{"title":"Design and Specifications of SVPWM Controlled Three Phase Three Wire Shunt Active Power Filter for Harmonic Mitigation","authors":"S. Charles, C. Vivekanandan","doi":"10.1109/PACC.2011.5978979","DOIUrl":"https://doi.org/10.1109/PACC.2011.5978979","url":null,"abstract":"The most important part of the shunt active power filters is generating of gate signal for Voltage Source Inverters (VSI). In this paper the proposed Space Vector Pulse Width Modulation (SVPWM) is implemented in a closed loop control system for a shunt active power filter. The reference harmonic components are extracted from the sensed nonlinear load currents by applying the Synchronous Reference Frame (SRF) theory, where a three-phase thyristor bridge rectifier with R-L load is taken as the nonlinear load. The switching control algorithms of the proposed SVPWM would be generating appropriate switching gates to the voltage source inverter. The shunt active power filter generates the actual compensating harmonic current based on the switching gates provided by the controller. For showing the performance of proposed method a typical system has been simulated by MATLAB/SIMULINK. The proposed active power filter is able to improve about 30.18% of the total harmonic distortion (THD) for the distorted line current caused by an uncontrolled rectifier as the nonlinear load and to meet IEEE 519 standard recommendations on harmonics level.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"27 17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115633655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fault Tolerant Control Design for Simultaneous Actuator and Sensor Faults Using Multiple MPCs","authors":"S. Kanthalakshmi, V. Manikandan","doi":"10.1109/TENCON.2011.6129063","DOIUrl":"https://doi.org/10.1109/TENCON.2011.6129063","url":null,"abstract":"This paper presents active fault tolerant control (FTC) scheme for linear systems. The proposed FTC is designed based on integrating the model predictive control (MPC), fault detection filter and logic-based switching approach. Multiple MPCs are designed by foreseeing the possible faults. A fault detection filter (Kalman Filter) is used to detect the fault. The supervisor on receiving the fault information, switches to new control configuration using logic-based switching technique. An example of DC motor model is given to illustrate the effectiveness of the proposed method.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117141561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Ananda Kumar, H. Dahake, Nilabha Bhattacharya, Dheerendra Singh
{"title":"Solar Power Based Impedance - Source Converter for BLDC Motor with Closed Loop Control","authors":"A. Ananda Kumar, H. Dahake, Nilabha Bhattacharya, Dheerendra Singh","doi":"10.1109/PACC.2011.5979054","DOIUrl":"https://doi.org/10.1109/PACC.2011.5979054","url":null,"abstract":"In this paper a new solar power system feeding a brushless dc motor (BLDC) is proposed. The energy of the solar panel is to make optimal use of a maximum power point tracker (MPPT) is required. This operates the solar panel at the optimum operating point. This function is taken over by a DSC. The brushless DC motor is controlled by full bridge with hall sensors. A feedback is transmitted from the engine to the controller. Thus a closed loop control can be implemented. The goal of this paper is to replace the existing Boost DC by the newly developed Impedance Source link. The hardware implementation of the Z-source inverter in DSC and Simulink has been discussed in this paper.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"280 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121072116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Multiple Model Adaptive Control Strategy for Model Predictive Controller for Interacting Non Linear Systems","authors":"V. Ravi, T. Thyagarajan, M. Monika Darshini","doi":"10.1109/PACC.2011.5978896","DOIUrl":"https://doi.org/10.1109/PACC.2011.5978896","url":null,"abstract":"Model predictive control (MPC) has become the leading form of advanced multivariable control in the chemical process industry. The objective of this work is to introduce a multiple model adaptive control strategy for multivariable MPC. The method of approach is to design multiple linear MPC controllers. This strategy maintains performance of multiple linear MPC controllers over a wide range of operating levels. One important contribution is that the strategy combines several multiple linear MPC controllers, each with their own linear state space model describing process dynamics at a specific level of operation. One of the linear MPC controller output is selected as multiple model adaptive controller's output based on the current value of the measured process variable. The tuning parameters for the linear MPC controller are obtained using Genetic Algorithm (GA). The capabilities of the multiple model adaptive strategy for MPC controller are investigated on Two Tank Conical Interacting System (TTCIS) through computer simulation.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121240806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Prognostic Algorithm for Sensors and Actuators Using Multiresolution Signal Decomposition Technique","authors":"H. Bal, S. Mohanty, N. Mahalik, Kiseon Kim","doi":"10.1109/PACC.2011.5979041","DOIUrl":"https://doi.org/10.1109/PACC.2011.5979041","url":null,"abstract":"Model-based Fault Detection and Isolation (FDI) in sensors and actuators are found in the literature since two decades. This research focuses on multi-resolution signal decomposition (MRSD) method which is an extension of the Short-Time Fourier Transform, a spectral analysis methods for FDI. The simulation study suggests that the developed MRSD algorithms can be effectively used for the design of smart sensors and actuators.