Control Systems Engineering

An efficient and new but non-intrusive method to detect the fluctuation in gear load may be the motor current signature analysis (MCSA). In this paper, a multi-stage transmission gearbox (with and without defects) has been studied in order to replace the conventional vibration monitoring by MCSA. It has been observed through FFT analysis that low frequencies of the vibration signatures have sidebands across line frequency of the motor current whereas high frequencies of vibration signature are difficult to be detected. Hence, discrete wavelet transform (DWT) is suggested to decompose the current signal, and FFT analysis is carried out with the decomposed current signal to trace the sidebands of the high frequencies of vibration

VOLTAGE Voltage (V) is a measure of the amount of pressure, or electromotive force, applied to electrons to make them move. A Volt is the unit of electromotive force that will force a current of one ampere through a resistance of one ohm. After we learn about current and resistance, this definition will make more sense. Voltage is measured in units of Volts (V). CURRENT Current (I) is the measure of electron flow in a conductor between two points having a difference in potential (voltage). Current is measured in units of Amperes or Amps (A). RESISTANCE For conducting wires, the resistance of the wire is actually a constant that is dependent on the conductor material (the wire may be made out of copper, aluminum, silver – all have different resistance properties) and the size of the wire (diameter). Resistance (R) is measured in units of Ohms (Ω). OHM'S LAW Ohm's Law states: V = I * R [Units: Volts = Amps * Ohms or V = I * Ω ] or Voltage = Current x Resistance From basic Algebra, if we can solve for V by multiplying I and R, we should be able to work backwards to find R if we know V and I simply by dividing V by I. R = V / I or Resistance = Voltage / Current

This paper describes a voting system that is completely automated, unbiased and online for making the voting process easy, more secure and reducing the processing time. The project is divided mainly into three sections, first one is organization registration phase, where the organization that wants to conduct the voting for their organization will be registered by the admin, the second one is voter registration phase of voter done by the organizations and the third one is the actual voting phase where live voting will be conducted. In the organization registration phase, the details of the organization will be registered in a database and a unique ID will be generated for each registered organization. For each organization registered, an environment will be provided to them where they can add the voters, voting details and update the details. In the voting console, each voter will be allowed to access the voting page only after proper authorization. A user will be allowed to vote for a single time only. The choice of voter will be recorded and the count will be incremented respectively.

En el presente trabajo se realizó una interfaz gráfica con LabVIEW. Para la medición del flujo volumétrico, másico y el nivel empleando componentes que en su mayoría son fáciles de adquirir y de bajo costo; siendo éstas, la velocidad del fluido que recorre por una tubería y la altura que se va acumulando con respecto al tiempo. Para tener una mayor precisión entre la medición real y en la interfaz se realizó pruebas de jarra con el fin de calibrar nuestros sensores.
En la medición de flujo másico y volumétrico se obtuvieron mediante la medición de la velocidad de fluido mediante el efecto hall, la inducción magnética y realizando ciertas operaciones matemáticas, para determinar el nivel de agua que se va acumulando se diseñó y construyó un sensor casero apoyándose a la diferencia de potencial que éste genera al variar un potenciómetro. A través de la tarjeta de adquisición de datos NI USB -6009, las variables de proceso medidas fueron adquiridas por la interfaz gráfica que se desarrolló en LabVIEW. La información adquirida es procesada y enviará una respuesta para poder controlar la entrada de flujo y nivel.
La realización de este trabajo pretende automatizar la dosificación de cloro para la potabilización del agua para el consumo humano, siendo así, un gran apoyo y facilidad para su manejo en procesos como éstos; obedece los parámetros de un sistema de control lazo cerrado.

