Performance Comparison of a Sensorless PMBLDC Motor Drive System with Conventional and Fuzzy Logic Controllers

Joy, Jino; Ushakumari, S.

doi:10.1016/j.protcy.2016.08.156

Cited by 11 publications

(5 citation statements)

References 3 publications

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“…The flux error is observed from the difference between reference and actual flux values. Here, the optimal flux error value for every iteration, ∆𝛹is calculated with modified parameters 𝑘 𝑝 ′′′ and 𝑘 𝑖 ′′′ using JAYA optimized controller from (12).…”

Section: Flux Controllermentioning

confidence: 99%

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Design of optimal PI controller for torque ripple minimization of SVPWM-DTC of BLDC motor

Kumar

Satheesh

Sujatha

2023

IJPEDS

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Conventional direct torque control (CDTC) for brushless DC motor (BLDCM) using proportional integral (PI) controller suffers from torque ripple minimization and speed regulation issues. A novel method in fusion with space vector pulse width modulation (SVPWM) with DTC using optimal PI controller is developed to minimize these issues. In this method, SVPWM replaces switching table and hysteresis controllers in CDTC. To get better performance in steady state, conventional PI controllers are preferred in SVPWM-DTC for BLDCM. However, uncertainty arises due to PI controller tuning as well as load variations. In such a case, optimal PI controller tuned properly can minimize these uncertainties. Here, JAYA algorithm is used to tune controller gain parameters. Simulations of proposed PI controller of SVPWM-DTC for BLDCM are carried away in Simulink. To appreciate the performance of proposed optimal controller of SVPWM-DTC for BLDCM, the simulation results are compared with Conventional PI controller and particle swarm optimization (PSO) technique based tuned PI controller. This proposed technique reduces the toque ripple by 63.1% when compared to conventional PI and 58.5% when compared to PSO-PI controller. It also improves the settling time by 43.9% when compared to conventional PI and 46.79% when compared to PSO-PI controller.

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Section: Flux Controllermentioning

confidence: 99%

“…But its performance is uncertain under load and speed variations. Hence, fuzzy logic and neural network (NN) strategy techniques have been introduced as control strategies to tune conventional PI [12]. When training NNs, the required data is supplied offline from a standard PI controller, leading to inaccurate dynamic response.…”

Section: Introductionmentioning

confidence: 99%

Design of optimal PI controller for torque ripple minimization of SVPWM-DTC of BLDC motor

Kumar

Satheesh

Sujatha

2023

IJPEDS

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“…The mathematical model of three-phase BLDC motor with several assumptions has been outlined in [10], but it is revisited here for a concise notation. General voltage equation for the underlying system can be written in a state-space as expressed in (1).…”

Section: IImentioning

confidence: 99%

“…Simulation and experimental results show that the anti-windup PI controller has better anti disturbance ability, less overshoot, and less settling time. Other controller variants such as hybrid fuzzy-PID, PSO-PID and BF-PID can be found in references [6]- [10], respectively.…”

Section: Introductionmentioning

confidence: 99%

Rotational Speed Control of Brushless Dc Motor Using Genetic Algorithm Optimized PD Controller

Ardiansyah¹,

Yazid²

2018

indones.j.electron.telecommun.

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Controlling the rotational speed of brushless DC (BLDC) motor is an essential task to improve the transient and the steady state performances under loaded condition. Rotational speed control of BLDC motor using genetic algorithm optimized proportional-derivative (PD) controller to form what the so-called the genetic algorithm-PD (GA-PD) controller is proposed in this paper. Control system is realized in a microcontroller namely a 16MHz Atmega2560 with an absolute encoder as a position sensor. The effectiveness of the GA-PD controller is tested under constant and varying step functions with the Ziegler-Nichols-PD (ZN-PD) controller as a benchmark. Experimental results show that the GA-PD controller has slower speed than the ZN-PD controller, but the latter has overshoot and small oscillations during its steady state condition as a consequent of having a fast rise time.

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“…Unlike conventional DC motors, BLDC motors require electronic commutator switching in the form of a converter for proper operation [5]. In operation, the BLDC motor requires information about the position of the rotor for the correct change in each phase of the inverter [6]. This information can be obtained with a hall effect sensor attached to the BLDC motor to monitor the position of the rotor.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Controller and Its Application in Brushless DC Motor (BLDC) in Electric Vehicle - A Review

Apribowo

Ahmad

Maghfiroh

2021

JEEICT

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<p class="Abstract">Brushless DC motor (BLDC) is one type of electric motor that is widely used, especially in automotive systems. This motor is widely used as a driving force in electric vehicles. BLDC motor is chosen because it has the characteristics of high efficiency, reliability, and a wide speed range. Besides, BLDC motors require less maintenance and can operate quieter than DC motors. Even though it has many advantages, in its application the use of BLDC motors in electric vehicles is often less than optimal. The use of a conventional control system proportional integral derivative (PID) still has many weaknesses, especially in response to changes in load and track conditions. In this study, a control system was designed to regulate the speed of the BLDC motor, using a combination of Fuzzy and PID methods. Based on the results of the tests that have been done, the Fuzzy-PID control can provide better and more stable performance than using the conventional PI control.</p>

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Performance Comparison of a Sensorless PMBLDC Motor Drive System with Conventional and Fuzzy Logic Controllers

Cited by 11 publications

References 3 publications

Design of optimal PI controller for torque ripple minimization of SVPWM-DTC of BLDC motor

Design of optimal PI controller for torque ripple minimization of SVPWM-DTC of BLDC motor

Rotational Speed Control of Brushless Dc Motor Using Genetic Algorithm Optimized PD Controller

Fuzzy Logic Controller and Its Application in Brushless DC Motor (BLDC) in Electric Vehicle - A Review

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