Neural Network-Based Monitoring of Critical Parameters in Drinking Water for Enhanced Quality Assurance
Monitoring and Improvement of PV Panel Efficiency Due to Thermal Effect
Model Predictive Control of a Serial Link Robot Manipulator
Direct Torque Control (DTC) and Three Phase Induction Motor Simulation in MATLAB/Simulink
IoT-Enabled Smart Water Tank Monitoring System with Android Application Control
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
LabVIEW Based Design and Analysis of Fuzzy Logic, Sliding Mode and PID Controllers for Level Control in Split Range Plant
Trichotomous Exploratory Data Analysis [Tri–EDA]: A Post Hoc Visual Statistical Cumulative Data Analysis Instrument Designed to Present the Outcomes of Trichotomous Investigative Models
Maintaining of power quality is a major issue in distribution systems inorder to enhance the lifetime of utility devices. Unified Power Quality Conditioner (UPQC) is a custom power device, that consists of series and shunt converters connected back to back and deals with supply voltage and load current imperfections i.e., mitigates voltage sags, reduces harmonics and balance the loads. The UPQC is isolated to energy storage using multi-level topology. The Back Propagation Algorithm (BPA) based fuzzy control is described to generate gating pulses for cascaded H- bridge inverter. The reference source currents for Power Factor Correction (PFC) and Zero Voltage Regulation (ZVR) is estimated by extracting the fundamental value of weighted active and reactive power components of load currents under nonlinear loads. The proposed controller adopts itself to mitigate voltage sags, eliminate harmonics and balance loads at the utility end. Simulations are carried out using Matlab/Simulink.
In this paper, the authors have proposed modeling of Proportional Integral Velocity (PIV) controller for Permanent Magnet Linear Synchronous Motor (PMLSM) drive system in Simulink, the simulation includes all realistic components of the system. The PIV controller is used for position control of this type of motor. The response of PMLSM with the proposed controller is studied under different load disturbances. The effectiveness of the proposed PIV controller is compared with that of the conventional PID controller. The proposed controller is used in order to overcome the non-linearity problem of PMLSM and also to achieve a faster settling response.
This paper gives position and tracking control of Mass-Spring-Damper System. Many methods are available to design controllers for non-linear systems. But, in this framework, a nonlinear system is represented as the fuzzy average of local linear models which are popularly known as Takagi-Sugeno (T-S) Fuzzy Model. Given a nonlinear system, in terms of a T-S Fuzzy Model, the T-S fuzzy model is rewritten in terms of a single nominal plant and rest of the plants are expressed as a disturbance to the nominal plant. The controller is designed such that, the overall system becomes stable in the presence of the disturbance terms. However, the implementation of the controller is constrained by the norm bound of the disturbance term. The control scheme can be designed using the concept of robust control technique. Moreover, the overall fuzzy scheme guarantees that all signals involved are bounded and the output of the closed-loop system will asymptotically track the desired output trajectory. In this paper, the algorithm has been applied to Mass-Spring-Damper System. The simulation is performed on the Mass-Spring-Damper System and the effectiveness of the proposed method is demonstrated.
In most of the Industrial and pharmaceutical applications, we need precise level control in tanks. The more precise the level is controlled, much better quality of product we yield. Practically PID controllers are used, but to increase precision few more controllers are implemented. In this paper, a split-range setup is designed and the level in the tank has to be controlled. To this split-range setup various controllers such as PID Controller, FUZZY Controller, Sliding Mode Controller (SMC) and Dynamic Sliding Mode Controller (DSMC) have been designed and implemented using LabVIEW. Advanced Controllers are implemented to yield best results of characteristics such as time taken to attend the set point, overshoot, oscillations persistence, etc. At last the best controller is suggested for this type of application.
Measurement data are used more often and in more ways than ever before. The decision to adjust a manufacturing process is nowadays mostly based on the measurement data. Hence, the decision to change a process is purely dependent on the quality of data we acquire. Higher the quality of data, greater is its reliability. A change in process which relies on the low quality data would obviously produce defective components which are a result of wastage of capital, labour, and time. Hence, the need for data with reasonable quality levels is felt. In the present work, the authors have assessed the validity of some measuring instruments which are used to measure some of the critical parameters of cylinder liners making use of certain gage characteristics like Repeatability and Reproducibility which capture the precision of a measuring instrument. The work was carried out at Kusalava International Limited which is currently one of the largest, leading International manufacturers of Centrifugal Cast Cylinder Liners. This study helped to make necessary modifications in the measuring equipment, so that the measurement data obtained from measuring instrument will be reliable.
