Test Scheduling of Core Based System-on-Chip Using Modified Ant Colony Optimization

Chandrasekaran, Gokul; Vanchinathan, K.; Chinraj, Gnanavel

doi:10.18280/jesa.520607

Cited by 28 publications

(17 citation statements)

References 14 publications

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“…The d-axis component of the stator current plays the role of excitation and allows the value of the flux in the machine to be adjusted. The q-axis element plays the role of the armature current and controls the torque [32].…”

Section: Control Of the Modeling Systemmentioning

confidence: 99%

Torque Control Oriented Modeling of a Brushless Direct Current Motor (BLDCM) Based on the Extended Park's Transformation

Majdoubi¹,

Masmoudi²,

Bakhti³

et al. 2021

JESA

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The wheeled mobile robots have recently become a better choice for repetitive tasks and especially in the agricultural field, but the existing constraint remains in its electrical motor, either in its consumption or its control. Therefore, we will focus on the Brushless Direct Current Motor (BLDCM) included on the robot wheels. Hence, the objective of this paper is to provide a model of BLDCM to have both maximum torque and a reduced torque ripple. Indeed, it is important to give a mathematical model that correctly represents the motor in three phases reference frame. To reduce the complexity of the model, we have used the extended park reference frame, which provides a biphasic representation in order to control the current using Proportional Integral Controller (PI Controller). The angular velocity of the motor is controlled using two types of regulators; ones called PI Controller and the other is Fuzzy Logic Controller (FLC) to compare its performance. The motor is attached to an inverter, which is controlled using a Full-Wave offset method. The modeling machine is done and validated using MATLAB Simulink Library. The simulation results of the modeling system are evaluated to have the profile of the wheel speed rotating freely, and the energetic efficiency of the BLDCM during functioning.

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Section: Control Of the Modeling Systemmentioning

confidence: 99%

Torque Control Oriented Modeling of a Brushless Direct Current Motor (BLDCM) Based on the Extended Park's Transformation

Majdoubi¹,

Masmoudi²,

Bakhti³

et al. 2021

JESA

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“…The overall ripple losses for each and every capacitor are named as Ci1, Ci1', Ci2 & Ci2' for a full cycle is determined by following Eq. (13). Then entire capacitor ripple losses for one full cycle are given as following:…”

Section: Capacitor Ripple Lossesmentioning

confidence: 99%

“…On the way to defeat these problem supplementary circuits and composite controlling strategy has presented. The resonant switched capacitor converter is developed in this paper [13], which minimizes the capacitor voltage unbalance issues, drawbacks in amplify system as bulky, pricey and difficulty lacking the remaining advantage of self-voltage boost ability.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Asymmetric Direct Current (DC) Source Configured Switched Capacitor Multi-level Inverter

Ezhilvannan¹,

Krishnan²

2020

JESA

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This paper is dealing about Switched Capacitor Multi-Level Inverter (SCMLI) circuit which is controlled by triangular multicarrier Sinewave Pulse Width Modulation (SPWM) technique. The proposed SCMLI is powered from asymmetric DC source configuration to obtain multi-level output voltage by applying switching pulse to the main circuit from control circuit for switching operation. Fourteen switches and four capacitors are employing to do the proposed inversion operation in an effective way. Switching capacitors can perform boost operation to enhance voltage from the source level to the required level. Input DC from the asymmetric sources is converted to AC voltage for the application of consumers. This proposed conversion system is applicable for mainly in industrial and renewable energy-based energy conversion system because it can carry high output voltages. This proposed method gives about more efficiency. Also reduces switching losses in lower value, low conduction losses and capacitor ripple losses. The simulation model is analyzed in MATLAB/SIMULINK platform and the same validated in hardware results. The developed SCMLI structure is witness over other topologies for the power inversion process in the multi-level.

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“…6 (b) denotes the zinc electrode (cathode), in which lower adhesion of the biolayer is observed. This may be due to the fact that the cathode receives and does not generate electrons (Tamakloe et al, 2015), and the thickness variations may be due to the reduction of the material but not due to oxidation (Meignanalakshmi and Kumar, 2016) or failures in the manufacture of the electrical circuit (Gokul et al, 2019). The pure microorganism cultures obtained on day 28 yielded gram-positive bacilli identified as Brevibaciullus laterosporus by the VITEK-2 system, as well as Candida boidini, as identified by the API 20C AUX system.…”

Section: Figurementioning

confidence: 99%

“…MFCs use organic substances as substrates (fuel) by converting chemical energy into electrical energy supported by catalytic reactions involving microorganisms (Rahimnejad et al, 2015). These values of electricity generated by the MFCs can be used in integrated circuits for future simulations with algorithms (Gokul et al, 2020;Gokul et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Using Lime (Citrus × aurantiifolia), Orange (Citrus × sinensis), and Tangerine (Citrus reticulata) Waste as a Substrate for Generating Bioelectricity

Rojas-Flores

Cruz-Noriega²,

Chirinos³

et al. 2020

EREM

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This paper focuses on using lime, orange, and tangerine waste as fuel for the generation of bioelectricity. The tangerine microbial fuel cell evidenced a maximum voltage peak of 1.1 V on day 13, while displaying abrupt voltage losses on the following days and throughout the remaining period of substrate monitoring. On the other hand, orange-based fuel denotes lower current generation during these 28 days with values close to 1.6 mA and 0.25 mA on the first and last day, respectively. Still, orange generated 3.5 mA on the first day with values sharply declining in the following days until reaching 0.91 mA on the last day. In general, substrate volumes in the microbial fuel cells diminished over time, which is consistent with the voltage and current values reported. In addition, pH values increased from day 1 for all substrates, reaching acidic pH values on the last day of measurement due to the consumption of carbon sources. Tangerine reported the highest current density (CD) at 72 mW/cm2 and a maximum voltage of 1.06 volts, while orange generated a CD of 62.5 mW/cm2 and 0.94 volts.

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Test Scheduling of Core Based System-on-Chip Using Modified Ant Colony Optimization

Cited by 28 publications

References 14 publications

Torque Control Oriented Modeling of a Brushless Direct Current Motor (BLDCM) Based on the Extended Park's Transformation

Torque Control Oriented Modeling of a Brushless Direct Current Motor (BLDCM) Based on the Extended Park's Transformation

An Efficient Asymmetric Direct Current (DC) Source Configured Switched Capacitor Multi-level Inverter

Using Lime (Citrus × aurantiifolia), Orange (Citrus × sinensis), and Tangerine (Citrus reticulata) Waste as a Substrate for Generating Bioelectricity

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