Resiliency-constrained placement and sizing of virtual power plants in the distribution network considering extreme weather events

Electrical Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: July 26, 2024

Language: Английский

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Multi-objective optimization of PI controller for BLDC motor speed control and energy saving in Electric Vehicles: A constrained swarm-based approach

Energy Reports, Journal Year: 2024, Volume and Issue: 12, P. 402 - 417

Published: June 20, 2024

Language: Английский

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The Efficiency of an Optimized PID Controller Based on Ant Colony Algorithm (ACO-PID) for the Position Control of a Multi-articulated System

Journal of Robotics and Control (JRC), Journal Year: 2023, Volume and Issue: 4(3), P. 289 - 298

Published: April 29, 2023

In this article, a robot manipulator is controlled by the PID controller in closed loop system with unit feedback. The difficulty of using parameter tuning, because tuning parameters still use trial and error method to find constants, namely Proportional Gain (Kp), Integral (Ki) Derivative (Kd). case Ant colony Optimization algorithm (ACO) used best gain PID. combinatorial optimization, which utilizes pattern ants search for shortest path from nest place where food located, concept applied minimizing objective function such that has improved performance characteristics. This work uses Matlab Simulink environment, First, after obtaining model, ant determine proper coefficients 𝐾p, 𝐾i, Kd order minimize trajectory errors two joints manipulator. Then, will implement system. According results computer simulations, proposed (ACO-PID) gives good compared classical

Language: Английский

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Controlling parameters proportional integral derivative of DC motor using a gradient-based optimizer

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering, Journal Year: 2024, Volume and Issue: 15(2), P. 696 - 696

Published: April 4, 2024

In this paper, a gradient-based optimizer (GBO) algorithm is presented to optimize the parameters of proportional integral derivative (PID) controller in DC motor control. The GBO which mathematically models and mimics inspired by Newton method. It was developed address various optimization issues. To determine performance proposed method, comparison method with ant colony (ACO) compared using time multiplied absolute error (ITAE). They are most popularly used literature. From test results, promising has better effectiveness. namely GBO-PID, shows best performance.

Language: Английский

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Artificial Neural Network (ANN) based Proportional Integral Derivative (PID) for Arm Rehabilitation Device

Kufa Journal of Engineering, Journal Year: 2025, Volume and Issue: 16(1), P. 80 - 103

Published: Feb. 4, 2025

The current work was developed under the title of Artificial Neural Network (ANN) Proportional Integral Derivative (PID) for arm rehabilitation device and included building designing simulation model results device. A set tests were proposed to include firstly testing a system that represents state open secondly It closed device, third closed-loop with PID control fourth using ANN, finally can be used comparison between PIDC ANN. To conduct all test cases, program MATLAB, which help simulate an attempt regain movement in arm, is called rehabilitation. noted target group some people who suffer from stroke. By representing model, its effectiveness verified. possible aimed at improving performance by working on developing adopting appropriate design characteristics match required operational behavior conditions suit different situations. cases demonstrated through possibility identifying cases. difference these also identified. In addition recovery rehabilitate injured system’s presence expert neural network controller, it better than traditional controller.

Language: Английский

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Adaptive Cruise Control of the Autonomous Vehicle Based on Sliding Mode Controller Using Arduino and Ultrasonic Sensor

Journal of Robotics and Control (JRC), Journal Year: 2024, Volume and Issue: 5(1), P. 301 - 311

Published: Feb. 6, 2024

This article will focus on adaptive cruise control in autonomous automobiles. The inputs are the safety distance which determines thanks to conditions set depending value, measured distance, longitudinal speed of automobile itself, output is desired acceleration. objective follow vehicles front with safety, according by ultrasonic sensor, and maintain a between greater than we have determined. For this, used super twisting sliding mode controller (STSMC) non-singular terminal (NTSMC) based neural network applied system. able approximate exponential reaching law term parameter NTSMC compensate for uncertainties perturbations. An system prototype was produced tested using an sensor measure two automobiles, Arduino board as microcontroller implement our program, four DCs motors actuators move or stop host vehicle. processed code Simulink Matlab, efficiency robustness these controllers excellent, demonstrated low velocity error value. can be enhanced improving STSMC controllers, chosen their robustness.

