Parameter Identification of PMSMs Using Experimental Measurements and a PSO Algorithm

Sandre-Hernández, Omar; Morales-Caporal, Roberto; Rangel-Magdaleno, José; Peregrina-Barreto, Hayde; Hernandez-Perez, Julio Noel

doi:10.1109/tim.2015.2390958

Cited by 81 publications

(35 citation statements)

References 26 publications

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“…PSO has been applied in a number of electrical machineryrelated problems, including multiobjective design and optimization of induction motors [38], design optimization of permanent-magnet-type transverse flux linear motor [36], parameter identification of induction motors [33], fault detection in permanent-magnet synchronous machines (PMSMs) [39], control of magnetic-levitation transportation system [40], and parameter identification of PMSMs [41].…”

Section: A Motivationmentioning

confidence: 99%

Induction Motor Efficiency Evaluation Using a New Concept of Stator Resistance

Salomon

Sant’Ana

Silva

et al. 2015

IEEE Trans. Instrum. Meas.

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This paper presents an air-gap torque (AGT)-based method for efficiency estimation of induction motors. A new concept of stator resistance that includes the mechanical losses effect is proposed. This new stator resistance is estimated through a particle swarm optimization approach based on the stator flux equations and minimization of torque error at the rated operation point. Then, the obtained stator resistance is used in the AGT equations to estimate the shaft torque and then the efficiency. Moreover, the rotor speed is estimated using induction motor current signature analysis. Thus, the proposed methodology for induction motor efficiency estimation relies only on line currents, line voltages, and nameplate data, being appropriate for in-service applications. Finally, the simulation and experimental results are presented to validate the proposed method at different load conditions.

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Section: A Motivationmentioning

confidence: 99%

Induction Motor Efficiency Evaluation Using a New Concept of Stator Resistance

Salomon

Sant’Ana

Silva

et al. 2015

IEEE Trans. Instrum. Meas.

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“…The hybrid controller (HC) produced better performance compared to the SMC and the NFC in terms of lower control current chattering, good steady state speed response and very good transient and parameter variation speed response. Moreover, the HC shows robustness for different operating speeds, high accuracy, as well as insensitivity to changes in working conditions of the PMSM drive [12].…”

Section: Sliding Model Controller (Smc) and Neuro-fuzzy Controller (Nfc)mentioning

confidence: 99%

A Review on Controlling Techniques for Permanent Magnet Synchronous Motor (PMSM) and Current State of the Art in the Research Area

Thampi¹,

Kiran²

2019

CAE

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The significance of Permanent Magnet Synchronous Motors (PMSM) is that it offers high performance and efficiency for motor drives. The controlling of the high-performance motor is characterized by smooth operation of the motor over entire speed range, control ability of torque even at zero speed, fast acceleration, and deceleration. The optimization of the speedcontrol performance under different constraints and uncertainties is the biggest concern in PMSM. In that sense, various speedcontrol mechanisms were presented towards identifying the better way to control PMSM drive having high-speed features and desired torque response. However, it is necessary to have a suitable control mechanism where the better adjustment of performance can be achieved for a different operating condition. However, it is quite hard to distinguish the system characteristics and dynamic control parameters during real-time operation due to complexity in PMSM system. This paper intends to present the survey of controlling strategies in PMSM and current research trends in PMSM. Along with the research gap, a futuristic line of research is presented.

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“…In 2014 Mehmet Baskin and Bulent Caglar discussed a modified design of PID controller for permanent magnet synchronous motor drives using particle swarm optimization [10]. In 2015 Omar Sandre-Hernandez, Roberto MoralesCaporal, et all discussed parameter identification of PMSM using experimental measurements and a PSO algorithm [11]. By incorporating PSO technique for tuning the conventionally used PID speed controller, an improvement in the performance of PMSM in terms of transient response i.e.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Permanent Magnet Synchronous Motor Drive using Particle Swarm Optimization Technique

Yadav¹,

Verma²

2017

J. Energ. Technol. Res.

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Permanent magnet synchronous motor (PMSM), a nonlinear speed controller design based on Particle Swarm Optimization (PSO) technique is presented in this paper. For tuning the PID controller, the speed control for PMSM was analyzed using PSO algorithm to optimize the parameters in terms of proportional gain (Kp), integral gain (Ki), and derivative gain (Kd). Moreover, the overall system is evaluated under various operating conditions such as starting, braking, load application and load removal. Besides this, comparison between speed control of PMSM using Ziegler-Nichols (Z-N) method and speed control of PMSM with PSO technique has been carried out. These analyses are estimated in terms of dynamic and static response. The transient response is examined in terms of settling time (ts), rise time (tr), peak time (tp), and peak overshoot (Mp). Overall, PID speed controller with PSO technique shows that the proposed method has improved the performance under the various operating conditions.

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Parameter Identification of PMSMs Using Experimental Measurements and a PSO Algorithm

Cited by 81 publications

References 26 publications

Induction Motor Efficiency Evaluation Using a New Concept of Stator Resistance

Induction Motor Efficiency Evaluation Using a New Concept of Stator Resistance

A Review on Controlling Techniques for Permanent Magnet Synchronous Motor (PMSM) and Current State of the Art in the Research Area

Performance Analysis of Permanent Magnet Synchronous Motor Drive using Particle Swarm Optimization Technique

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