On the Use of Fractional-Order Controllers for Performance Improvements in AC Drives

Mehmood, C. A.; Kavasseri, Rajesh G.

doi:10.1080/15325008.2014.986777

Cited by 7 publications

(5 citation statements)

References 12 publications

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“…The stability analysis is performed for range of v from ¡5 to 5 with step of 0.01. The ranges for parameters of the FOPD controller, namely K d and K p , were calculated by using Equations (14) and (15). The m parameter varies from 0.01 to 1, and, in accordance with the condition mentioned above, m 1.…”

Section: Stability and Performance Analysismentioning

confidence: 99%

“…Experimental results are carried out in a hardware-in-the-loop system in dynamometer control system. The authors of [15] propose the use of FO controllers to reduce the sensitivity of the closed-loop system to parameter variations, with the performance compared by means of Matlab simulations with a system with a well-tuned proportional-integral (PI) controller for an AC motor system.…”

Section: Introductionmentioning

confidence: 99%

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Stability region of a simplified multirotor motor–rotor model with time delay and fractional-order PD controller

2017

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The main aim of this paper is to present stability region analysis for a closed-loop system with the second-order model with a time delay and continuous-time fractional-order proportionalderivative (PD) controller. The model of the plant used in the paper approximates the dynamics of a simplified motor-rotor model of multirotor's propulsion system. The controller tuning method is based on Hermite-Biehler and Pontryagin theorems. The tracking performance is also analysed in the paper by observing the integral of absolute error and integral of squared error indices. The presented results are expected to be useful in future when comparing simulation with experimental results.

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Section: Stability and Performance Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stability region of a simplified multirotor motor–rotor model with time delay and fractional-order PD controller

2017

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“…The authors showed MPPT of PMSG-based wind turbines using feedback linearization technique [21]. The EFL for induction motor control is presented in [22]. We provide the comparison of the two PMSG models for the analysis of the stability and nonlinear control (EFL).…”

Section: Related Workmentioning

confidence: 99%

Exact feedback linearization-based permanent magnet synchronous generator control

Ali

Jawad

Guo

et al. 2016

Int. Trans. Electr. Energ. Syst.

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SUMMARYThis paper presents the technical aspects, theoretical analysis, and comparisons of two new permanent magnet synchronous generator (PMSG) grid-interfaced models named PMSG boost and PMSG rectifierinverter. The exact feedback linearization (EFL) control scheme is used for the effective design and stability analysis of the aforementioned models. The complexity of the EFL control laws is discussed in the light of the nonlinear coordinate transformations and linearization (local and global) of the PMSG models. We also discussed the effectiveness of the EFL control over the output Direct Current (DC) link voltage of the PMSG during the electrical grid faults and the mechanical perturbations. Moreover, we compared the aforementioned models and concluded that the stability of the PMSG rectifier-inverter is higher compared with the PMSG boost during the variation of wind speed values from minimum to maximum. Furthermore, the robustness of the EFL control scheme for the PMSG rectifier-inverter is compared with the conventional proportional and integral controller and state-feedback controller. The EFL controller reports a faster output response, better accuracy, and quicker settling time of the output DC link voltage as compared with the proportional integral controller.

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“…In the literature [32], a fractional-order sliding mode control method was proposed to solve the shortcomings of the traditional control method, such as weak immunity and significant jitter. The literature [33] improved a fractional-order controller to improve speed tracking and immunity performance. This paper explores how to ensure the system's rapid response and excellent robustness in the case of sudden speed change, external disturbance, fractional influence, etc.…”

Section: Introductionmentioning

confidence: 99%

Research on PMSM Speed Performance Based on Fractional Order Adaptive Fuzzy Backstepping Control

Zhang,

Ma,

et al. 2023

Energies

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A permanent magnet synchronous motor (PMSM) is a nonlinear, strongly coupled, controlled object with time-varying, fractional-order characteristics. It is difficult to achieve the ideal control effect by using the traditional control method when motor parameter changes and load perturbations occur during the operation of the PMSM, so a fractional-order adaptive fuzzy backstepping control method is proposed to improve the system’s fast response and anti-jamming ability in the case of sudden changes in rotational speed, load perturbations and other conditions. Initially, the fractional order theory is introduced, backstepping control is utilized to decompose the system into multiple subsystems, and a fractional order-based Lyapunov function is designed for each subsystem to ensure the system’s stability. Suitable control laws, as well as parameter adaptive laws, are derived through rigorous mathematical derivation. Finally, a fractional order adaptive fuzzy backstepping controller (FOAB-FPID) is designed by combining the advantages of fuzzy control. Then a mechanical simulation model of the PMSM is established to verify the validity of the designed controller, followed by three sets of comparative experiments: PID, fuzzy PID (F-PID), and integer-order adaptive fuzzy backstepping (IOAB-FPID), which are selected to simulate the PMSM under the control of the four controllers. Finally, it is validated on the constructed PMSM experimental platform. Simulation and experimental results show that FOAB-FPID can adaptively adjust system parameters during sudden speed changes, achieve real-time speed tracking, and maintain speed stability under load perturbations and internal parameter uptake. Compared with the three control strategies, reached PMSM system has better acceleration, fast response performance, and better anti-disturbance ability, which proves the rationality and effectiveness of the FOAB-FPID control method.

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On the Use of Fractional-Order Controllers for Performance Improvements in AC Drives

Cited by 7 publications

References 12 publications

Stability region of a simplified multirotor motor–rotor model with time delay and fractional-order PD controller

Stability region of a simplified multirotor motor–rotor model with time delay and fractional-order PD controller

Exact feedback linearization-based permanent magnet synchronous generator control

Research on PMSM Speed Performance Based on Fractional Order Adaptive Fuzzy Backstepping Control

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