Fuzzy Sliding Mode Control of a Switched Reluctance Motor

Prasad, Kanti; Unnikrishnan, A.; Nair, Usha

doi:10.1016/j.protcy.2016.08.167

Cited by 18 publications

(7 citation statements)

References 6 publications

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“…In 2006, conventional SMC was combined with fuzzy rules to alleviate the impacts of uncertainty in dynamic systems, and an innovative control method, fuzzy sliding mode control (FSMC), was proposed for Duffing system synchronization 26 . In 2016, Arun et al 27 implemented FSMC for Switched Reluctance Motor speed control, which has superiority over conventional PI controllers; in the next year, FSMC was validated in the nonlinear response suppression of spinning beams 28 . On the basis of FSMC, in 2007, an adaptive FSMC was developed for the control of chaotic responses discovered in Sprott's systems 29 ; additionally, Ma et al 30 proposed an ant colony optimization-FSMC to reduce the speed chattering of pumps and compressors to enhance the cooling effect of the battery thermal management system (BTMS).…”

Section: Control Of Large Amplitude Limit Cycle Of a Multi-dimensiona...mentioning

confidence: 99%

Control of large amplitude limit cycle of a multi-dimensional nonlinear dynamic system of a composite cantilever beam

Sun,

Li,

Liu

2024

Sci Rep

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For the first time, a control strategy based on Fuzzy Sliding Mode Control is implemented in the control of a large amplitude limit cycle of a composite cantilever beam in a multi-dimensional nonlinear form. In the dynamic model establishment of the investigated structure, the higher-order shearing effect is applied, as well as the second-order discretization. Numerical simulation demonstrates that a multi-dimensional nonlinear dynamic system of the investigated structure is demanded for accurate estimation of large amplitude limit cycle responses. Therefore, a control strategy is employed to effectively suppress such responses of the beam in multi-dimensional nonlinear form.

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Section: Control Of Large Amplitude Limit Cycle Of a Multi-dimensiona...mentioning

confidence: 99%

Control of large amplitude limit cycle of a multi-dimensional nonlinear dynamic system of a composite cantilever beam

Sun,

Li,

Liu

2024

Sci Rep

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“…STFPID [24,25] and DSWFPID [21]. In addition, performance comparison is also made with fuzzy sliding mode control (FSMC) [26][27][28]. FSMC has proved its robustness against variation in process dynamics and external disturbances.…”

Section: Performance Analysismentioning

confidence: 99%

“…A set of nine predefined fuzzy rules are framed here to provide the appropriate weighting factor ( fu ) for the fuzzy PID controller based on the current change of error ( Δe ) calculated from the recent process output. Superiority of the proposed fuzzy set point weighting mechanism for the fuzzy PID controller (FSWFPID) is established by comparing its performance with conventional fuzzy PID (FPID) [4] controllers as well as other performance augmentation schemes reported for FPID controllers like self-tuning fuzzy PID (STFPID) [24,25], dynamic set point weighting fuzzy PID (DSWFPID) [21] and fuzzy sliding mode controllers (FSMC) [26][27][28]. Superiority of the proposed FSWFPID is verified for integrating second-order and higher-order linear and nonlinear processes as they provide large oscillations in the presence of dead time.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy rule-based set point weighting for fuzzy PID controller

2021

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The objective of this work is to design a fuzzy rule-based set point weighting mechanism for fuzzy PID (FPID) controller so that an overall improved closed-loop performance may be achieved for linear as well as nonlinear process models. Till date, tuning criteria for FPID controllers are not well defined. Trial-and-error approach is primarily adopted and it is quite time-consuming and does not always ensure improved overall closed-loop behaviour. Hence, to ascertain satisfactory closed-loop performance with an initially tuned fuzzy controller, a fuzzy rule-based set point weighting mechanism is reported here. The proposed scheme is capable of providing performance enhancement with instantaneous weighting factor calculated online for each instant based on the latest process operating conditions. The proposed methodology is capable of ascertaining acceptable performances during set point tracking as well as load recovery phases. Efficacy of the proposed scheme is verified for linear as well as nonlinear process models through simulation study along with real-time verification on servo position control in comparison with the others’ reported performance augmentation schemes as well as fuzzy sliding mode control.

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“…In [163], SRM was developed with a new propulsion system having good overall efficiency in the total speed range, especially in high speed and excellent generating performance. Generally, PI controllers are used for the speed control of SRM, but have drawbacks of high overshoot and settling time; hence, to overcome them, a fuzzy sliding mode controller has been presented in [164]. SRM is highly suitable to provide the maximum torque for a short time [165].…”

Section: Switched Reluctance Motorsmentioning

confidence: 99%

A comprehensive review on hybrid electric vehicles: architectures and components

2019

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The rapid consumption of fossil fuel and increased environmental damage caused by it have given a strong impetus to the growth and development of fuelefficient vehicles. Hybrid electric vehicles (HEVs) have evolved from their inchoate state and are proving to be a promising solution to the serious existential problem posed to the planet earth. Not only do HEVs provide better fuel economy and lower emissions satisfying environmental legislations, but also they dampen the effect of rising fuel prices on consumers. HEVs combine the drive powers of an internal combustion engine and an electrical machine. The main components of HEVs are energy storage system, motor, bidirectional converter and maximum power point trackers (MPPT, in case of solar-powered HEVs). The performance of HEVs greatly depends on these components and its architecture. This paper presents an extensive review on essential components used in HEVs such as their architectures with advantages and disadvantages, choice of bidirectional converter to obtain high efficiency, combining ultracapacitor with battery to extend the battery life, traction motors' role and their suitability for a particular application. Inclusion of photovoltaic cell in HEVs is a fairly new concept and has been discussed in detail. Various MPPT techniques used for solar-driven HEVs are also discussed in this paper with their suitability. Keywords Hybrid electric vehicle Á Hybrid energy storage system Á Architecture Á Traction motors Á Bidirectional converter Abbreviations and symbols ABS Antilock braking system AC Alternating current ADTR Antidirectional-twin-rotary ADVISOR Advanced vehicle simulator ANN Artificial neural network ASCI Auto-sequential commutated mode singlephase inverter BEV Battery electric vehicle BLDC Brushless DC motor CD Charge depletion CDFIM Cascaded DFIM CF-qZSI Current-fed quasi-ZSI CMPPT Centralized MPPT CS Charge sustaining CSI Current source inverter CS-PMSM Compound-structure PMSM CVT Continuous variable transmission DC Direct current DFIM Doubly fed induction motor DMPPT Distributed MPPT DRM Double-rotor machines DTC Direct torque control e-CVT Electronic continuous variable transmission EM Electric motor EMS Energy management system EREV Extended range electric vehicle ESS Energy storage system EV Electric vehicle FC Fuel cell

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Fuzzy Sliding Mode Control of a Switched Reluctance Motor

Cited by 18 publications

References 6 publications

Control of large amplitude limit cycle of a multi-dimensional nonlinear dynamic system of a composite cantilever beam

Control of large amplitude limit cycle of a multi-dimensional nonlinear dynamic system of a composite cantilever beam

Fuzzy rule-based set point weighting for fuzzy PID controller

A comprehensive review on hybrid electric vehicles: architectures and components

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