Venugopal Chitra

Venugopal Chitra
Oregon Institute of Technology · Department of Electrical Engineering and Renewable Energy

Ph.D

About

33
Publications
7,456
Reads
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207
Citations
Citations since 2016
21 Research Items
120 Citations
20162017201820192020202120220510152025
20162017201820192020202120220510152025
20162017201820192020202120220510152025
20162017201820192020202120220510152025
Additional affiliations
September 2017 - January 2019
Oregon Institute of Technology
Position
  • Professor (Assistant)
March 2017 - present
University of Trinidad and Tobago (UTT)
Position
  • Professor (Associate)
March 2017 - present
University of Trinidad and Tobago (UTT)
Position
  • Professor (Associate)
Education
April 2006 - September 2012
SASTRA University
Field of study
  • Electrical Engineering

Publications

Publications (33)
Article
Full-text available
The objective of this research is to design and develop a robotic arm for an automatic fuelling system using a PLC LogixPro simulation. The system includes the “FASS” concept, which is Fast, Accurate, Safe and Simple, to allow car users to have an efficient fuel filling system. The design concept consists of three processes – identification of the...
Article
Full-text available
At present, there is a serious energy crisis around the globe which impacts greatly on the power grid. A smart and user friendly energy management system can control the energy consumption. In this paper, load power and energy management system is developed and simulated using Proteus Visual Design software. The load analysis and measurement techni...
Article
This research provides a comparison between the performance of Mamdani and Sugeno Fuzzy Inference System in Calorie Burn calculation for treadmill workout exercise. The results are compared against the calculation calorie burn value using traditional formula. The objective of this results to get a system which provides calorie burn results closer t...
Article
The manual tuning of PI and PID controllers and the restriction in choosing the controller parameters are their major drawbacks. In many simulation studies, the artificial intelligence controllers such as Fuzzy logic, ANN and ANFIS are implemented and compared with the performance of conventional PI controllers. It has to be noted that imprecision...
Article
The manual tuning of PI and PID controllers and the restriction in choosing the controller parameters are their major drawbacks. In many simulation studies, the artificial intelligence controllers such as Fuzzy logic, ANN and ANFIS are implemented and compared with the performance of conventional PI controllers. It has to be noted that imprecision...
Article
This paper presents rule based fuzzy logic controller applied to matrix converter fed induction motor. Matrix converter theory is discussed and the simulation model is designed. The output voltage and input current waveforms are presented. Induction motor is modeled in d-q frame and speed control is achieved by fuzzy logic controller and PI control...
Conference Paper
A solar system using PV arrays to convert solar radiation into direct current was a preferred renewable energy source compared to others. Fluctuations in a commercial grid power supply depended greatly on peak power demand load. It was, therefore, more convincing to utilise a PV array system to meet peak time demand. In this paper the design of a h...
Conference Paper
This paper presents a novel Adaptive Neural Fuzzy Inference System (ANFIS) based Matrix Converter for speed control of Induction Motor. The proposed ANFIS consists of fuzzy logic controller algorithm with a five layer Artificial Neural Network. The ANFIS system tunes the fuzzy system with hybrid learning algorithm and hence generates the reference...
Article
In traction applications, PMSMs are gaining attention due its reliability and wide constant power speed ranges. The high maintenance cost and complicated control methods are the disadvantages of PMSM. The efficiency of PMSM can be increased to suit the requirements of traction applications by achieving direct control of stator current. However it i...
Article
Induction cooking is widely used nowadays due to its high efficiency and safety. Induction cooking is derived from the principle of electromagnetic induction by inducing eddy currents in the coil that get excited in the ferromagnetic material to cause heating [1]. In this research, solar energy is used as a source of power for the induction stove....
Chapter
The power demand during peak period causes large power fluctuations in the commercial grid. The reduction in using grid supply during peak time benefits the supplier and consumer. There are many methods such as monitoring the usage of grid supply, implementing load shedding, using local generators and disconnecting unwanted loads during peak time,...
Chapter
Photovoltaic (PV) generation is largely recognized around the world since it is a renewable resource and it offers advantages such as no fuel costs, less maintenance, zero noise and pollution emission. The specific control and maximum operation of the output power of the solar module is thus crucial and it is required to control the maximum power p...
Chapter
Gamification can be viewed as a process design which encapsulates competition, achievements, status and self-expression. Gamification is used as a tool for improving physical fitness. In this chapter the physical activity using treadmill walking is considered. Calorie burn calculation plays a vital role in the gamification design. In treadmill calo...
