Parameters estimation of squirrel-cage induction motors using ANN and ANFIS

Jirdehi, Mehdi Ahmadi; Rezaei, Abbas

doi:10.1016/j.aej.2016.01.026

Cited by 47 publications

(35 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This is however out of the scope of this article. Finally, the component values for the dynamical models of the induction motors under consideration are listed in [18].…”

Section: Objective-oriented Convex Mappingsmentioning

confidence: 99%

“…An example to demonstrate the validity of the incorporated mapping is given in Fig. 5, displaying the curves for a machine with a rated power of 19 kW [18]. The reference steady state data are obtained based on 1312 short-term simulations of the computationally expensive models provided in Appendix A over a period of 0.1 s with a discrete simulation step of 50 μs.…”

Section: B Convexification Of the Power Flowsmentioning

confidence: 99%

See 1 more Smart Citation

Convex Mapping Formulations Enabling Optimal Power Split and Design of the Electric Drivetrain in All-Electric Vehicles

Keyser

Vandeputte

Crevecoeur

2017

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

All-electric drivetrains have been identified as a promising alternative to contemporary hybrid vehicle technology. Extending their operational range is key and can be achieved by means of design procedures based on high-fidelity models capturing the dynamical behavior of the electric drivetrain. This paper proposes a dedicated power split embodying a dual electric drive and a model-based strategy to design the drivetrain. Advancements are required in model-based design that can cope with the complexity of the computationally expensive and high-dimensional parametric design problems. We propose a nested optimization approach wherein parameter exploration is attained using an evolutionary algorithm and the optimal power flows are determined by abstracting the high-fidelity behavioral models into appropriate convex loss mappings. This allows for an accelerated design procedure based on convex optimization without compromising accuracy. We size an electric drivetrain for maximal range extension, consisting of a battery stack, buck-boost converter, inverter and mechanically coupled induction motors subjected to variable load conditions. A tractable convex formulation is obtained and optimization time is reduced by 99.3% compared to the traditional approach without convexification. Optimal control of the incorporated power split increases the operational range by 0.7% compared to the isolated operation of a single motor. The proposed methodology thus paves the way for extensive designs of drivetrains and complex mechatronic systems in a general context.

show abstract

“…This is however out of the scope of this article. Finally, the component values for the dynamical models of the induction motors under consideration are listed in [18].…”

Section: Objective-oriented Convex Mappingsmentioning

confidence: 99%

Section: B Convexification Of the Power Flowsmentioning

confidence: 99%

Convex Mapping Formulations Enabling Optimal Power Split and Design of the Electric Drivetrain in All-Electric Vehicles

Keyser

Vandeputte

Crevecoeur

2017

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

show abstract

“…The results obtained from the suggested ANN and ANFIS models were compared to experimental data and to each other. According to these results, it is stated that ANFIS model gives more accurate results than ANN model ( Jirdehi and Rezaei, 2014).…”

Section: Introductionmentioning

confidence: 96%

Determination of Equivalent Circuit Parameters of Induction Motors by Using Heuristic Algorithms

Selek¹,

Terzioğlu²

2017

Scitech

View full text Add to dashboard Cite

Induction motors (IMs) are commonly used in industry due to the fact that they are simple, economic, durable, maintenance-free and they can run in every environmental conditions. Non-linear model and time varying parameters of IMs make it quite difficult to develop their mathematical models. In high performance applications, it is necessary to determine these parameters that affect driving technique. In this study, when induction motor (IM) was started with continuous and discrete signals, the effects on the motor equivalent circuit parameters of these operating states were investigated. Differential Evolution Algorithm (DEA) and Particle Swarm Optimization (PSO) were used to investigate and determine the changes in parameters and performance. Equivalent circuit parameters were determined on two IMs with 2.2kW and 5.5kW. In this study, it was seen that Differential Evolution Algorithm (DEA) and Particle Swarm Optimization (PSO) determined electrical equivalent circuit parameters of IM with minimum 0,07% error and minimum 0,28% error, respectively.

show abstract

“…3,8,9 Heuristic approaches such as the Genetic Algorithm (GA), particle swarm optimization (PSO), artificial neural network (ANN), adaptive neuro fuzzy interface system (ANFIS), sparse grid optimization algorithm, etc, have also been developed for evaluating especially electrical parameters recently. [10][11][12][13][14] The study of Pichai Aree 15 gives analytical procedure for estimating the speed torque characteristics of induction machine using manufacturer data. In other work, 16 a new approach is proposed in which moment of inertia and viscous-damping coefficient is calculated with the help of stability criterion using bode plot by considering the effects of frequency variation on machine active power.…”

Section: Introductionmentioning

confidence: 99%

Analytical approach to estimate mechanical parameters in induction machine using transient response parameters

Saxena

Kumar

2018

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary Induction machine is the most popular machine in power system because of its wide range of operations in motor as well as in generator too, and therefore, its accurate parameters estimation and modeling is always required. Induction machine parameters can be classified into two categories: (1) electrical parameters and (2) mechanical parameters. DC test, no load, and block rotor tests are the popular experimental methods to evaluate electrical parameters. To find mechanical parameters such as moment of inertia and damping coefficient, retardation test is performed. In simulation‐based studies, an analytical approach is required for estimating both electrical and mechanical parameters for induction machine directly by using manufacturer data as mentioned by the machine suppliers. Analytical methods for getting electrical parameters have been presented by several authors while procedure for estimating mechanical parameters is almost untouched. This paper presents an analytical approach especially for estimating mechanical parameters of induction machine using transient response parameters along with electrical parameters' estimation followed by initial reference model. Results are obtained for machines of rating 1.1, 3.0, 11, 37.5, and 50 kW. The performances are also validated with the recent published papers that estimate the parameters using experimental procedures.

show abstract

Parameters estimation of squirrel-cage induction motors using ANN and ANFIS

Cited by 47 publications

References 18 publications

Convex Mapping Formulations Enabling Optimal Power Split and Design of the Electric Drivetrain in All-Electric Vehicles

Convex Mapping Formulations Enabling Optimal Power Split and Design of the Electric Drivetrain in All-Electric Vehicles

Determination of Equivalent Circuit Parameters of Induction Motors by Using Heuristic Algorithms

Analytical approach to estimate mechanical parameters in induction machine using transient response parameters

Contact Info

Product

Resources

About