Bhuwan Mohan Karan

MATLAB SIMULINK Based DQ Modeling and Dynamic Characteristics of Three Phase Self Excited Induction Generator

In this paper, DQ-modeling approach for Transient State analysis in the time domain of the three- phase self-excited induction generator (SEIG) with squirrel cage rotor is presented along with its operating performance evaluations. The three-phase SEIG is driven by a variable-speed prime mover (VSPM) such as a wind turbine for the clean alternative renewable energy in rural areas. Here the prime mover speed has been taken both as fixed and variable and results have been analyzed. The basic Dynamic characteristics of the VSPM are considered in the three-phase SEIG approximate electrical equivalent circuit and the operating performances of the three-phase SEIG coupled by a VSPM in the Transient state analysis are evaluated and discussed on the conditions related to transient occurs in the system and speed changes of the prime mover. The whole proposed system has been developed and designed using MATLAB/SIMULINK.

Prediction of Heat-Illness Symptoms with the Prediction of Human Vascular Response in Hot Environment Under Resting Condition

The thermoregulatory control of human skin blood flow is vital to maintain the body heat storage during challenges of thermal homeostasis under heat stress. Whenever thermal homeostasis disturbed, the heat load exceeds heat dissipation capacity, which alters the cutaneous vascular responses along with other body physiological variables. Whole body skin blood flow has been calculated from the forearm blood flow. Present model has been designed using electronics circuit simulator (Multisim 8.0, National Instruments, USA), is to execute a series of predictive equations for early prediction of physiological parameters of young nude subjects during resting condition at various level of dry heat stress under almost still air to avoid causalities associated with hot environmental. The users can execute the model by changing the environmental temperature in °C and exposure time in minutes. The model would be able to predict and detect the changes in human vascular responses along with other physiological parameters and from this predicted values heat related-illness symptoms can be inferred.

Converter Based DC Motor Speed Control Using TMS320LF2407A DSK

This paper deals with real time DC motor speed control, using the low-cost new generation TMS320LF2407A digital signal processor. A PID controller is designed using MATLAB functions to generate a set of coefficients associated with the desired controller characteristics. The controller coefficients are then discretised and included in an assembly language or C program that implements the PID controller. Code composer studio is used to load and run the PID controller to achieve real time control. Furthermore, the PID parameters can be adjusted while the motor is running, so that the online adjustment is achieved. Speed control is investigated on a DC motor with speed feedback. According to the error in speed, followed by PID action DSP processor changes the duty cycle of the PWM, which is given as the input to the buck converter. Results show the improvement of system outputs as expected with a PID controller, with actual system outputs matching theoretical calculations. Since cascaded buck converter is having the added advantage over DAC that it can be principally extended for motors of higher ratings only by changing the component values of buck converter

Backpropagation ANN-Based Prediction of Exertional Heat Illness

Exertional heat illness is primarily a multi-system disorder results from the combined effect of exertional and thermoregulation stress. The severity of exertional heat illness can be classified as mild, intermediate and severe from non-specific symptoms like thirst, myalgia, poor concentration, hysteria, vomiting, weakness, cramps, impaired judgement, headache, diarrhea, fatigue, hyperventilation, anxiety, and nausea to more severe symptoms like exertional dehydration, heat cramps, heat exhaustion, heat injury, heatstroke, rhabdomyolysis, and acute renal failure. At its early stage, it is quite difficult to find out the severity of disease with manual screening because of overlapping of symptoms. Therefore, one need to classify automatically the disease based on symptoms. The 7:10:1 backpropagation artificial neural network model has been used to predict the clinical outcome from the symptoms that are routinely available to clinicians. The model has found to be effective in differentiating the different stages of exertional heat-illness with an overall performance of 100%.

Digital-analog hybrid control model for eukaryotic heat shock response illustrating the dynamics of heat shock protein 70 on exposure to thermal stress

We are introducing in this paper a digital-analog hybrid model approach for the study of a complete gene regulatory network; the heat shock response (HSR) network of eukaryotes. HSR is a crucial and widely studied cellular phenomenon occurring due to various stresses on the cell, and is characterised by the induction of heat shock genes resulting in the production of heat shock proteins (HSPs) which restores cellular homeostasis by maintaining protein integrity. We are proposing a model which incorporates simple digital and analog components which mimic the functioning of biological molecules involved in HSR and model their dynamics and behaviour. The simulation result of the circuit for the production of HSP70 has been found to be consistent with published experimental results. The qualitative behaviour of the HSR is expressed through a truth table. Through this novel approach, the authors have tried to develop a level of understanding of the interactions of the parts of the HSR system and of this system as a whole.

