![]() |
Parameter Identification of Induction Motor Using Modified Particle Swarm Optimizati - Printable Version +- Free Academic Seminars And Projects Reports (https://easyreport.in) +-- Forum: Project Ideas And Disscussion (https://easyreport.in/forumdisplay.php?fid=32) +--- Forum: Engineering Project Ideas (https://easyreport.in/forumdisplay.php?fid=33) +---- Forum: Computer Science Project Ideas (https://easyreport.in/forumdisplay.php?fid=36) +---- Thread: Parameter Identification of Induction Motor Using Modified Particle Swarm Optimizati (/showthread.php?tid=20061) |
Parameter Identification of Induction Motor Using Modified Particle Swarm Optimizati - rare1989 - 08-16-2017 Abstract This paper presents a new technique for induction motor parameter identification. The proposed technique is based on a simple startup test using a standard V/F inverter. The recorded startup currents are compared to that obtained by simulation of an induction motor model. A Modified PSO optimization is used to find out the best model parameter that minimizes the sum square error between the measured and the simulated currents. The performance of the modified PSO is compared with other optimization methods including line search, conventional PSO and Genetic Algorithms. Simulation results demonstrate the ability of the proposed technique to capture the true values of the machine parameters and the superiority of the results obtained using the modified PSO over other optimization techniques. I. INTRODUCTION Induction motors are the most widely used motors in industry because they are simple to build, rugged, reliable and have good self-starting capability. The majority of control schemes of such motor drives require exact knowledge of at least some of the induction motor parameters. Mismatch between the actual motor parameter values and that used within the controller leads to deterioration in the drive performance [1]. In order to avoid performance degradation, motor drives usually perform a pre-tuning algorithm during inverter initialization. The pre-tuning is based on offline parameter estimation using data available from simple test of motor performance while supplied by the inverter. Several methods have been proposed to tackle the problem of offline induction machine parameter estimation [2]. The rapidly increasing computational power of personal computers allowed researchers to implement several optimization algorithms and verify their efficiency. Researchers developed many algorithms that mimic natural phenomena. Examples of these algorithms include the Simulated Annealing [3], Genetics Algorithms (GA) [4], Ant Colony Optimization [5] algorithms. Particle Swarm Optimization (PSO) [6] is among these nature inspired algorithms. It is inspired by the ability of birds flocking to find food that they have no previous knowledge of its location. Every member of the swarm is affected by its own experience and its neighbors experiences. Although the idea behind PSO is simple and can be implemented by two lines of programming code, the emergent behavior is complex and hard to completely understand [7]. In this paper different versions of PSO are used to identify six parameters of the motor. The results obtained using these optimizers are presented and discussed. Download full report http://googleurl?sa=t&source=web&cd=2&ved=0CCgQFjAB&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.160.8800%26rep%3Drep1%26type%3Dpdf&ei=cHkyTr7eBYbtrAfo6tD1Dg&usg=AFQjCNFsGg9FqsVP1SoNY_v-8lBSLD44pA&sig2=8A99aSk0XcQ69a24CfIEWQ Parameter Identification of Induction Motor Using Modified Particle Swarm Optimizati - anil - 08-16-2017 to get information about the topic "starting methods induction motor " full report ppt and related topic refer the page link bellow http://seminarsprojects.net/Thread-single-phase-induction-motor?pid=53213&mode=threaded http://seminarsprojects.net/Thread-parameter-identification-of-induction-motor-using-modified-particle-swarm-optimizatio http://seminarsprojects.net/Thread-speed-control-of-three-phase-induction-motor-using-dspic30f4011 |