A comparative study on fuzzy and PI speed controllers for field-oriented induction motor drive

Sahu, Binod Kumar; Mohanty, Kanungo Barada; Pati, Swagat

doi:10.1109/iecr.2010.5720134

Cited by 14 publications

(11 citation statements)

References 14 publications

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“…Many researchers have studied sensorless control approaches as an alternative for mechanical sensors to reduce cost. Field-oriented control (FOC) is rapidly becoming popular in motor drives [1,2]. However, most of the current sensorless FOC techniques are limited to the individual motor driving or braking technology [1,[3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Sensorless Driving/Braking Control for Electric Vehicles

Chen

Cheng

et al. 2020

Actuators

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A sensorless driving/braking control system for electric vehicles is explained in the present paper. In the proposed system, a field-oriented control (FOC) was used to integrate driving and braking controls in a unified module for reducing the cost of hardware and simultaneously incorporating functional flexibility. An antilock braking system can swiftly halt a vehicle during emergency braking. An electromagnetic reverse braking scheme that provided retarding torque to a running wheel was developed. The scheme could switch the state of the MOSFETs used in the system by alternating the duty cycle of pulse width modulation to adjust the braking current generated by the back electromotive force (EMF) of the motor. In addition, because the braking energy required for the electromagnetic braking scheme is related only to the back EMF, the vehicle operator can control the braking force and safely stop an electric vehicle at high speeds. The proposed integrated sensorless driving and electromagnetic braking system was verified experimentally.

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Section: Introductionmentioning

confidence: 99%

Sensorless Driving/Braking Control for Electric Vehicles

Chen

Cheng

et al. 2020

Actuators

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“…For this reason, various field-oriented control (FOC) methods have been proposed to simplify the design of IM speed controllers [4,5]. As a torque-flux decoupling technique, the FOC makes control an IM like a separately excited DC motor [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…Since, the IM is a complex nonlinear system, the timevarying parameters entail an additional difficulty during the controller design [2,3]. For this reason, various field-oriented control (FOC) methods have been proposed to simplify the design of IM speed controllers [4,5].…”

Section: Introductionmentioning

confidence: 99%

Imperialist Competitive Algorithm (ICA)-optimized PI speed control in the Indirect Field-Oriented Control of an IM drive

Razavi

Ghadiri

2011

2011 IEEE Colloquium on Humanities, Science and Engineering

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In this paper, Imperialist Competitive Algorithm (ICA) and Genetic Algorithm (GA) is applied to optimize the proportional and integral gains of PI speed controller in the Indirect Field Oriented Control (IFOC) of an Induction Motor (IM) drive. The control performance of the ICA-optimized PI speed controller and the GA-optimized PI speed controller is evaluated by analysis for various operating conditions. Simulation results show that optimizing the PI speed controller of IM through ICA is the best performance compared to GAoptimized PI speed controller of IM.

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“…In most of studies, the performance of the designed FLC is compared with PI controller in terms of the speed control performance. The superior performance of the FLC has been noticed from the results presented by many researchers [2]- [4], [6], [9]. In most of the studies authors have used the fix and distinctive parameters for the FLC designing.…”

Section: Introductionmentioning

confidence: 99%

Efficacy of Different Rule Based Fuzzy Logic Controllers for Induction Motor Drive

Kumar¹,

Chauhan²,

Shrivastava³

2012

IJMLC

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Performance of an electric drive is paramount for crucial motion applications and greatly influenced by the controller capabilities. Vector control technique is normally applied with the induction motor drive for high performance applications. For such applications fuzzy logic controller (FLC) has been widely used instead of conventional PID controller. However, size of rule-base of FLC is directly influencing the real time computational burden, which subsequently restricts its application with the processors of limited speed & memory. The number of rule base and performance of drive are inversely related with each other as it is evident that all the rules don't participate equally in the response and can be reduced for simplicity which utilizing less computational resources. In this paper the performance of vector controlled induction motor drive is presented for three different FLC rule bases namely 49, 25 and 9 rules. The drive performance has been investigated for these cases for speed control, disturbance rejection control ability. Moreover, sensitivity of the drive is evaluated for stator resistance control. The performance of drive system using larger FLC rule base is found superior as compared to the performance with lesser rules at the cost of large computational resources and speed.

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A comparative study on fuzzy and PI speed controllers for field-oriented induction motor drive

Cited by 14 publications

References 14 publications

Sensorless Driving/Braking Control for Electric Vehicles

Sensorless Driving/Braking Control for Electric Vehicles

Imperialist Competitive Algorithm (ICA)-optimized PI speed control in the Indirect Field-Oriented Control of an IM drive

Efficacy of Different Rule Based Fuzzy Logic Controllers for Induction Motor Drive

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