A novel smart framework for optimal design of green roofs in buildings conforming with energy conservation and thermal comfort

Energy and Buildings, Journal Year: 2023, Volume and Issue: 291, P. 113111 - 113111

Published: April 27, 2023

The rise in greenhouse gas emissions cities and the excessive consumption of fossil energy resources has made development green spaces, such as roofs, an increasingly important focus urban areas. This study proposes a novel smart energy-comfort system for roofs housing estates that utilises integrated machine learning (ML), DesignBuilder (DB) software Taguchi design computations optimising roof operation buildings. optimisation process maximises conservation thermal comfort buildings effective parameters including Leaf Area Index (P1), leaf reflectivity (P2), emissivity (P3), stomatal resistance (P4). optimal solutions can result 12.8% increase hours 14% reduction compared to base case. ML analysis revealed adaptive network-based fuzzy inference is most appropriate method predicting Energy-Comfort functions based on parameters, with correlation coefficient greater than 97%. framework offers innovative approach achieving

Language: Английский

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Particle Swarm Optimization (PSO) Tuning of PID Control on DC Motor

International Journal of Robotics and Control Systems, Journal Year: 2022, Volume and Issue: 2(2), P. 435 - 447

Published: July 6, 2022

The use of DC motors is now common because its advantages and has become an important necessity in helping human activities. Generally, motor control designed with PID control. main problem that often discussed parameter tuning, namely determining the value Kp, Ki, Kd parameters order to obtain optimal system performance. In this study, one method for tuning on a will be used, Particle Swarm Optimization (PSO) method. Parameter optimization using PSO stable results compared other methods. controller MATLAB Simulink obtained where Kp = 8.9099, K 2.1469, 0.31952 rise time 0.0740, settling 0.1361 overshoot 0. Then hardware testing by entering Arduino IDE software produce speed response 1.4551, Ki= 1.3079, 0.80271 4.3296, 7.3333 1.

Language: Английский

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Improved Whale Optimization Algorithm for Transient Response, Robustness, and Stability Enhancement of an Automatic Voltage Regulator System

Energies, Journal Year: 2022, Volume and Issue: 15(14), P. 5037 - 5037

Published: July 10, 2022

The proportional integral derivative (PID) controller is one of the most robust and simplest configuration controllers used for industrial applications. However, its performance purely depends on tuning (KP), (KI) (KD) gains. Therefore, a proper combination these gains primarily required to achieve an optimal PID controllers. conventional methods such as Cohen-Coon (CC) Ziegler–Nichols (ZN) generate unwanted overshoots long-lasting oscillations in system. Owing mentioned problems, this paper attempts optimized by exploiting intelligence whale optimization algorithm (WOA) recently introduced modified versions called improved (IWOA) automatic voltage regulator (AVR) stability IWOA-AVR system was studied assessing root-locus, bode maps, pole/zero plots. superiority presented design over eight explored AI-based approaches validated through comprehensive comparative analysis based important transient response metrics. Finally, assess robustness AVR system, conducted analyzing during variation time constants generator, exciter, amplifier from −50% 50% range. results study prove proposed IWOA-based terms

Language: Английский

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A Comprehensive Review of Bio-Inspired Optimization Algorithms Including Applications in Microelectronics and Nanophotonics

Biomimetics, Journal Year: 2023, Volume and Issue: 8(3), P. 278 - 278

Published: June 28, 2023

The application of artificial intelligence in everyday life is becoming all-pervasive and unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired algorithms for multiparameter optimization, which find their use large number areas. Novel methods advances are being published at an accelerated pace. Because that, spite the fact there lot surveys reviews they quickly become dated. Thus, it importance keep pace with current developments. In this review, we first consider possible classification bio-inspired optimization because papers dedicated area relatively scarce often contradictory. We proceed by describing some detail more prominent approaches, as well those most recently published. Finally, biomimetic two related wide fields, namely microelectronics (including circuit design optimization) nanophotonics inverse structures such photonic crystals, nanoplasmonic configurations metamaterials). attempted broad survey self-contained so can be not only scholars but also all interested latest developments attractive area.

