Parameter Estimation of a Permanent Magnet Synchronous Motor using Whale Optimization Algorithm

2018 ◽  
Author(s):  
Abhishek Srivastava ◽  
Dushmanta Kumar Das ◽  
Ankur Rai ◽  
Rakshit Raj
Keyword(s):  
Parameter Estimation ◽  
Permanent Magnet ◽  
Optimization Algorithm ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Whale Optimization Algorithm ◽  
Whale Optimization

A parameter estimation method for fractional-order nonlinear systems based on improved whale optimization algorithm

2019 ◽  
Vol 33 (07) ◽  
pp. 1950075 ◽  
Author(s):  
Gong Ren ◽  
Renhuan Yang ◽  
Renyu Yang ◽  
Pei Zhang ◽  
Xiuzeng Yang ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Nonlinear Systems ◽  
Fractional Order ◽  
Optimization Algorithm ◽  
Fitness Function ◽  
Whale Optimization Algorithm ◽  
Engineering System ◽  
Grasshopper Optimization Algorithm ◽  
Whale Optimization ◽  
System Characteristics

Compared to the integer-order systems, the system characteristics of the fractional system are closer to the system characteristics of the real engineering system, the study found beyond that, strictly speaking, various physical phenomena in nature are nonlinear. The problem of parameter estimation problem of fractional-order nonlinear systems can be transformed into the problem of parameter optimization problem by constructing an appropriate fitness function. This paper proposes a hybrid improvement algorithm based on whale optimization algorithm (WOA) to solve this problem and verify it both in Lorenz system and Lu system. The simulation result shows that the hybrid improved algorithm is superior to genetic algorithm (GA), particle swarm optimization (PSO), grasshopper optimization algorithm (GOA) and WOA in convergence speed and accuracy.

scholarly journals Parameter Estimation of Permanent Magnet Synchronous Motor Using Orthogonal Projection and Recursive Least Squares Combinatorial Algorithm

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Iman Yousefi ◽  
Mahmood Ghanbari
Keyword(s):  
Parameter Estimation ◽  
Linear Regression ◽  
Least Squares ◽  
Permanent Magnet ◽  
Orthogonal Projection ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Recursive Least Squares ◽  
Projection Algorithm ◽  
Combinatorial Algorithm

This paper presents parameter estimation of Permanent Magnet Synchronous Motor (PMSM) using a combinatorial algorithm. Nonlinear fourth-order space state model of PMSM is selected. This model is rewritten to the linear regression form without linearization. Noise is imposed to the system in order to provide a real condition, and then combinatorial Orthogonal Projection Algorithm and Recursive Least Squares (OPA&RLS) method is applied in the linear regression form to the system. Results of this method are compared to the Orthogonal Projection Algorithm (OPA) and Recursive Least Squares (RLS) methods to validate the feasibility of the proposed method. Simulation results validate the efficacy of the proposed algorithm.

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