Abstract In this paper a dynamical modeling of a quadrotor is discussed with different frame of references.The state equations are derived using gyroscopic and aerodynamics effects. The motor transfer function is derived from theoretical equations of DC motor with an operational delay. Furthermore a control strategy is presented using Proportional Derivative (PD) Controller for the attitude and trajectory control of the Quadrotor (UAV). Finally,... In this paper a dynamical modeling of a quadrotor is discussed with different frame of references.The state equations are derived using gyroscopic and aerodynamics effects. The motor transfer function is derived from theoretical equations of DC motor with an operational delay. Furthermore a control strategy is presented using Proportional Derivative (PD) Controller for the attitude and trajectory control of the Quadrotor (UAV). Finally, simulation results for the PD controller are generated on MATLAB/ Simulink platform by utilizing the dynamical model of Quadrotor (UAV) .Feedback sensor noise is added to the model output to make simulations more realistic. The simulation results confirm that the Quadrotor (UAV) is following the desired trajectory with a maximum error deviation of 0.2 meters. Read More Read Less

Abstract This paper aims at development of aluminum alloy (LM 13) reinforced with varying wt.% (3 to 15wt.% in steps of 3) of nano-ZrO2 particles(mesh size 70-90nm) cast using chilling technique which remains an attractive choice among all the solidification processing routes due to its capability of bringing together the advantages of both stir casting and directional solidification. The developed NMMCs and the as... This paper aims at development of aluminum alloy (LM 13) reinforced with varying wt.% (3 to 15wt.% in steps of 3) of nano-ZrO2 particles(mesh size 70-90nm) cast using chilling technique which remains an attractive choice among all the solidification processing routes due to its capability of bringing together the advantages of both stir casting and directional solidification. The developed NMMCs and the as cast matrix alloy were hot extruded in a hydraulic press at 250oC. Investigations of microstructural characterization reveal uniform distribution of reinforcement with interfacial integrity between matrix and the reinforcement. Dry sliding wear behavior of the developed NMMCs and matrix alloy was investigated using pin-on-disc apparatus under varying loads. The results exhibit a limiting load known as transitional load beyond which the material (whether matrix alloy or NMMCs) experiences ‘seizure’. The transitional load of the developed NMMCs was much higher than matrix alloy. It was also observed that the specific wear rate significantly decreased with increase in reinforcement content but remarkably increases with increase in applied load and sliding distance. However the coefficient of friction registered decreasing trend with increase in sliding distance and reinforcement additions. SEM photograph of worn surfaces of developed NMMCs and matrix alloy reveal delamination of MML (mechanically mixed layer) attributing for seizure. Read More Read Less

Abstract Daily mean solar irradiance is the most critical parameter in sizing the installation of solar power generation units. The average solar irradiation on a specific location can help predict the amount of electricity that will be generated through solar panels and an accurate forecast can help in calculating the size of the system, return on investment (ROI) and system load... Daily mean solar irradiance is the most critical parameter in sizing the installation of solar power generation units. The average solar irradiation on a specific location can help predict the amount of electricity that will be generated through solar panels and an accurate forecast can help in calculating the size of the system, return on investment (ROI) and system load measurements. To predict the mean solar irradiation Wh/m2 various regression algorithms have been used in conjunction with various parameters related to solar irradiance. In this paper we present a comparative analysis of forecasting through artificial neural networks (ANN) against the standard regression algorithms. Furthermore, we show that incorporation of azimuth and zenith parameters in the model significantly improves the performance. Read More Read Less