DSP Based Implementation of Hybrid Speed Controller for Vector Controlled Permanent Magnet Synchronous Motor Drive

Singh, Bhim; Dwivedi, Sanjeet

doi:10.1109/isie.2006.295920

Cited by 15 publications

(6 citation statements)

References 14 publications

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“…There are no field current dynamics. With these assumptions, the stator d, q equations of the PMSM in the rotor reference frame are [13],…”

Section: Mathematical Model Of Pmsm Drivementioning

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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“…There are no field current dynamics. With these assumptions, the stator d, q equations of the PMSM in the rotor reference frame are [13],…”

Section: Mathematical Model Of Pmsm Drivementioning

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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show abstract

“…In order to achieve maximum torque per ampere and maximum efficiency with linear characteristics, direct axis current component i d is forced to zero (Bhim Singh et al, 2006) and the reluctance torque is zero.…”

Section: Modeling Of Pmsm Drivementioning

confidence: 99%

“…It has been proven by many simulations and experimental verifications by numerous publications with diversity of industrial drive applications such as high performance drives using vector controlled induction motor (Mohamed and Hew, 2000;Kumar and Joshi, 2005), PMSM (Aissaoui et al, 2007;Karakaya and Karakas, 2008;Patil, et al, 2010;Jung et al, 2010) and a brushless DC motor (Bharathi et al, 2008). The vector controlled PMSM drives provide better dynamic response and lesser torque ripples (Bhim Singh et al, 2006). The outer speed loop in vector control greatly affects the system performance.…”

Section: Introductionmentioning

confidence: 99%

High performance hybrid fuzzy PID controller for permanent magnet synchronous motor drive with minimum rule base

Baskaran²

2013

Journal of Vibration and Control

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This paper investigates the performance of an improved fuzzy logic controller (FLC) with a reduced rule base vector controlled permanent magnet synchronous motor (PMSM) drive. The FLC is developed with minimum rules to provide high performance operations due to less computational burden. Hybrid control has the advantage of integrating a superiority of two control techniques for better control performance. To enhance the performance of the PMSM drive system, a new control method, hybrid fuzzy logic controller, using minimum rule base is proposed. The proposed hybrid fuzzy logic controller based on accelerated fuzzy proportional plus integral and fuzzy proportional-integralderivative is suitable for constant speed applications of a PMSM drive.

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“…In order to achieve maximum torque per ampere and maximum efficiency with linear characteristics, the direct axis current component i d forced to zero (Singh et al, 2006) and the reluctance torque is zero.…”

Section: Mathematical Model Of Permanent Magnet Synchronous Motormentioning

confidence: 99%

Speed and torque control of permanent magnet synchronous motor using hybrid fuzzy proportional plus integral controller

Baskaran²

2013

Journal of Vibration and Control

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This paper presents an improved fuzzy logic controller (FLC) for a permanent magnet synchronous motor (PMSM) for high performance industrial drive applications. The performance of the PMSM using proportional plus integral (PI) controllers and general fuzzy controllers are poor under load disturbances and transient conditions. The FLC is developed to have a smaller computational burden which makes it suitable for real time implementation, particularly at constant speed operating conditions. Hybrid control has the advantage of integrating a superiority of two or more control techniques for better control performances. A fuzzy controller offers better speed responses for startup and large speed errors. If the nature of the load torque is varied, the steady state speed error of the PMSM drive with an FLC becomes significant. To enhance the performance of the system, a new control method, hybrid fuzzy PI control and accelerated fuzzy PI control is proposed. The effectiveness of the proposed method is verified by a simulation based on MATLAB. The proposed hybrid fuzzy controller has good adaptability over load toque variation and can maintain constant speed.

show abstract

DSP Based Implementation of Hybrid Speed Controller for Vector Controlled Permanent Magnet Synchronous Motor Drive

Cited by 15 publications

References 14 publications

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

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

High performance hybrid fuzzy PID controller for permanent magnet synchronous motor drive with minimum rule base

Speed and torque control of permanent magnet synchronous motor using hybrid fuzzy proportional plus integral controller

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