Decentralized Control Design for Heating System in Multi-Zone Buildings Based on Whale Optimization Algorithm DOI Creative Commons

Farazdaq R. Yaseen,

Mina Qays Kadhim,

Huthaifa Al-Khazraji

et al.

Journal Européen des Systèmes Automatisés, Journal Year: 2024, Volume and Issue: 57(4), P. 981 - 989

Published: Aug. 27, 2024

For improving the energy efficacy and control performance, integration of swarm optimization with controller design could successfully reach this objective.In study, a comparative analysis has been conducted between two decentralized structures based on optimized Proportional-Integral-Derivative (PID) PID-Proportional (PID-P) controllers for optimal controlling heating system in multi-zone building.Based balance equation, mathematical dynamics model is established building.In order to enhance optimize performances both controllers, their parameters are tuned Whale Optimization Algorithm (WOA).Two objectives have considered process system.The first objective minimize error temperature, desired real temperatures, IAE (Integral Absolute Error) index, while second minimization heat consumption.The normalization method used adjust differently-scaled objectives.Simulation results MATLAB reveal that PID-P achieved better performance terms providing comfort indoor temperature savings as compared PID controller.

Language: Английский

Backstepping-Based Quasi-Sliding Mode Control and Observation for Electric Vehicle Systems: A Solution to Unmatched Load and Road Perturbations DOI Creative Commons
Akram Hashim Hameed, Shibly Ahmed Al-Samarraie, Amjad J. Humaidi

et al.

World Electric Vehicle Journal, Journal Year: 2024, Volume and Issue: 15(9), P. 419 - 419

Published: Sept. 14, 2024

The direct current (DC) motor is the core part of an electrical vehicle (EV). unmatched perturbation load torque a challenging problem in control EV system driven by DC and hence deep concern required. In this study, proposed solution to present two approaches based on backstepping algorithm for speed trajectory tracking EVs. first design develop controller quasi-sliding mode disturbance observer (BS-QSMDO), other combine with quasi-integral sliding (BS-QISMC). sense Lyapunov-based stability analysis, ultimate boundedness controllers has been detailedly analyzed, assessed, evaluated presence perturbation. A modified analysis presented determine bounds estimation error both controllers. determination bound region-of-attraction errors contribution achieved design. performances have verified via computer simulations level are key measures their evaluation. Compared BS-QISMC, results showed that lower higher convergent rate can be reached BS-QSMO. However, effort exerted BS-QSMO as compared BS-QISMC; price paid achieve faster convergence rate.

Language: Английский

Citations

5
Active Unmatched Disturbance Rejection Quasi-Sliding Observer for Electronic Throttle Valve System Based on Backstepping Control DOI
Akram Hashim Hameed, Shibly Ahmed Al-Samarraie, Amjad J. Humaidi

et al.

SAE International Journal of Engines, Journal Year: 2025, Volume and Issue: 18(2)

Published: Feb. 10, 2025

<div>This study addresses the control problem of electronic throttle valve (ETV) system in presence unmatched perturbations. Most previous works have ignored effect actuating motor inductance, which results an approximated model with a matched perturbation structure. However, if this assumption is not permitted, ETV turns into exact and task becomes more challenging. In article, backstepping design based on quasi-sliding mode disturbance observer (BS-QSMDO) has been proposed to effectively reject system. A rigorous stability analysis conducted prove ultimate boundedness for estimation error tracking error. The key observer-based obtain robust chattering-free controller methodology. estimate be then actively rejected by controller. Moreover, adds boundary layer around sliding manifold confine errors within non-zero at phase, leads considerable reduction chattering effect. comparison BS-QSMDO made another nonlinear (BS-NLDO). numerical showed superiority over BS-NLDO terms bound errors. that could improve position error, effort, uncertainty percentages 26.67%, 1.46% 92.5%, respectively, as compared BS-NLDO.</div>

Language: Английский

Citations

0
An Optimized PID Controller Using Enhanced Bat Algorithm in Drilling Processes DOI Creative Commons

Rash M. Naji,

Hussien Dulaimi,

Huthaifa Al-Khazraji

et al.

Journal Européen des Systèmes Automatisés, Journal Year: 2024, Volume and Issue: 57(03), P. 767 - 772

Published: June 25, 2024

Drilling operation has a direct impact on the quality of production.Insufficiently controlling cutting force during drilling process leads to risk early drill failure.Typically, selection parameters is determined based machining-data handbook where experience and skill operator are required.This paper presents an optimal framework control process.A mathematical model that captures complex dynamics between feed rate system identification used.Then, Proportional-Integral-Derivative (PID) controller proposed force.Taking advantage up-to-date swam-based optimization technique, Enhance Bat Algorithm (EBA) approach used tune design variables PID Integral Absolute Error (IAE) criterion.The results compared with another two swam optimization, Particle Swarm Optimization (PSO) Whale (WOA).The comparison reveals EBA can give better in terms improving time domain specifications reducing error performance indices.

Language: Английский

Citations

3
Improved Trajectory Planning of Mobile Robot Based on Pelican Optimization Algorithm DOI Creative Commons

Rand Zuhair Khaleel,

Hind Zuhair Khaleel,

Ahmed Abdulhussein Abdullah Al-Hareeri

et al.

Journal Européen des Systèmes Automatisés, Journal Year: 2024, Volume and Issue: 57(4), P. 1005 - 1013

Published: Aug. 27, 2024

The problem of trajectory for mobile robots included motion robot from beginning point to end-point without collision with the obstacles.This article proposed two optimization methods, represented by Pelican Optimization Algorithm (POA) and Particle (PSO) have optimal wheeled in presence obstacles.A minimization Mean Square Error (MSE) positions (x,y) orientation (θ) as fitness function techniques.The mathematical representation a has been developed experimental results conducted verify numerical results, which simulated using MATLAB software environment.The showed that both POA PSO could successfully avoid static obstacles.In addition, less error can be obtained compared PSO.The validation is done BOE-Bot robot.This attached WiFi camera used detect obstacle coordinates suggested algorithm.

Language: Английский

Citations

1
Decentralized Control Design for Heating System in Multi-Zone Buildings Based on Whale Optimization Algorithm DOI Creative Commons

Farazdaq R. Yaseen,

Mina Qays Kadhim,

Huthaifa Al-Khazraji

et al.

Journal Européen des Systèmes Automatisés, Journal Year: 2024, Volume and Issue: 57(4), P. 981 - 989

Published: Aug. 27, 2024

For improving the energy efficacy and control performance, integration of swarm optimization with controller design could successfully reach this objective.In study, a comparative analysis has been conducted between two decentralized structures based on optimized Proportional-Integral-Derivative (PID) PID-Proportional (PID-P) controllers for optimal controlling heating system in multi-zone building.Based balance equation, mathematical dynamics model is established building.In order to enhance optimize performances both controllers, their parameters are tuned Whale Optimization Algorithm (WOA).Two objectives have considered process system.The first objective minimize error temperature, desired real temperatures, IAE (Integral Absolute Error) index, while second minimization heat consumption.The normalization method used adjust differently-scaled objectives.Simulation results MATLAB reveal that PID-P achieved better performance terms providing comfort indoor temperature savings as compared PID controller.

Language: Английский

Citations

0