Language: Английский

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Zero/low overshoot conditions based on maximally‐flatness for PID‐type controller design for uncertain systems with time‐delay or zeros

IET Control Theory and Applications, Journal Year: 2024, Volume and Issue: 18(8), P. 1070 - 1084

Published: April 8, 2024

Abstract This paper extends the characteristic ratio approach using novel inequalities to ensure zero/low overshoot for linear‐time‐invariant systems with zeros. The extension provided by this is based on maximally‐flatness property of a transfer function, where square‐magnitude function ensured be low‐pass filter. In order able design low‐order/fixed structure controllers, partial pole‐assignment used instead full in Characteristic Ratio Assignment (CRA) method. developed and additional stability conditions are combined into an optimization problem time domain restrictions when necessary. Although method given general, particular PI PI‐PD controller cases, due their frequent use industrial applications. Similarly, First‐Order‐Plus‐Delay‐Time (FOPDT) Second‐Order‐Plus‐Delay‐Time (SOPDT) considered specifically, since most practical can approximated one these types. study extended plants uncertainties theorem decrease computation dramatically. benefits proposed methods demonstrated several examples.

Language: Английский

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Sizing of storage‐based renewable off‐grid system according to supply of electrical and thermal energies considering unscented transformation‐based stochastic optimization: A case study

Optimal Control Applications and Methods, Journal Year: 2024, Volume and Issue: 45(6), P. 2613 - 2635

Published: July 15, 2024

Abstract The paper presents the planning (sizing) of a hybrid islanded system containing only renewable sources including wind turbines, photovoltaics, and bio‐waste energy units for simultaneous supply electrical thermal energy. mentioned are used to unit (BEU) is equipped with combined technology. It along heat pumps Electrical storage employed make power output as close possible demand level. Electric can be either stationary (e.g., battery) or mobile electric vehicles), but type storage. In following, proposed scheme minimizes construction maintenance costs imposed by sources, devices, electronic converters, expected degradation cost. This plan bound model operation converters. this model, renewables main source consumers, where adopted increase generation level it curve. uncertain parameters load, phenomena, parameters. To these uncertainties, stochastic optimization based on unscented transformation used. Finally, findings demonstrate that suggested succeeds in economic BEU electricity pump load besides providing reduce cost 2.9% compared case Also, presence number which alone results 7.7% decrease system.

Language: Английский

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Expansion Planning of Hybrid Electrical and Thermal Systems Using Reconfiguration and Adaptive Bat Algorithm

Heliyon, Journal Year: 2024, Volume and Issue: 10(16), P. e36054 - e36054

Published: Aug. 1, 2024

_ This study introduces a comprehensive model for the concurrent expansion planning of various energy systems and their associated equipment. The need to reduce network costs, emissions, losses, feeder loading, as well enhance reliability voltage profile, mandates utilization proper multi-objective models that respect all constraints. introduced framework includes units generating both electrical thermal energies. leverages conventional alternatives such installation new lines, reconfiguration, rewiring, addition network. Expansion involves determining optimal time, location, type installations meet future demands while minimizing costs emissions. Reconfiguration refers altering topology improve losses. proposed is formulated discrete, nonlinear, non-convex optimization problem, which solved using Self Adaptive Learning Bat Algorithm (SALBA). algorithm improves convergence speed increases diversity search population, enhancing likelihood finding global optimum. Numerical simulations methodology on two modified standard IEEE test corroborate efficacy feasibility suggested approach. Key innovations include modeling planning, use an advanced algorithm, focus reducing loading profile.

Language: Английский

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A simulation based water quality parameter control of aquaponic system employing model predictive control strategy incorporation with optimization technique

Environmental Progress & Sustainable Energy, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 28, 2024

Abstract Aquaponics is an integration of aquaculture and hydroponics systems, utilizing recirculating water to connect these two processes. Maintaining optimal quality parameters critical for the life fish plants crucial production in aquaponics. However, this difficult due complex dynamics each system recirculations. Atmospheric temperature significantly impacts plant growth by affecting parameters. To address this, a mathematical model key parameters, such as dissolved oxygen (DO), introduced, along with predictive controller (MPC) that designed maintain at levels. The ideal operating points DO are identified optimizing aquaponics dynamics. MPC's performance compared traditional proportional‐integral (PI) controller, indices: relative absolute deviation (RAD) mean (MRD). MPC demonstrates reduction RAD values both FT NFT 40%–60%, MRD 8%–43%. These results show effectively mitigates disturbances addresses mismatches, outperforming PI controller. Implementing proposed strategies aquaponic systems enhances overall performance, boosts food rates, maximizes profit, reduces labour.

Language: Английский

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