Venkata Lakshmi Narayana Komanapalli

• Senior Member IEEE; Ph.D (Specialization: Instrumentation and Sensor Systems)
• Professor at Vellore Institute of Technology University

Human behaviour-based meta-heuristic optimization algorithms have been prominent in the field of optimization and have gained significance with their simplicity, robust performance, relatively low number of algorithm-specific parameters and ease of implementation to multi-disciplinary problems compared to other optimization techniques. One such met...

Wireless charging (WC) has gained popularity for the charging of electric vehicles in recent years of research, particularly dynamic wireless charging systems (DWCSs). Among the different topologies of DWCSs, this paper focuses on an inductively coupled wireless charging system (ICWCS). In this ICWCS, double-D (DD) coils create horizontal and verti...

A novel approach called hybrid evolutionary GWO (HE-GWO) is proposed to enhance the effectiveness of the grey wolf optimizer (GWO) for handling dynamic landscapes. This approach combines the strengths of the canonical GWO with Differential Evolution (DE) to achieve a high-level hybridization. HE-GWO enhances the leadership-based guidance system and...

In the domain of wireless charging for electric vehicles (EVs), Inductive Wireless Power Transfer (IWPT) is meritorious in terms of durability and low maintenance. In IWPT systems designed for EVs, ferromagnetic structures are used for the transmitter (Tx) and receiver (Rx) coils to amplify magnetic coupling while restricting flux leakage. To optim...

Conventional automobiles are not eco-friendly; hence, a larger section of commuters expect battery electric vehicles (BEVs). BEVs are relatively safer and cleaner and invoke more constructive charging techniques for electric vehicles (EVs), including both wired and wireless approaches. Wired charging is common despite several serious problems, such...

This article presents a competitive learning-based Grey Wolf Optimizer (Clb-GWO) formulated through the introduction of competitive learning strategies to achieve a better trade-off between exploration and exploitation while promoting population diversity through the design of difference vectors. The proposed method integrates population sub-divisi...

The text covers fiber optic sensors for biosensing and photo-detection, graphene and CNT-based sensors for glucose, cholesterol, and dopamine detection, and implantable sensors for detecting physiological, bio-electrical, biochemical, and metabolic changes in a comprehensive manner. It further presents a chapter on sensors for military and aerospac...

Parameter estimation of PV cells is essential to develop accurate simulation techniques, optimal control mechanisms, converter design optimization, maximize the efficiency of PV harvesting systems, improve the accuracy of monitoring systems etc. Advanced meta-heuristic algorithms for the optimal parameter estimation through the minimization of the...

Optimization through meta-heuristics in electric vehicular (EV) transport has emerged as the key to improve the existing technologies and pave way for their mass deployment and revolutionize the current transport system while lowering greenhouse emissions. Range and cost have been the main aspects that continue to hinder the development of EVs. Thi...

A multi-strategy ensemble social group optimization algorithm (ME-SGO) to improve the exploration for complex and composite landscapes through distance-based strategy adaption and success-based parameter adaption while incorporating linear population reduction is proposed. The proposed method is designed to acheive a better balance between explorat...

This article presents a symbiotic learning-based Grey Wolf Optimizer (SL-GWO) formulated through the introduction of symbiotic hunting and learning strategies to achieve a better trade-off between exploration and exploitation while standing immune to the curse of dimensionality . The proposed method improves the performance of the algorithm to ef...

For this generation, life is too complex without sufficient energy. Due to the increase demand of energy from time to time, several researchers are too eager on renewable energy sources to have good enough, clean and greenhouse effect free energy. Thanks to its cost effectiveness, wind power is the primary focus of professionals on energy area and...

The advanced research on power system issues for almost a decade has introduced the smart grid (SG) to the countries across the world. The SG represents modernized power delivery system. The introduction of advanced data-information and communication technologies (ICT) for SG has significantly improved the quality of power transmission and distribu...

This paper presents a new meta-heuristic optimization based switching technique for a single phase nine level multilevel inverter (MLI) using a novel enhanced krill herd (EKH) algorithm to optimize the Total Harmonic Distortion (THD). EKH is a swarm population based optimization algorithm with an additional randomization technique, ranking and a ne...

Self-adaptive firefly algorithm (SAFA) is proposed for optimal placement of gridable electric vehicle (GEV) aggregation in smart grid in this paper. An objective function is developed to minimize power losses and maximize voltage profile. The load flow study is carried out on IEEE 33 bus test system and it is noted that timely placement of GEV aggr...

Renewable energy requirement has surged in the recent times in order to cope up with the climate change laws and to reduce the dependence on fossil fuels for a clean and green tomorrow. Hydro, wind, solar, geothermal and bio-energy are the predominant sources of renewables, and it is the requirement of the time to optimize these sources to ensure m...