Language: Английский

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Sensing System Assisted Novel PID Controller for Efficient Speed Control of DC Motors in Electric Vehicles

IEEE Sensors Letters, Journal Year: 2023, Volume and Issue: 7(1), P. 1 - 4

Published: Jan. 1, 2023

PID controllers are widely used in different systems including electric vehicles (EVs) for their simplicity and practical application. However, there errors between the controlled signal desired signal. This system controls EV speed using a sensor feedback-supported novel controller based on dandelion optimization (DO-PID). letter aims to reduce error reference output signals. The results obtained from proposed compared with classical control, firefly-PID controller, teaching learning-based optimization-PID particle swarm controller. Simulation show that outperforms existing controllers. Various types of found all controllers, it is seen DO-PID less than other It integral square error, absolute time controlling as 0.04161, 0.1115, 0.04022, 0.02068, respectively. Finally, analysis has been done check disturbance rejection capability

Language: Английский

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A two-stage eco-cooling control strategy for electric vehicle thermal management system considering multi-source information fusion

Energy, Journal Year: 2023, Volume and Issue: 267, P. 126606 - 126606

Published: Jan. 3, 2023

Language: Английский

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Design and Application of PLC-based Speed Control for DC Motor Using PID with Identification System and MATLAB Tuner

International Journal of Robotics and Control Systems, Journal Year: 2023, Volume and Issue: 3(2), P. 233 - 244

Published: April 7, 2023

Industries use numerous drives and actuators, including DC motors. Due to the wide-ranged adjustable speed, motor is widely used in many industries. However, prone external disturbance parameter changes, causing its speed be unstable. Thus, a requires an appropriate controller design obtain fast stable with small steady-state error. In this study, was designed based on PID control method, gains tuned by trial-and-error MATLAB Tuner identification system. The proposed implemented using PLC OMRON CP1E NA20DRA hardware implementation. Each tuning method repeated five times so that system performances could compared improved. Based implementation results, trial-error gave acceptable results but had errors. On other hand, of provided responses no error still oscillations high overshoot during transition. Therefore, acquired from must finely get better responses.

Language: Английский

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A role of integrated microheaters in a microfluidics based point-of-care-testing and beyond for healthcare applications

Applied Materials Today, Journal Year: 2024, Volume and Issue: 38, P. 102225 - 102225

Published: May 10, 2024

Language: Английский

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CNN-MLP-Based Configurable Robotic Arm for Smart Agriculture

Agriculture, Journal Year: 2024, Volume and Issue: 14(9), P. 1624 - 1624

Published: Sept. 17, 2024

Amidst escalating global populations and dwindling arable lands, enhancing agricultural productivity sustainability is imperative. Addressing the inefficiencies of traditional agriculture, which struggles to meet demands large-scale production, this paper introduces a highly configurable smart robotic arm system (CARA), engineered using convolutional neural networks multilayer perceptron. CARA integrates arm, an image acquisition module, deep processing center, embodying convergence advanced robotics artificial intelligence facilitate precise efficient tasks including harvesting, pesticide application, crop inspection. Rigorous experimental validations confirm that significantly enhances operational efficiency, adapts seamlessly diverse contexts, bolsters precision farming practices. This study not only underscores vital role intelligent automation in modern agriculture but also sets precedent for future innovations.

Language: Английский

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Performance and robustness analysis of V-Tiger PID controller for automatic voltage regulator

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 3, 2024

Abstract This paper presents a comprehensive study on the implementation and analysis of PID controllers in an automated voltage regulator (AVR) system. A novel tuning technique, Virtual Time response-based iterative gain evaluation re-design (V-Tiger), is introduced to iteratively adjust gains for optimal control performance. The begins with development mathematical model AVR system initialization using Pessen Integral Rule. time-response then conducted evaluate performance, followed by adjustments Particle Swarm Optimization (PSO) within V-Tiger framework. MATLAB simulations are employed implement various controllers, including controller, their performance compared terms transient response, stability, signal generation. Robustness assess system's stability under uncertainties, worst-case performed quantify robustness. response proposed controller other heuristic such as Flower Pollination Algorithm, Teaching–Learning-based Optimization, Rule, Zeigler-Nichols methods. By measuring peak closed-loop adding uncertainty AVR's field exciter amplifier, robustness determined. Plotting degradation curves yields robust margins accompanying maximum that can withstand without compromising its or Based curves, margin estimated at 3.5. also curves. Future research directions include exploring optimization techniques further enhancing industrial applications.

Language: Английский

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