method for a three-phase complete stand-alone Photovoltaic generation system. The proposed PV generation system is implemented into Matlab / Simulink. Simulation results show the proposed stand-alone Photovoltaic system can achieve the excellent execution of MPPT and get the output voltage in high quality. The system is tested and verified using a solar cell Kyocera Solar KD215GX-LPU PV module.
Currently, due to the industrial progress in the world and the increase in population numbers led to the occurrence of an economic crisis as well as environmental pollution; for which there are microgrid advances capabilities and the use of renewable sources, for production the energy at high quality and lowest cost possible. So, there are many effective algorithms can be utilized for a purpose schedule energy production among available sources of energy in the microgrid system. A microgrid with two diesel generators, two wind turbines and three fuel-cell plants has been used as a case study. Firefly algorithm (FA) nature-inspired algorithms are among the most efficient algorithm for optimization, the proposed method used to optimize schedule generation in a microgrid for 24 hours at minimum cost. Moreover, the results are validated by performing various tests of the algorithm parameters and have proven that the method is efficiently done for scheduling optimum power generation in the microgrid.
In this paper, the directional excitation of surface plasmon polarities (SPPs) was investigated with numerical simulations in two plasmonic structures based on the metallic nanochannels with bumps. The simulation of SPPs and directional propagating fields on the output interface was carried out by employing a finite element method implemented by COMSOL Multiphysics. By analyzing behavior of the instantaneous electric field and power flow, the introduction of dielectric‐metal (DM) bumps produced an enhancement of the directionality and confinement of the output field in comparison with the case of metallic bumps. Since the DM bumps can form the vertical MDM Fabry‐Pérot (FP) cavity modes which are coupling with FP surface cavity modes between two bumps. The simulation results show that the optimized FP cavity length, dielectric thickness of layer in DM bumps and dielectric thickness of the layer between two bumps is crucial for the enhancement of the directional beaming effects. It is hoped that these outcomes can be used in several potential applications such as directional coupler (generator), plasmonic circuits, and nanoresolution optical beaming.
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