Implementation of a Fuzzy PI Controller for Speed Control of Induction Motors Using FPGA

Arulmozhiyal, R.; Baskaran, K.

doi:10.6113/jpe.2010.10.1.065

Cited by 73 publications

(31 citation statements)

References 6 publications

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“…Finally the outcome responses are generated with help of table formation by deriving the related associates of every allocated object based values within the mentioned series to the numerical value by signifying the applicability of specified degree values. Here the FLCCLC are represented with the graphs with help of lattices and concern nodes along with their various diverse interconnectivity ranges [23]. The crisp based data implementation way is differ in FLC based DL and FLC implicated FCA.…”

Section: Methodsology Implicationsmentioning

confidence: 99%

Blended intelligence of FCA with FLC for knowledge representation from clustered data in medical analysis

Neelima

Sarma

2019

IJECE

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<span lang="EN-IN">Formal concept analysis is the process of data analysis mechanism with emergent attractiveness across various fields such as data mining, robotics, medical, big data and so on. FCA is helpful to generate the new learning ontology based techniques. In medical field, some growing kids are facing the problem of representing their knowledge from their gathered prior data which is in the form of unordered and insufficient clustered data which is not supporting them to take the right decision on right time for solving the uncertainty based questionnaires. In the approach of decision theory, many mathematical replicas such as probability-allocation, crisp set, and fuzzy based set theory were designed to deals with knowledge representation based difficulties along with their characteristic. This paper is proposing new ideological blended approach of FCA with FLC and described with major objectives: primarily the FCA analyzes the data based on relationships between the set of objects of prior-attributes and the set of attributes based prior-data, which the data is framed with data-units implicated composition which are formal statements of idea of human thinking with conversion of significant intelligible explanation. Suitable rules are generated to explore the relationship among the attributes and used the formal concept analysis from these suitable rules to explore better knowledge and most important factors affecting the decision making. Secondly how the FLC derive the fuzzification, rule-construction and defuzzification methods implicated for representing the accurate knowledge for uncertainty based questionnaires. Here the FCA is projected to expand the FCA based conception with help of the objective based item set notions considered as the target which is implicated with the expanded cardinalities along with its weights which is associated through the fuzzy based inference decision rules. This approach is more helpful for medical experts for knowing the range of patient’s memory deficiency also for people whose are facing knowledge explorer deficiency.</span>

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Section: Methodsology Implicationsmentioning

confidence: 99%

Blended intelligence of FCA with FLC for knowledge representation from clustered data in medical analysis

Neelima

Sarma

2019

IJECE

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“…To obtain more accurate parameters estimation for PMSM, many different methods have been used in literature, such as neural network, genetic algorithm, Luenberger obsever and EKF which are effective and efficient alternatives for tracking parameter variation , it may be also used for real-time estimation of parameters and state of PMSM [4]- [6].…”

Section: Introductionmentioning

confidence: 99%

Parameter identification of PMSM using EKF with temperature variation tracking in automotive applications

Kerid¹,

Bourouina²,

Yahiaoui³

2018

PEN

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Permanent magnet synchronous machine is widely used for electric vehicles traction because of its high power density and its efficiency on a large flux weakening range. This paper focuses in particular on the estimation of PMSM parameters using EKF, we present a study assessing the temperature variations impact on the behavior of PMSM motor, and therefore we propose to estimate the temperature-dependent parameters. The main contribution in this work is an effective method for estimating parameters or their temperature variation, makes it possible to study and to avoid performance degradation by tracking and adapting the parameters in torque observer in order to find the same performance at any temperature and can be also used for thermal monitoring, which allows for better availability of motor, without causing damage, however, the knowledge of degradation mechanisms also gives insight for the design of this machine. Nowadays, there are essentially maps of reference currents according to the torque and speed that are used by car manufacturers and no account is then given of the parameter variations. The effectiveness of the proposed estimation method verified by both simulation and experiment.

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“…In this section, a comparison with A R. Arulmozhiyaly and K. Baskaran [17] using different speeds and load torques is performed. Figure 6 shows the speed using the proposed sliding mode controller at speed 1000 rpm and no load.…”

Section: Comparative Analysismentioning

confidence: 99%

A Sliding Mode Controller for a Three Phase Induction Motor

El-Gendy¹,

Ibrahim²,

Saraya³

et al. 2013

IJCA

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In this paper, a sliding mode controller (SMC) is designed to control the speed of an induction motor fed by three phase voltage source inverter based on space vector pulse width modulation (SVPWM) technique. The sliding mode controller is a nonlinear controller. The space vector pulse width modulation technique is advanced pulse width modulation (PWM) technique. The proposed scheme enables us to adjust the speed of the motor by controlling the frequency and amplitude of the stator voltage; the ratio of the stator voltage to the frequency should be kept constant. Simulation results show the validation of the proposed scheme.

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Implementation of a Fuzzy PI Controller for Speed Control of Induction Motors Using FPGA

Cited by 73 publications

References 6 publications

Blended intelligence of FCA with FLC for knowledge representation from clustered data in medical analysis

Blended intelligence of FCA with FLC for knowledge representation from clustered data in medical analysis

Parameter identification of PMSM using EKF with temperature variation tracking in automotive applications

A Sliding Mode Controller for a Three Phase Induction Motor

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