Comparison between PID and Artificial Neural Networks  to Control of Boiler for Steam Power Plant

Salim, Hosham; Sultan, Kh.F.; Jawad, Raheel

doi:10.21272/jes.2019.6(1).e2

Cited by 6 publications

(4 citation statements)

References 5 publications

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“…It should be additionally noted that the proposed approach has significant prospects for further development under the conditions of its comprehensive implementation with the systems of computational intelligence, particularly to identify the parameters of the above-mentioned mathematical models and the related regression dependencies with the use of artificial neural networks, as was previously realized within the research works [31][32][33][34]. Moreover, in further research, special attention should be paid to demonstrate benefits of the proposed designs of the air distribution device in terms of the air diffusion performance index, using the approach presented in the research [35].…”

Section: Discussionmentioning

confidence: 99%

Solving the Coupled Aerodynamic and Thermal Problem for Modeling the Air Distribution Devices with Perforated Plates

et al. 2019

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The article is focused on the comprehensive analysis of the aerodynamics of air distribution devices with the combined heat and mass exchange, with the aim to improve the following hydro- and thermodynamic parameters of ventilation systems: flow rate, air velocity, hydraulic losses, and temperature. The inadequacy of the previously obtained characteristics has confirmed the need for more rational designs of air distribution systems. Consequently, the use of perforated plates was proposed to increase hydraulic losses for reducing the average velocity and ensuring a uniform distribution of the velocity field on the outlet of the device. The effectiveness of one of the five possible designs usage is confirmed by the results of numerical simulation. The coefficient of hydraulic losses decreased by 2.5–3.0 times, as well as the uniformity of the outlet velocity field for the air flow being provided. Based on the three-factor factorial experiment, the linear mathematical model was obtained for determining the dependence of the average velocity on the flow rate, plate’s area, and diameter of holes. This model was significantly improved using the multiparameter quasi-linear regression analysis. As a result, the nonlinear mathematical models were obtained, allowing the analytical determination of the hydraulic losses and average velocity of the air flow. Additionally, the dependencies for determining the relative error of measuring the average velocity were obtained.

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Section: Discussionmentioning

confidence: 99%

Solving the Coupled Aerodynamic and Thermal Problem for Modeling the Air Distribution Devices with Perforated Plates

et al. 2019

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“…Salim H. et. al [17] introduced a model in the Matlab program to compare the proportional integrator derivative controller and artificial neural networks to control the boiler of the steam power plant. The results showed that using of ANN gives more control than PID controller.…”

Section: Literature Reviewmentioning

confidence: 99%

Enhancement the Solar Distiller Water by Using Parabolic Dish Collector With Single Slope Solar Still

Al_Qasaab¹,

Abed²,

Al-wahid³

2021

Journal of Thermal Engineering

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Water desalination is the method of saltwater separating into two parts by using various types of energy. This paper offers an experimental work for solar distillation system to the production of drinking water by single slope solar still integrated with a parabolic dish. The result was compared with different solar still designs in the literature. The proposed solar thermal performance of the suggested solar still has been investigated to show its applicability in Iraq, Najaf (32.1No, 44.19Eo) during winter session (Nov., Dec., Jan.) 2018-2019. The assessment based on the effects of operational parameters, including solar irradiance, ambient temperature, wind speed, absorption wall temperature. A copper helical conical coil was used to compare steam condensation generated from the evaporator. The productivity of this study was 11.45 L.day-1, 8.2 L.day-1 freshwater with and without coil condenser respectively, and average direct solar irradiance was 753.6 W.m-2. Comparison different types of solar stills, especially those that have used as concentrators of solar irradiance, with comparable periods of work time, indicate excellent performance. Also, this system can be considered acceptable because it can provide distilled water from the use of materials available in local markets and low cost, enough to cover the daily needs of water for at least two adults.

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“…Non-conventional adaptive control methods do not require the mathematical model describing the dynamics of the systems to be controlled like the artificial neural network (Errachdi and Benrejeb (2018). During the past, major advances have been made in adaptive control theory for identifying and controlling highly nonlinear and non-stationary systems in the presence of unmodeled dynamics and disturbances, such as model adaptive fuzzy control (Cui et al, 2020; Xiangyong et al, 2020), adaptive PID control Muliadi and Kusumoputro (2018); Salim et al (2019), adaptive backstepping control (Basaran et al, 2021; Yu et al, 2021), indirect adaptive control (Al Aela et al, 2022; Rodríguez-Molina et al, 2020), and so on.…”

Section: Introductionmentioning

confidence: 99%

Enhancement neural control scheme performance using PSO adaptive rate: Experimentation on a transesterification reactor

Yassin

Zribi

Atig

et al. 2022

Journal of Vibration and Control

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An arbitrary choice of the neural controller adaptive rate can have a negative effect on the performance of the closed-loop system. In this study, we propose a novel methodology for neural controller adaptive rate using Particle Swarm Optimization algorithm. The developed control scheme is composed of a recurrent neural networks emulator and controller with decoupled adaptive rates. Constraints on the adaptive rate are derived from the Lyapunov stability method. Particle Swarm Optimization is proposed as a mechanism to optimize the adaptive rate of the NC to improve the closed-loop performances. The advantages of the proposed new control algorithm are as follows: (1) online optimal choice of adaptive rate, which reduces the effort for searching an adequate neural controller adaptive rate when considering the conventional methods and (2) ensuring stability, faster convergence, disturbance rejection, and good tracking. The efficiency of the proposed PSO adaptive rate is demonstrated with numerical control of SISO nonlinear system. The obtained results prove the efficiency of the proposed NC compared to those obtained with existing methods. An application of the developed approach on a semi-batch reactor is presented to validate simulations results.

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Comparison between PID and Artificial Neural Networks to Control of Boiler for Steam Power Plant

Cited by 6 publications

References 5 publications

Solving the Coupled Aerodynamic and Thermal Problem for Modeling the Air Distribution Devices with Perforated Plates

Solving the Coupled Aerodynamic and Thermal Problem for Modeling the Air Distribution Devices with Perforated Plates

Enhancement the Solar Distiller Water by Using Parabolic Dish Collector With Single Slope Solar Still

Enhancement neural control scheme performance using PSO adaptive rate: Experimentation on a transesterification reactor

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