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Comparison of particle swarm and simulated annealing algorithms for induction motor fault identification

S. A. Ethni, B. Zahawi, D. Giaouris, P. P. Acarnley
2009 2009 7th IEEE International Conference on Industrial Informatics  
The performance of two stochastic search methods, particle swarm optimisation (PSO) and simulated annealing (SA), when used for fault identification of induction machine stator and rotor winding faults  ...  The proposed condition monitoring technique uses time domain terminal data in conjunction with the optimization algorithm to indicate the presence of a fault and provide information about its nature and  ...  Fault identification is carried out by adjusting the model parameters, using a stochastic search method to minimize the error.  ... 
doi:10.1109/indin.2009.5195849 fatcat:n4mg3fdtzrbndevfbzipfbmu5y

Efficiency Optimization of Induction Motor Drive Using Soft Computing Techniques

K.Ranjith Kumar, D. Sakthibala, Dr.S. Palaniswami
2010 International Journal of Computer Applications  
In literature, Fuzzy logic and Genetic Algorithms have been used for efficiency optimization of induction motor drives.  ...  This method is based on a simple induction motor field oriented control model includes iron losses uses only conventional IM parameters.  ...  The use of PSO algorithm for identification of optimized fuzzy model from output data has been presented.  ... 
doi:10.5120/703-986 fatcat:qlxw4gjdk5dofdxvapzypu3ovq

Editorial 2: Sliding mode observation and identification

Yuri B. Shtessel, Sarah K. Spurgeon, Leonid M. Fridman
2007 International Journal of Systems Science  
Shtessel presents a sliding mode observer for time varying parameter identification of stochastic systems using the modified Matrix Forgetting Factor method.  ...  Ferrara presents a novel sliding mode observer for current based sensorless speed control of induction motors.  ... 
doi:10.1080/00207720701679106 fatcat:bpacvqxtkjdmjceaxiuh35lbre

A Concise Review of Control Techniques for Reliable and Efficient Control of Induction Motor

Abdullah Alwadie
2018 International Journal of Power Electronics and Drive Systems  
This paper attempt to provide a rigorous review of various control schemes for the induction motor control and provides critical analysis and guidelines for the future research work.  ...  motors are work-horse of the industry and major element in energy conversion.  ...  The optimal torque control of the induction motor using PI controller was achieved by [48] using hybrid GA-PSO optimization techniques.  ... 
doi:10.11591/ijpeds.v9.i3.pp1124-1139 fatcat:icx2fw5fyvcbrcc2uw4xvtxhom

Numerical Estimation and Experimental Verification of Optimal Parameter Identification Based on Modern Optimization of a Three Phase Induction Motor

Rezk, Elghany, Al-Dhaifallah, El Sayed, Ibrahim
2019 Mathematics  
In this paper, a proposed optimal estimation method for the electrical parameters of induction motors is presented. The proposed method uses the particle swarm optimization (PSO) technique.  ...  The estimated electrical parameters of a 3.8-hp induction motor are compared with the measured values.  ...  Conclusions An estimation method of induction motor electrical parameters based on the Particle Swarm Optimization (PSO) algorithm has been presented in this paper.  ... 
doi:10.3390/math7121135 fatcat:ud3lzvkh35d7heylhnxuhpqt2q

Comparing Parameter Identification Strategies for a Saturated Model of an Induction Motor

A. Millan, C. Villanueva, J. Restrepo, J. Aller, V. Guzman, M. Gimenez, J. Viola
2012 2012 VI Andean Region International Conference  
Parameter identification for the dynamic model of an induction motor is evaluated, taking into account the magnetic saturation curve.  ...  The identification scheme is based on a Particle Swarm Optimization algorithm to fit the motor and model startup stator currents curves. Two different strategies are compared.  ...  Model parameters identification scheme using PSO algorithm. h θ k = e T k e k (8) ) , ( θ x f x = & ) , ( k θ x f x = & k y k ŷ k u PSO identification algorithm k e 1 + k θ B.  ... 
doi:10.1109/andescon.2012.37 fatcat:zyezmfhoybf77dyddtfdrk6dzy

Parameter Identification of Induction Motors using Variable-weighted Cost Function of Genetic Algorithms

A.C. Megherbi, H. Megherbi, K. Benmahamed, A.G. Aissaoui, A. Tahour
2010 Journal of Electrical Engineering and Technology  
This paper presents a contribution to parameter identification of a non-linear system using a new strategy to improve the genetic algorithm (GA) method.  ...  This modified version of GA is applied to the induction motor (IM) as an example of nonlinear system.  ...  Essounbouli from Crestic Laboratory, IUT Troyes France for their help in achieving the objective of this study.  ... 
doi:10.5370/jeet.2010.5.4.597 fatcat:tbzitdk45ff3laivexnjgzvrnq

Induction Machine Fault Identification using Particle Swarm Algorithms

S. A. Ethny, P. P Acarnley, B. Zahawi, D. Giaouris
2006 2006 International Conference on Power Electronic, Drives and Energy Systems  
The principles of a new technique using particle swarm algorithms for condition monitoring of the stator and rotor circuits of an induction machine is described in this paper.  ...  Using terminal voltage and current data, the stochastic optimization technique is able to indicate the presence of a fault and provide information about the location and nature of the fault.  ...  Fault identification is carried out by adjusting the model parameters, using a stochastic search method, such as particle swarm algorithms, to minimize the error.  ... 
doi:10.1109/pedes.2006.344310 fatcat:ucpp7tssmnajxnzdvlxlv5f2qq

