Diagnosis of Air-Gap Eccentricity Fault for Inverter Driven Induction Motor Drives in the Transient Condition
Modelling and Simulation Study of a Helicopter with an External Slung Load System
Comparative Study of Single Phase Power Inverters Based on Efficiency and Harmonic Analysis
Trichotomous Exploratory Data Analysis [Tri–EDA]: A Post Hoc Visual Statistical Cumulative Data Analysis Instrument Designed to Present the Outcomes of Trichotomous Investigative Models
LabVIEW Based Design and Analysis of Fuzzy Logic, Sliding Mode and PID Controllers for Level Control in Split Range Plant
Solar power generation has emerged as one of the most rapidly growing renewable sources of electricity. Solar power generation has several advantages compared to the other forms of electricity generation. The purpose of this paper is to present the new era in solar power i.e, floating solar power plants, the floating solar plant involves solar panels and other components that are fitted onto a platform with hollow plastic or tin drums that enables it to float on water. The prototype is said to be able to generate 10 kW of power and will occupy 100 square meters. The benefits of floating power plants and problems associated with this new fitting with the details of commissioned floating solar power plants across the world and India are presented. This paper, gives a brief introduction to technical details of floating structures and solar panels.
Inorder to control flight path and trajectory of Unmanned Aerial Vehicle (UAV), an autonomous flight, it is desirable to control its various parameters. This paper presents, a UAV flight path control scheme for the control of lateral parameters of fixed wings UAV using MATLAB platform. In this paper, mathematical model of 6 degrees of freedom UAV comprising of three linear and three rotational motions, is divided into two subsystems i.e, longitudinal and lateral subsystems. Longitudinal sub-system is responsible for the control of parameters which only affect the vehicle speed and height without any change in direction of motion while lateral sub-system is responsible for the control of parameters which will change the direction of motion of vehicle known as heading. Both subsystems are Multi Input Multi Output (MIMO) in nature and to make it simpler, the desired input-output combinations are extracted for the effective control of vehicle. Further, different controllers are used in closed loop to control various final control elements so that the vehicle can follow the desired path. This technique can be also used to control other autonomous vehicles and Autopilots. The implementation and simulation of different controllers on UAV is done using MATLAB software.
In this paper, the authors have aimed to develop a control technique using Sliding Mode Control (SMC) and Dynamic Sliding Mode Control (DSMC) for a pH control plant. This pH plant is also subjected to a Proportional Integral Derivative (PID) controller. The pH control process involves a prototype model in which acidic and alkaline streams are mixed into a Continuous Stirred Tank Reactor [CSTR] in proper proportions to control the pH of the plant. The control mechanism involves control of the flow rate of the acid and alkaline solutions. SMC and DSMC are the types of Variable Structure Control (VSC). As the neutralization process is non linear, VSC serves as a better solution. Also PID control is implemented on this process and the results are compared. The unique feature of this paper is that all the control methods are implemented using LabVIEW software. LabVIEW stands for Laboratory Virtual Instrumentation Workbench. The programming is done with this software and is applied to the prototype model. The results of PID, SMC and DSMC are compared and it is found that VSC controllers are better suited than PID controllers.
With the increase of electricity demand and change of concerning environment, the capabilities of renewable energy generation systems are being expanded. Renewable energy sources are considered as clean and prospective energy sources of the future world. The combination of AC and DC distribution grid is also considered for the efficient connection of renewable power resources. In this case, one of the critical problems due to these integrations is the excessive increase in the fault current. Inorder to protect this smart grid from increasing fault current, a Superconducting Fault Current Limiter (SFCL) could be applied, which has negligible power loss during steady state and capability to limit initial fault currents effectively. This paper research presents, optimal positioning of the SFCL and its effects on reducing fault current in a smartgrid having AC and DC microgrid. The power system was implemented with an AC microgrid having a wind farm with Doubly Fed Induction Generator (DFIG) which is cost effective and improves the power quality, a low voltage DC grid connected with photovoltaic farm. Fault analysis was performed for the symmetrical faults with different SFCL arrangements. The optimal position of SFCL in the smart grid, which could limit fault currents with no negative effect to Distributed Generation (DG) sources and with minimized cost is found to be the integration point of each DG sources in the AC and DC microgrid.
In the present time, the inverter-driven induction motors drives are being widely employed in the industries for variable speed applications. These drives are replacing D.C. motors and thyrister bridges day to day in the industries. In the past, the Fast Fourier Transform (FFT) algorithm had been successfully implemented for the diagnosis of air-gap fault in the induction motor. This algorithm was used to diagnose various induction motor faults in the steady state conditions for constant load. However, the FFT algorithm is unable to detect induction motor faults in the transient condition. Therefore, early fault detection is not possible by this algorithm. Generally, the variable speed induction motors include large data size and FFT method is also not able to diagnose many faults for large data size. This research paper proposes a new technique for early air-gap fault diagnosis purpose. By using this technique, the air-gap fault may be diagnosed in the transient condition and fault may be averted before it becomes more catastrophic. As a result, industries may save large revenues and unexpected failure condition. In this research paper, an inverter driven induction motor model has been proposed and diagnosed for air-gap eccentricity fault in the transient condition by time-domain and time-frequency domain techniques.