This book presents the select proceedings of the International Conference on Automation, Signal Processing, Instrumentation and Control (i-CASIC) 2020. The book mainly focuses on emerging technologies in electrical systems, IoT-based instrumentation, advanced industrial automation, and advanced image and signal processing. It also includes studies...

This article presents two new hybrid swarm-human based meta-heuristic optimization algorithms benefitting from the synergy of whale optimization algorithm (WOA) and social group optimization (SGO) known as Hybrid Social Whale Optimization Algorithm (HS-WOA and HS-WOA+). HS-WOA and HS-WOA+ are hybridized combining the exploratory capabilities of WOA...

This paper presents the solution to mitigate the total harmonic distortion (THD) in multilevel inverters (MLIs) using novel improved whale optimization algorithm (IWOA). The IWOA falls under the category of swarm-based nature inspired optimization algorithms. It uses a novel diffusion process using a random walk technique and utilizes an additional...

Wireless sensor networks (WSN) are a very important and relevant field of research for modern control and monitoring applications in today’s communications and information networks. The increased use of wireless devices across a variety of settings, from smart buildings to smart homes, energy consumption monitoring, healthcare applications, plus a...

In this paper, an agent-based wireless sensor system is proposed for vehicle-to-grid (V2G) aggregation in power distribution network. V2G is used for peak shaving, valley filling, load leveling, and load shifting. Timely placement of V2G aggregator in power network plays a key role in maintaining voltage levels and reduction in active/reactive powe...

In this paper, a virtual flow sensor using artificial neural networks (ANN) is proposed to improve the efficiency of an industrial flow control loops. In conventional flow-control loop, flow meters used for sensing flow rate in the feedback path cause pressure drop in the flow. This may increase the energy usage for propelling the fluid. The functi...

Wind energy conversion system (WECS) is complex because of wind speed varies in time and space. Model identification is required to represent its dynamics for real-time implementation. In this paper a doubly-fed induction generator (DFIG) WECS is used. Different model structures are generated and simulated using MATLAB/SIMULINK. The models are gene...

In this paper, Auto Regressive eXogenous input (ARX), Auto Regressive Moving Average eXogenous input (ARMAX), Output error and BJ models of class D voltage-source half-bridge series-resonant inverter used for induction heating are identified and studied based on prior knowledge and measured data from PSIM simulation Environment. The output data are...

Modeling and position control of an Electro-Hydraulic Actuator (EHA) system is investigated in this paper. Linear ARX EHA system model is identified by taking the experimental data using system identification toolbox in the MATLAB/Simulink. From the identified models the best fit ARX 331 model is used to design a controller using fuzzy logic and Pa...

A multi control scheme is proposed for unstable first order plus time delay (UFOPTD) system. The proposed control structure consists of two controllers which are intended for two distinct roles, set point tracking and disturbance rejection. A PI controller cascaded with a first order filter is employed as servo controller and a PID controller in se...

A simple, low cost intelligent pressure measuring technique has been proposed in this paper. In industrial applications, bellows is used as a pressure sensor with a local indication only. Hence, the deflection of bellow due to applied pressure must be converted into an efficient electrical read out for measurement and control in industry. In this s...

Wireless body area network (WBAN) is a remarkable, reliable and the most beneficial trend in the e-health monitoring system. WBANs are operated using low power wireless technology to link minute sensors with invasive or non-invasive technology for examining the patients. WBANs when used in a dense environment or operated along with other wireless s...

This paper presents the design of an artificial neural network (ANN) based intelligent pressure sensor to measure pressure in the range 0-100 psig with high accuracy and temperature compensation. A capacitive pressure sensor detects the applied pressure by means of elastic deflection of diaphragm. A Modified Schering Bridge Signal Conditioning Circ...

The advancements in the home area networks call for wireless data transmission for continuous monitoring and taking control decisions to strengthen the smart grid technologies. The wireless sensor networks (WSNs) using Zigbee, WiFi operating in 2.4GHz frequency band play a key role in the data transmission. Because of coexistence in the same freque...

Appropriate cluster head selection process in hierarchical cluster based routing algorithms is vital to make the wireless sensor networks energy efficient. This paper suggests a hybrid cluster head selection method with the parameters Location centrality and Nodes' lingering energy on the fixed clusters. The simulation outcome illustrates that the...

The approximate sensitivity value for the three thermistors under study using the intelligent temperature transducer [1] is mistakenly presented as 5 kHz/°C. After intense review of the experimental data of the technique [1] , the values of sensitivity are found to be 0.173 kHz/°C for the thermistor-1, 0.273 kHz/°C for the thermistor-2 and 0.0723...