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126154271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Advanced FACTS Controller for Power Flow Management in Transmission System Using IPFC","authors":"R. Bharathi, C. A. Asir Rajan","doi":"10.1109/PACC.2011.5978982","DOIUrl":"https://doi.org/10.1109/PACC.2011.5978982","url":null,"abstract":"This paper presents an advanced FACTS controller for power flow management in transmission system using IPFC. Regulator uncertainty, cost, and lengthy delays to transmission line construction are just a few of the barriers that have resulted in the serious deficiency in power transmission capacity that currently prevails in many regions. Solving these issues requires innovative tool on the part of all involved. Low environmental-impact technologies such as flexible AC transmission system (FACTS) and dc links are a proven solution to rapidly enhancing reliability and upgrading transmission capacity on a long-term and cost-effective basis. Interline power flow controller (IPFC) is a new concept of FACTS controller for series compensation with the unique capability of power flow management among multi-line of a substation. In this work mainly concentrated on choosing a suitable voltage source converter, to employ it in the IPFC. A 48 pulse multilevel inverter has been developed by cascading several units of three level diode clamped multilevel inverter (NPCI) with the help of phase shifting transformer. A simple and typical test system model has been developed to check the performance of IPFC an advanced FACTS controller. A closed loop controller has been developed to maintain the voltage profile of the test system.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114275841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fuzzy Logic Based-SVPWM Current Controller for Inverter-Interfaced Distributed Generation System","authors":"S. Jena, Distributed Generat, B. Babu, A. Naik","doi":"10.1109/PACC.2011.5978984","DOIUrl":"https://doi.org/10.1109/PACC.2011.5978984","url":null,"abstract":"The market penetration of the distributed generation (DG) is anticipated to increase radically due to global energy crisis. To meet the future energy demand, DGs are one of the viable options, but the complexity is to integrate DGs with the utility grid. The synchronization is needed in order to ensure 1) the grid stability 2) the injection of high quality power to the utility grid and 3) high efficiency etc. For that, pulse width modulated voltage source inverter (PWM-VSI) is used to interface the DGs with the utility grid. However, the inverter performance is largely depends on the applied current control strategy. In this paper for current control of the PWM-VSI, fuzzy logic based SVPWM technique is employed due to its fast dynamic response and better Dc-link voltage utilization. Further in this paper an effort has been made to design the current error compensation scheme by using fuzzy logic controller in order to improve the overall performance of grid connected inverter system. The studied system is modeled and simulated in the MATLAB/Simulink environment.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122141240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Murugesan, R. Rudramoorthy, G. Chandramohan, M. Senthil Kumar, L. Ashok kumar, K. Vishnu Murthy, R. Suresh Kumar
{"title":"Development of ECU Based Starting System for Automobiles","authors":"V. Murugesan, R. Rudramoorthy, G. Chandramohan, M. Senthil Kumar, L. Ashok kumar, K. Vishnu Murthy, R. Suresh Kumar","doi":"10.1109/PACC.2011.5978987","DOIUrl":"https://doi.org/10.1109/PACC.2011.5978987","url":null,"abstract":"Engine start is a very crucial phase in the operation of automotive engines, the starter motor plays a vital role in this short transient period. However, a complete exhaustive model of the combined engine starter system has not appeared to date in open literature. As a typical mechanical and electric device relating to efficiency, safety to passenger car start and process, passenger car starting system based on integrated control method by electronic control unit (ECU). By using Lead acid battery or recent Absorbent Glass Material battery (AGM) how the battery behavior is studied by measuring peak current including cold cranking ampere (CCA).This paper discusses an approach to develop electronic control unit based starting system to reduce the internal resistance of the battery due to overloading, failure of mechanical components of starter motor and pitting of electrical contacts of solenoid switch.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116881904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Kiran, C. Subramani, Subhransu Sekhar Dash, M. Arunbhaskar, M. Jagadeeshkumar
{"title":"Particle Swarm Optimization Algorithm to Find the Location of Facts Controllers for a Transmission Line","authors":"S. Kiran, C. Subramani, Subhransu Sekhar Dash, M. Arunbhaskar, M. Jagadeeshkumar","doi":"10.1109/PACC.2011.5978856","DOIUrl":"https://doi.org/10.1109/PACC.2011.5978856","url":null,"abstract":"The main purpose of this project is to find the optimal location of FACTS controllers in a multi machine power system using particle swarm optimization (PSO). Using the proposed method, the location of FACTS controller, their type and rated values are optimized simultaneously. Among the various FACTS controllers, Thyristor Controlled Series Compensator (TCSC) and Unified Power Flow Controller (UPFC) are considered. The proposed algorithm is an effective method for finding the optimal choice and location of FACTS controller and also minimizing the overall system cost, which comprises of generation cost and the investment cost of the FACTS controller using PSO and conventional Newton Raphson's power flow method. A MATLAB coding is developed for Enhanced Genetic Algorithm. In order to verify the effectiveness of the proposed method, IEEE 14- bus system is used.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117253938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Advanced Direct Torque Control of Induction Motor","authors":"T. Prabu, S. Sampathkumar, R. Gunabalan","doi":"10.1109/PACC.2011.5978886","DOIUrl":"https://doi.org/10.1109/PACC.2011.5978886","url":null,"abstract":"Recent development in power electronics and soft computing techniques made it possible to design and implement the sophisticated control strategies of AC motor drives. In this paper the Direct Torque Control (DTC) which is one of the most excellent control strategies of ac motors which give very good steady and dynamic response is simulated. The current research directed towards the improving the performance of this technique whose main drawbacks like the ripples on the torque, on the flux and on the stator current. To reduce the torque ripple, twelve sector DTC is proposed instead of the six sector classical DTC. Also the Luenberger observer is used to estimate the rotor speed and rotor flux. Simulation results are presented to prove the effectiveness of twelve sector DTC.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128255378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}