Heat exchanger's shell and tube modeling for intelligent control design

Hanafi, Dirman; Than, Mohd Nor Mohd; Emhemed, Abdulrahman A.A.; Mulyana, Tatang; Zaid, Amran Mohd; Johari, Anwar

doi:10.1109/iccsn.2011.6014844

Cited by 8 publications

(3 citation statements)

References 9 publications

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“…En [33], en lugar del punto de inflexión se emplea el valor del 63% de la salida. Otro método de identificación que aproxima la dinámica a un primer orden se muestra en [34] (método de Smith).…”

Section: ) Métodos No Paramétricosunclassified

Control de temperatura en intercambiadores de calor tipo coraza-tubo: una revisión realizada a la industria

2020

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Esta revisión sobre lazos de temperatura en intercambiadores de calor tipo coraza-tubo, parte de un estudio realizado a la industria de la región del Valle del Cauca donde se identifican en la ingeniería de control de los intercambiadores de calor las siguientes deficiencias: desconocimiento del modelo, inexperiencia en la selección de las estrategias de control, pobre sintonía de los algoritmos de control y desconocimiento de criterios de evaluación de desempeño. La literatura consultada muestra una gran cantidad de métodos de identificaciones de modelos y estrategias de controles y sintonías aplicados a intercambiadores, sin embargo, en su mayoría son implementados a nivel de simulación, despreciando las no linealidades e interacciones del intercambiador en el proceso industrial. La revisión presenta diferentes métodos y conceptos usados para la obtención de modelos, estrategias de control, sintonía y evaluación de lazos de control que se encuentran en la literatura desde el 2010.

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Section: ) Métodos No Paramétricosunclassified

Control de temperatura en intercambiadores de calor tipo coraza-tubo: una revisión realizada a la industria

2020

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“…The process gain is described based on the steady state effect of the input change to the change of the output. The time constant exact value is calculated at 63.28% of the output response [6], [10], [20]. The dead time can be directly read from the output response.…”

Section: Non-parametric Identification Techniques Of the Ipamentioning

confidence: 99%

Non-Parametric Identification Techniques for Intelligent Pneumatic Actuator

2015

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The aim of this paper is to present experimental, empirical and analytic identification techniques, known as non-parametric techniques. Poor dynamics and high nonlinearities are parts of the difficulties in the control of pneumatic actuator functions, which make the identification technique very challenging. Firstly, the step response experimental data is collected to obtain real-time force model of the intelligent pneumatic actuator (IPA). The IPA plant and Personal Computer (PC) communicate through Data Acquisition (DAQ) card over MATLAB software. The second method is approximating the process by curve reaction of a first-order plus delay process, and the third method uses the equivalent n order process with PTn model parameters. The obtained results have been compared with the previous study, achieved based on force system identification of IPA obtained by the (Auto-Regressive model with eXogenous) ARX model. The models developed using non-parameters identification techniques have good responses and their responses are close to the model identified using the ARX system identification model. The controller approved the success of the identification technique with good performance. This means the Non-Parametric techniques are strongly recommended, suitable, and feasible to use to analyze and design the force controller of IPA system. The techniques are thus very suitable to identify the real IPA plant and achieve widespread industrial acceptance.

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“…Where, the solution is described in a linguistic term or every spoken language, i.e., fast, slow, high, low, etc. [19,20]. In more complex cases, they include some hedge terms, i.e., very high, not so low, etc.…”

Section: Fuzzy Logic Controllermentioning

confidence: 99%

Wall Follower Autonomous Robot Development Applying Fuzzy Incremental Controller

Hanafi¹,

Abueejela²,

Zakaria³

2013

ICA

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This paper presents the design of an autonomous robot as a basic development of an intelligent wheeled mobile robot for air duct or corridor cleaning. The robot navigation is based on wall following algorithm. The robot is controlled using fuzzy incremental controller (FIC) and embedded in PIC18F4550 microcontroller. FIC guides the robot to move along a wall in a desired direction by maintaining a constant distance to the wall. Two ultrasonic sensors are installed in the left side of the robot to sense the wall distance. The signals from these sensors are fed to FIC that then used to determine the speed control of two DC motors. The robot movement is obtained through differentiating the speed of these two motors. The experimental results show that FIC is successfully controlling the robot to follow the wall as a guidance line and has good performance compare with PID controller.

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Heat exchanger's shell and tube modeling for intelligent control design

Cited by 8 publications

References 9 publications

Control de temperatura en intercambiadores de calor tipo coraza-tubo: una revisión realizada a la industria

Control de temperatura en intercambiadores de calor tipo coraza-tubo: una revisión realizada a la industria

Non-Parametric Identification Techniques for Intelligent Pneumatic Actuator

Wall Follower Autonomous Robot Development Applying Fuzzy Incremental Controller

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