This paper presents a new control methodology for a class of integrating systems. A PID controller augmented with a first order lead/lag filter is proposed for improved response. The polynomial approach is employed to derive the controller parameters. The novelty of the proposed method lies in the selection of pole locations. Multiple pole location...

The sensitivity value for the three thermistors under study in [1] is mistakenly presented as 5 kHz/°C. After intense review of experimental data of the technique [1], the values of sensitivity are obtained as 0.128 kHz/°C, 0.161 kHz/°C and 0.719 kHz/°C for the thermistor-1, thermistor-2 and thermistor-3 respectively in the temperature range 0-100...

In a smart grid environment, wireless sensor networks (WSNs) perform a significant role in supervising and taking control decisions based on the data transferred from source to destination. The work in this paper is aimed to develop a cross-layer multi-channel MAC (CMCMAC) protocol for interference mitigation between ZigBee and WiFi operating in co...

In a smart grid environment, wireless sensor networks (WSNs) perform a significant role in supervising and taking control decisions based on the data transferred from source to destination. The work in this paper is aimed to develop a cross-layer multi-channel MAC (CMCMAC) protocol for interference mitigation between ZigBee and WiFi operating in co...

This paper presents the development of an intelligent temperature transducer to measure temperature in the range of 0 degrees C-100 degrees C using a negative temperature coefficient (NTC) thermistor. The NTC thermistor is connected in a timer circuit to convert the temperature change into frequency. The timer circuit acts as a signal conditioning...

This paper presents the development of a wireless flow transmitter using rotameter and operational amplifier based signal conditioning circuit. The rotameter is a linear gravity based flow measuring device. It consists of a display unit which directly displays the flow rate. For industrial applications a new circuitry is required to transmit the me...

This paper presents the development of an intelligent temperature to frequency converter to measure the temperature using a negative temperature coefficient (NTC) thermistor. The signal conditioning circuit (SCC) of the NTC thermistor is a modified timer circuit whose control voltage is generated by a difference amplifier. The thermistor SCC acts a...

The quality of finished product of a cement mill is measured in terms of blaine, which is the measure of specific area of cement. Normally blaine is measured offline and maintaining the blaine is very important because it directly hampers the cement strength and also affects production cost. A soft sensor based kernel autoregressive exogenous model...

In this paper, a simple control scheme is proposed for the integrating first order process with time delay (IFOPTD) with inverse response. The proposed control scheme comprises of a PID controller in series a with lead/lag filter. The controller follows the design steps that hold the polynomial approach and the analytical tuning rules based on maxi...

This paper presents the implementation of an intelligent pressure transmitter to measure pressure using a bellow sensor. In industrial applications, the deflection of the bellow due to applied pressure must be translated into an efficient electrical readout for monitoring, transmission and control. An inductive pick-up is used to convert the deflec...

Thermistor is most widely used sensor in the temperature measurement due to its high sensitivity and fast response. The non-linearity of the thermistor gives rise to several difficulties for on-chip interface, direct digital readout, wireless transmission and so on. Hence, an effective lineariser is needed to overcome the difficulties. In this stud...

Robotics is a rapidly growing field in the area of science and technology. With the growth of industrialization and automation one requires a better precision of work with improved productivity and less expenditure. It has reduced additional effort of production line though; it reduces man power and provides faster response as well as better precis...

This paper presents the development of an artificial neural network (ANN)-based linearizer for thermistor connected in operational amplifier based inverting amplifier circuit. The op-amp based thermistor signal conditioning circuit exhibits a stable temperature-voltage relation over a temperature range of 0°C-100°C with moderate linearity. The tran...

With the increasing concern for reliability and quality of service, power grid in many countries is undergoing revolution towards a more distribute and flexible “Smart Grid”. In the development of envisioned smart grid, situational data awareness takes a fundamental role for a number of crucial advanced operations in the areas of sensing, communica...

Recent advances in wireless communication lead to many improvements in application specific wireless sensor network (WSN) deployment. Sensing different data from different environments is essential to monitor and control the situations. For instance, it is very important to sense the forest fire as early as possible to control the upshot. So effici...

Recent advances in wireless communication lead to many improvements in application specific wireless sensor network (WSN) deployment. Sensing different data from different environments is essential to monitor and control the situations. For instance, it is very important to sense the forest fire as early as possible to control the upshot. So effici...

This paper presents the development of an artificial neural network (ANN)-based linearizer for thermistor connected in operational amplifier based inverting amplifier circuit. The op-amp based thermistor signal conditioning circuit exhibits a stable temperature-voltage relation over a temperature range of 0°C-100°C with moderate linearity. The tran...