Chapter
In industrial applications, approximately, 60% of world's consumption of electrical energy passes through the windings of squirrel-cage induction motors. Hence it is necessary to select an efficient drive circuit for induction motor to save energy. The MC are preferred to replace VSC in industrial applications. To control the performance of the MC,...
Chapter
Gamification can be viewed as a process design which encapsulates competition, achievements, status and self-expression. Gamification is used as a tool for improving physical fitness. In this chapter the physical activity using treadmill walking is considered. Calorie burn calculation plays a vital role in the gamification design. In treadmill calo...
Chapter
In industrial applications, approximately, 60% of world's consumption of electrical energy passes through the windings of squirrel-cage induction motors. Hence it is necessary to select an efficient drive circuit for induction motor to save energy. The MC are preferred to replace VSC in industrial applications. To control the performance of the MC,...
Article
Wound rotor induction motors are commonly used in high torque, adjustable speed industrial applications. The provision to add external resistances to the rotor offers high starting torque and smooth starting at a low starting current. In this paper, the look-up table method and fuzzy logic methods are introduced to estimate the rotor resistance val...
Article
This paper is focused on Fuzzy Extreme Learning Machine (ELM) algorithm based field oriented control system for induction motor fed by Matrix Converter drive. The use of fuzzy ELM algorithm based ANN Controllers in the FOC system reduces the computation time. The controller is used to compute the appropriate set of switching voltage vectors for...
Article
Full-text available
In this study an Adaptive Neuro Fuzzy Inference System is introduced to select the switching states of Matrix Converters. Matrix converters have received more attention in research and industrial application due its advantages like four quadrant operation, sinusoidal input and output waveforms, controllable displacement factor, less number of switc...
Article
Full-text available
This study deals with the design of distributed power systems and optimal capacitor placement based on the ANFIS (Adaptive Network Fuzzy Inference Systems) using Mamdani-type fuzzy inference model. Traditionally, this problem of optimal capacitor placement has been solved through various optimization techniques, but it is less accuracy of finding p...
Article
Full-text available
Matrix Converters are becoming popular in industrial applications due its better performance than the conventional VSI converters. The advantages of Matrix Converters are bidirectional current flow, adjustable displacement angle and sinusoidal input current and output voltage. Two control schemes used to control the speed of Induction motor. They a...
Conference Paper
Full-text available
Extensive researches are being carried out to implement on-demand, QoS supported VANET routing algorithms. Reliability and timely information delivery are of high concern in VANETs. Providing optimal QoS over specific period of time with varying number of nodes (vehicles) is highly challenging the VANET research groups. This paper addresses the imp...
Article
Full-text available
This paper presents Artificial Neural Network (ANN) based Direct Torque control scheme for Matrix Converter fed Induction Motor. Matrix Converter drives have received more attention due to its bidirectional current flow, sinusoidal input current, sinusoidal output voltage and adjustable displacement angle. Direct Torque Control scheme provides dire...
Article
This paper is focused on Fuzzy Extreme Learning Machine (ELM) algorithm based field oriented control system for induction motor fed by Matrix Converter drive. The use of fuzzy ELM algorithm based ANN Controllers in the FOC system reduces the computation time. The controller is used to compute the appropriate set of switching voltage vectors for mat...
Conference Paper
This paper presents the fuzzy inference system for selecting the switch states of matrix converter using Direct Torque Control Technique to control the speed of induction motor. In this system, two fuzzy controllers are used. One fuzzy controller estimates the voltage and the other fuzzy controller is used to select the switching vector based on th...
Article
This paper presents a novel Adaptive Neural Fuzzy Inference System (ANFIS) based Matrix Converter for speed control of Induction Motor. The proposed ANFIS consists of fuzzy logic controller algorithm with a five layer Artificial Neural Network. The ANFIS system tunes the fuzzy system with hybrid learning algorithm and hence generates the reference...
Article
Full-text available
Because of the low maintenance and robustness induction motors have many applications in the industries. The speed control of induction motor is more important to achieve maximum torque and efficiency. Various speed control techniques like, Direct Torque Control, Sensorless Vector Control and Field Oriented Control are discussed in this paper. Soft...
Article
Full-text available
This paper deals with the design of unbalanced power loading problem in a power distributed systems and optimal switching capacitor placement based on Extreme Learning Machine. The recent studies reveal that the problem of optimal switching capacitors placement have been solved through various non-traditional optimization techniques, which are less...

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