Abstract This paper proposes an MPC based compound flight control technique for trajectory tracking and attitude control for a ducted fan aircraft subject to different uncertainties and external disturbances. This approach aims to ensure flight robustness and achieves adequate tracking without sacrificing nominal performance while satisfying constraints under external disturbances and various uncertainties. A nonlinear ducted fan aircraft with non-minimum phase behavior is considered. By unifying a nonlinear disturbance observer with MPC, a compound flight controller is constructed. The recursive feasibility of the optimization problem for the compound controller is guaranteed, and the closed-loop stability is ensured. To demonstrate the effectiveness of the developed scheme, a robust MPC framework is employed for comparative analysis. Finally, numerical simulations and discussions are provided to corroborate the performance of both compound strategies.

Modular Multilevel Converter (MMC) has found very wide application in renewable energy sources, DC power transmission, high voltage applications and micro grid. However the technical challenge of MMC is to maintain constant current, constant power and constant voltage at the output depending on the requirement. In this paper a control loop is developed for maintaining constant power at the MMC. The power controller is realized by using PI controller. The PWM technique used for generation of gating pulses is Phase Disposition PWM (PD-PWM) technique, The simulation of current and the active power controller is carried out by MATLAB/SIMULINK and the results are presented.

This paper presents a small scale autonomous ground vehicle which is configured using sensors. The autonomous small scaled vehicle has been engineered to have dynamic behaviours equivalent with real ground vehicle. The main objective of the using sensors configuration is to obtain the dynamic behaviour of scaled vehicle. Sensors configuration are equipped with electronic instruments, Arduino Duemilanove, wireless communication system, data acquisition system, and numerous sensors. This study is conducted by simulation and experiment.

Citation/Export MLA Ronak Mistry, Kishan Malaviya, Harsh Kotak, Harshil Bhatt, Urvi Patel, “A Novel Approach to Autonomous Farming Robot”, April 15 Volume 3 Issue 4 , International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC), ISSN: 2321-8169, PP: 2362 - 2366, DOI: 10.17762/ijritcc2321-8169.1604127 APA Ronak Mistry, Kishan Malaviya, Harsh Kotak, Harshil Bhatt, Urvi Patel, April 15 Volume 3 Issue 4, “A Novel Approach to Autonomous Farming Robot”, International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC), ISSN: 2321-8169, PP: 2362 - 2366, DOI: 10.17762/ijritcc2321-8169.1604127

This paper presents an application of statistical arbitrage to foreign exchange markets and specifically on instruments that obey a triangle rule/law. These instruments have a long-term cointegration relationship which leads to the mean-reversion behaviour evident in their data. Metatrader 4 is used to develop an indicator which in turn is used to gather and process price data and inform an investor on when and how to invest in a particular combination of three instruments obeying the triangle rule. That is, a simple strategy is outlined and its long-term profitability is demonstrated using expectation value under some mild assumption of stability of cointegration model parameters.

Our society is fully dependent on the power generating station. The power system comprises of three parts i.e. generation, transmission and distribution of electrical power. Now a days due to lake of the Non-renewable sources like coal etc. So due to day by day increasing demand of electricity and fulfill this demand our society is turns towards the renewable sources like wind energy and solar energy. Use of linear electrical loads like transformers and motors etc. There is a problem of unbalance of current waveforms and unbalancing in power system. Voltage unbalancing due to the fluctuation of the reactive loads. This reactive power is compensated by the series compensator and shunt compensator. Among of these STATCOM is most effective device for mitigation of voltage Fluctuation and unbalancing.

This paper mainly explores a specific deep learning method to build a conversational agent. Nowadays the popularity of chatbot systems is on rise as they attempt to get into daily life and achieve some commercial success. Previous approaches used simple keywords & pattern matching methodologies, answering in a static manner irrespective of previous conversions. As an improvement to this technology would be a system that will work with sequence to sequence framework. Our proposed model makes use of this framework. Given the previous sentence or sentences and the next sentence in a conversation, the model converses by predicting the next sentence. The distinctive feature of our model is that it can be trained end-to-end hence requires much fewer hand-crafted rules. This straightforward model can generate simple conversations given a large conversational training dataset.