Automatic controllers are introduced for efficient control of the process industries. Proportional, Integral and derivative (PID) controllers are the most widely used controllers in the most process industries because of their robustness, easy implementation and simplicity. Various tuning methods like Ziegler-Nichols (Z-N) method, Cohen-Coon(CC) me...

This paper presents the development of an artificial neural network (ANN)-based linearization technique for the voltage controlled oscillator (VCO) thermistor circuit. VCO thermistor circuit exhibits a linear analog temperature-frequency relation over a temperature range of 0 °C-100 °C with good response and reasonable error. An ANN-based direct mo...

This paper presents the development of an artificial neural network (ANN)-based improved inductive signal conditioning circuit for pressure transducer with bellow as sensor. A bellow is an elastic-type mechanical pressure sensor. The deflection of the bellow due to applied pressure must be translated into an efficient electrical signal for continuo...

In this paper fractional order PID (FOPID) is developed for a three tank system. Fractional-order controllers are based on the fast developing scientific arena called fractional-order calculus. These concepts are valid in solving many scientific and engineering problems, including robust control system design. The fractional PID is a progress of th...

In this paper fractional order PID (FOPID) is developed for a three tank system. Fractional-order controllers are based on the fast developing scientific arena called fractional-order calculus. These concepts are valid in solving many scientific and engineering problems, including robust control system design. The fractional PID is a progress of th...

Tuning of proportional integral and derivative (PID) Controllers for stable and unstable second order plus time delay systems (SOPTD), based on Model Driven Two Degree of Freedom PID (MDTDOF PID) and Internal model controller (IMC) are proposed in this paper. Due to inherent disadvantages of conventional control techniques, model based control tech...

With the increase in population, traffic density on roads has increased to a level that makes navigating through cities extremely difficult. The apex of the problem is seen at traffic junctions, where the traffic light systems are hard coded and not adaptive to the real-time traffic conditions. The proposed system involves a closed loop control of...

Ubiquitous and pervasive health monitoring in everyday life is the key for long-term unobtrusive monitoring of biomedical signals to enable early-stage diagnosis of health issues for proactive health care. Health care costs can be minimized by providing health services at a patient's home where the cost is the lowest as opposed to expensive clinica...

In this paper, a liquid level transmitter using cylindrical capacitive sensor and an improved linearized network for capacitance measurement has been proposed to measure the liquid level and to convert level changes into an electrical current which can be transmitted to a remote indicator. The change in capacitance of cylindrical capacitive sensor...

In this paper, a pressure transmitter using a modified op-amp based network for inductance measurement using a bellow as sensor has been proposed to measure the pressure and to convert pressure changes in to an electrical current which can be transmitted to a remote indicator. The change in inductance due to change in pressure is measured by an imp...

This paper introduces a novel way of linearizing the thermistor characteristic using Voltage Controlled Oscillator (VCO) which exhibits a linear analog temperature/frequency relation over a wide temperature range (0 °C to 120 °C) with reasonably good response linearity, reliability, and overall improved performance. Linearization is required to com...

Thermistors have high sensitivity which makes them suitable for various applications, but they exhibit a highly nonlinear resistance-temperature relationship which is exponential in nature. This nonlinearity is an important problem and a lot of research has been dedicated to correct it. In this paper a virtual instrument has been developed based on...

The small resistance of a resistive transducer generally linearly changes with a process variable, but their measurement by the usual resistive bridge circuit like the Classical Wheatstonebridge suffers from errors due to the nonlinearity,contact resistances, effect of the shunt resistance between bridge nodal points and the lumped resistances of l...

In recent years, ECG signal plays an important role in the primary diagnosis, prognosis and survival analysis of heart diseases. Electrocardiography has had a profound influence on the practice of medicine. This paper deals with the detection of QRS complexes of ECG signals using derivative based/Pan-Tompkins/wavelet transform based algorithms. The...

Data acquisition and analysis of various cardiac /transducer signals based on virtual instrument technology is gaining importance. This paper introduces a novel way of automating the diagnosis of cardiac disorders using an expert system developed on the basis of information derived from the analysis of Electrocardiogram (ECG) and also provides the...

Thermistors have high sensitivity which makes them suitable for various applications, but they exhibit a highly nonlinear resistance-temperature relationship which is exponential in nature. This nonlinearity is an important problem and a lot of research has been dedicated to correct it. In this paper a virtual instrument has been developed based on...

Data acquisition and analysis of various cardiac signals are gaining importance. Electrocardiography has a basic role in cardiology since it consists of effective, simple, noninvasive, low-cost procedures for the diagnosis of cardiovascular disorders. This paper introduces a way of automating the diagnosis of cardiac disorders using an expert syste...