A Review on Parameters Identification Methods for Asynchronous Motor

Xing Zhan, Guohui Zeng, Jin Liu, Qingzhen Wang, Sheng Ou
2015 International Journal of Advanced Computer Science and Applications  
Finally, the outlook of developing direction for parameters identification of asynchronous motor are put forward to.  ...  The control precision is directly affected by accuracy of parameter identification in asynchronous motor.  ...  The method of parameter optimization is used to determine the adjustment of parameters of the controller.  ... 
doi:10.14569/ijacsa.2015.060115 fatcat:hqrtecch3re5fk5lj5cbdf6oq4

Research on the Weak Signal Extraction Method with Adaptive Stochastic Resonance Based on the Time Grid Sensor for PMSM

Hui Wang, Fei Wang, Hongxia Liu, Yanqiu Xiao, Guoning Shi, Yu-Ling He
2022 Mathematical Problems in Engineering  
As to the problem of the tuning the parameters of the monostable stochastic resonance system, the genetic algorithm is adopted to optimize the parameters of the monostable stochastic resonance system.  ...  time grid sensor is used to detect the rotor position of the permanent magnet synchronous motor (PMSM).  ...  Acknowledgments is study was supported by the Technological Project of Henan Province (grant no. 202102210284).  ... 
doi:10.1155/2022/5013997 fatcat:os7fczijh5ec3avlq55mwbnqfq

Rotor Resistance Estimation of Vector Controlled Induction Motor Drive using GA/PSO t uned Fuzzy Controller

Saji Chacko, Chandrashekhar N Bhende, Shailendra Jain, Rajesh Kumar Nema
2016 International Journal on Electrical Engineering and Informatics  
In this paper, the input/output gain and the membership function parameters of the fuzzy system are optimized using genetic algorithm and particle swarm optimization to obtain an optimal designed fuzzy  ...  Therefore the need arises for a fuzzy controller whose parameters are tuned using evolutionary algorithm.  ...  Rotor Resistance Estimation of Vector Controlled Induction Conclusion A new approach for the rotor resistance identification of induction motor drive using GA/PSO tuned fuzzy controller has been presented  ... 
doi:10.15676/ijeei.2016.8.1.15 fatcat:fbhmisnbe5h3dpmdiwxvfe4b3q

Parameter Identification of PMSM Using Immune Clonal Selection Differential Evolution Algorithm

Guohan Lin, Jing Zhang, Zhaohua Liu
2014 Mathematical Problems in Engineering  
As the estimation of PMSM parameters is very difficult due to thenonlinearmodel complexity, a novel immune clonal differential evolution algorithm (ICDEA) is proposed to identify the electrical parameters  ...  Permanent magnet synchronous motor (PMSM) models with accurate parameters are crucial to high performance PMSM control system designs.  ...  Acknowledgments This work was supported by the National Natural Science Foundation of China (no. 61174140) and Hunan Province Natural Science Foundations of China (no. 11jj4049).  ... 
doi:10.1155/2014/160685 fatcat:qkxwvufvhvazdpqjrxpnr74tjq

Parameter identification of PMSM using EKF with temperature variation tracking in automotive applications

Rachid Kerid, Hicham Bourouina, Réda Yahiaoui
2018 Periodicals of Engineering and Natural Sciences (PEN)  
This paper focuses in particular on the estimation of PMSM parameters using EKF, we present a study assessing the temperature variations impact on the behavior of PMSM motor, and therefore we propose to  ...  the parameters in torque observer in order to find the same performance at any temperature and can be also used for thermal monitoring, which allows for better availability of motor, without causing damage  ...  Acknowledgment This work was supported by the Algerian PNR domiciled in FUNDAPL Laboratory, University of Blida (Algeria)  ... 
doi:10.21533/pen.v6i2.168 fatcat:jiw53fb5nrdb5jcefpzze7ebly

Induction Motor Parameter Identification Using a Gravitational Search Algorithm

Omar Avalos, Erik Cuevas, Jorge Gálvez
2016 Computers  
This paper presents an algorithm for the optimal parameter identification of induction motors.  ...  This paper presents an algorithm for the optimal parameter identification of induction motors. To determine the parameters, the proposed method uses a GSA.  ...  Conflicts of Interest: The authors declare no conflict of interest. Computers 2016, 5, 6  ... 
doi:10.3390/computers5020006 fatcat:4gj2cualnvbahpreg62wwso5nm

Multiparameter Identification of Permanent Magnet Synchronous Motor Based on Model Reference Adaptive System—Simulated Annealing Particle Swarm Optimization Algorithm

Guoyong Su, Pengyu Wang, Yongcun Guo, Gang Cheng, Shuang Wang, Dongyang Zhao
2022 Electronics  
Second, the result is used as the initial population in particle swarm optimization identification to further optimize and identify the electrical and mechanical parameters (moment of inertia J and damping  ...  The algorithm first identifies the electrical parameters of the PMSM (stator winding resistance R, cross-axis inductance L, and magnetic linkage ψf) by means of the model reference adaptive system method  ...  The idea of this algorithm is to first use the model reference adaptive system to output the optimal adjustable variable, and then use the variable as the initial population of SAPSO to derive the optimal  ... 
doi:10.3390/electronics11010159 fatcat:acwoekiupfhntdprl5v3h2agpa
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