In islanding operating mode of microgrid, the voltage and frequency of system must be maintained by the microgrid, or else the system will crumble due to the characteristics of different distributed generators (DG) utilized in microgrid. The voltage and frequency lost provision when main grid is disconnected. This paper presents PI controller based voltage controller to regulate voltage to its normal condition. The controller is proposed to be utilized individually with each distributed generator (DG) in microgrid. The controller compares inverter output voltage with voltage at point of common coupling (PCC) and its output is feed to PWM pulse generator to generate appropriate pulses for inverter to regulate voltage to its nominal value. The simulation results of proposed system are shown using MATLAB/Simulink platform.

This study has been undertaken to investigate the speed control ACIM using field oriented control. The principle of vector control of electric drives is based on the control of both the magnitude and the phase of each phase current and voltage. for this purpose, the study of available conventional and non-conventional approaches has been presented. This paper also presents a clear study which illustrates introduction of efficient vector control of ACIM.

The Paper analyses the use of a single phase inverter for remote residential loads powered by solar photovoltaic arrays for meeting household energy requirements. The study also describes the importance and role of PI controller in the proposed model for stand-alone systems to mitigate the effect of the variations by manual tuning of the controller. The paper discusses the behaviour of the tuned controller and the outcome such tuning.

SOLAR PANEL CONTROL USING SLIDING MODE
Akshata Upare, Priyanka Kumbhar, Jaydeep Patel, Pawan Chilka, S.L.Chavan
Department of Electronics & Telecommunications, Rajarshi Shahu College of Engineering
Affiliated to University of Pune, Pune, Maharashtra, India

In this paper, a new sliding mode controller is proposed as the indirect control method and compared to a simple direct control method in order to control a buck converter in photovoltaic applications. The solar arrays are dependent power sources with nonlinear voltage-current characteristics under different environmental conditions. From this point of view, the DC/DC converter is particularly suitable for the application of the sliding mode control in photovoltaic application, because of its controllable states. Solar tracking allows more energy to be produced because the solar array is able to remain aligned to the sun. This method has the advantage that it will guarantee the maximum output power possible by the array configuration. Problems and possible improvements will also be presented.

This paper describes a generalized model of the three-phase induction motor and its computer simulation using MATLAB/SIMULINK. Constructional details of various sub-models for the induction motor are given and their implementation in SIMULINK is outlined. Direct-online starting of a 7.5-kW induction motor is studied using the simulation model developed.

In this paper, a nonlinear control algorithm for a current-fed DC-DC is presented. This converter consists of an inductor, a controllable full-bridge converter, which is connected to a full-bridge rectifier via a high-frequency transformer. The advantages of this converter include galvanic isolation, high voltage gain and low input current ripple. Based on Flatness properties, we proposed a controller, which can guarantee the responses during either start-up or steady-state. The experimental results are obtained for validating the proposed control method.

https://www.ijert.org/ghnn-based-selective-harmonic-elimination-implementation-for-single-phase-inverter

https://www.ijert.org/research/ghnn-based-selective-harmonic-elimination-implementation-for-single-phase-inverter-IJERTV8IS020056.pdf

In this paper, Generalized Hopfield Neural Network (GHNN) based Selective Harmonic Elimination Pulse Width Modulation (SHEPWM) is implemented to single phase inverter. Different order of harmonics can be eliminated by using this projected work. This proposed technology tries to eliminate fifth, seventh, eleventh and thirteenth order harmonic. Performance analysis is carried out in the form of simulation using MATLAB/Simulink. To get the continuous switching instants for corresponding modulation indices M, these system is solved by Ordinary Differential Equation's (ODE's) by fourth order of Runge Kutta i.e. RK-4. With the help of Fast Fourier Transform (FFT) Analysis, Output voltage verifies the effectiveness of proposed technique. Hence, it proves that SHEPWM is applicable in industrial application.