Design of Field Oriented Controller to Improve Dynamic Characteristics of Three Phase Self Excited Induction Generator

This paper presents the dynamic characteristics of the stand alone three phase-self excited induction generator (SEIG) includes loading effects on operating frequency and voltage for various transient conditions. Further to improve the dynamic characteristics of the system a field oriented controller has been proposed. Prime mover speed of the SEIG has been taken as variable speed dc motor which represent wind speed. The self excitation is mainly depending upon load speed and excitation capacitance. An inverter is connected to the stator terminals of the SEIG which manipulates the necessary excitation currents. Flux estimator estimates the rotor flux and a simple PI controller is used to estimate reference currents which further decide the switching signals in current controller for inverter. The effects of non linear magnetizing inductance have also been taken as constraint. The currents and voltage output responses of the system with and without controller has been compared, conclusions have been documented. The whole proposed system has been developed and designed using MATLAB/SIMULINK

Computer Simulation of Heat Transfer in Different Tissue Layers of Body Extremities Under Heat Stress in Deep Anesthetic Condition

Many mathematical models of thermoregulation in humans have been developed, so far. These models appeared to be very useful tools for studying temperature regulation in humans under adverse environmental conditions. However, no one discussed the heat transfer characteristics of denervated subjects. Thus, the present study is concerned with aspects of the passive system for denervated subjects: (1) modeling the human body extremities (2) modeling heat transport mechanism within the body and at its periphery. The present model was simulated using the software (Wintherm 8.0, Thermoanalytics, USA) for different body segments to predict the heat flow between body core and skin surface with changes in environmental temperature with fixed relative humidity and wind velocity. The simulated model for comparative study of internal temperature distribution of hand, arm, leg and feet segments yielded remarkably good results and observed to be in trends with previously cited work under ambient environmental condition and at controlled room temperature. Models could be used to measure the temperature distribution in human limbs during local hyperthermia and to investigate the interaction between limbs and the thermal environment.

Role of Direct Torque Control Induction Motor Drives in MEMS

Direct torque control of three phase induction motor (IM) is an outstanding method and also the state-of-art based on instantaneous space vector theory. It is highly commercialized which reflects that it has many advantages over DC commutator motors and vector control of IM. In this paper high power switches, vector control, direct self control and direct torque control (DTC) principle and in addition to that MEMS and its various applications are elaborated. It also highlights the use of DTC in the intelligent manufacturing technology as industrial manipulator and so it can be useful for MEMS also .This is the reflection of fact that voltage vector has sampling time in microseconds which controls torque and flux. Simulation has been carried on with 5 HP IM using power system blocksets in Simulink/Matlab environment and results are presented to show its feasibility

Mechanistic electronic model to simulate and predict the effect of heat stress on the functional genomics of HO-1 system: Vasodilation

The present work is concerned to model the molecular signalling pathway for vasodilation and to predict the resting young human forearm blood flow under heat stress. The mechanistic electronic modelling technique has been designed and implemented using MULTISIM 8.0 and an assumption of 1V/ degrees C for prediction of forearm blood flow and the digital logic has been used to design the molecular signalling pathway for vasodilation. The minimum forearm blood flow has been observed at 35 degrees C (0 ml 100 ml(-1)min(-1)) and the maximum at 42 degrees C (18.7 ml 100 ml(-1)min(-1)) environmental temperature with respect to the base value of 2 ml 100 ml(-1)min(-1). This model may also enable to identify many therapeutic targets that can be used in the treatment of inflammations and disorders due to heat-related illnesses.

Real Time Based PI-like Fuzzy Controller for DC Servomotor

Buck converter is highly nonlinear system because of its inherent switching. When a buck converter is cascaded with DC servomotor for controlling the speed, conventional design approach (like PID, deadbeat...) for speed control can not be applied. This paper proposes design of fuzzy PI like controller for speed control of small DC servo motor cascaded with buck converter. The proposed fuzzy logic controller is first programmed in C language and results are compared with fuzzy inference system (FIS) editor in Matlab. This C program is then executed in code composer studio (CCS) for real time implementation on DSP processor TMS320LF2407A. Cascaded buck converter has an added advantage over digital to analog converters, that, it can be principally extended for motors of higher ratings only by changing the component values of buck converter.