Fuzzy and PID Controllers Performance Analysis for a Combined-Cycle Thermal Power Plant

Burgasi, Dennis; Orrala, Tania; Llanos, Jacqueline; Ortiz-Villalba, D.; Arcos-Avilés, Diego; Ponce, Carolina V.

doi:10.1007/978-3-030-72208-1_7

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…where T i is the integration time, and the derivative gain K_d=KT_d where T d is the derivative time (Anitha et al, 2019;Burgasi et al, 2021).…”

Section: Design Of the Pid Control Algorithmmentioning

confidence: 99%

Virtual reality application of an enclosed tank as a teaching module for automatic control

Cando Sangoquiza,

Morales Chicaiza,

Mullo Mullo

et al. 2023

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In the field of engineering, Virtual Reality (VR) has emerged as a training option for students to generate practical skills in automatic process control. The article presents a VR application of a closed tank, which allows the introduction of control strategies for the pressure variable, using a microcontroller and a computer. The VR interface was implemented in Unity with the three-dimensional design of the plant shown to the user on the computer monitor, the mathematical model that characterizes the dynamic behavior of the process and the PID control strategy was established in the Arduino Uno module. Communication between the Arduino and the PC was established via RS-232 protocol. The VR environment consists of a panel for the selection and serial connection with the Arduino, also with inputs that allows to evaluate the control strategy as the SetPoint (SP) and the manual valve (a2), which is the actuator to introduce disturbance to the model. With the SP entered to the control system with perturbations of 20, 60 and 90%, the PID control performed well with minimal steady state errors. The dynamic behavior of the process is visualized in the VR environment with the movement of the control valve stem (a1), the process variable (PV) is displayed on the PIT 100-A transmitter and the trends of the variables (SP, PV and CV). The proposal can be replicated to other processes and different variables such as level, flow, etc.

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“…where T i is the integration time, and the derivative gain K_d=KT_d where T d is the derivative time (Anitha et al, 2019;Burgasi et al, 2021).…”

Section: Design Of the Pid Control Algorithmmentioning

confidence: 99%

Virtual reality application of an enclosed tank as a teaching module for automatic control

Cando Sangoquiza,

Morales Chicaiza,

Mullo Mullo

et al. 2023

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“…where u(t) is the control signal, e(t) is the error, t 0 e(t)dt is the integral of the error, and de(t)/dt is the error derivative. The controller parameters are proportional gain K, integral gain K i = K/T i where T i is integral time, and derivative gain K d = KT d where is derivative time T d [28,29]. Two PID control loops are implemented in the biphasic separator, one for each variable, as indicated in the closed loop diagram in Figure 5.…”

Section: Design Of a Pid Control Algorithm For A Biphasic Separatormentioning

confidence: 99%

Development and Application of a Virtual Reality Biphasic Separator as a Learning System for Industrial Process Control

et al. 2022

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In this study, we propose a virtual reality biphasic separator methodology in an immersive industrial environment. It allows the training of students or engineers in process and automatic control. On the other hand, the operating performance of a biphasic separator requires advanced automatic control strategies because this industrial process has multivariable and nonlinear characteristics. In this context, the virtual biphasic separator allows the testing of several control techniques. The methodology, involving the immersive virtualization of the biphasic separator, includes three stages. First, a multivariable mathematical model of the industrial process is obtained. The second stage corresponds to virtualization, in which the 3D modelling of the industrial process is undertaken. Then, the process dynamic is captured by the plant model implemented, in the software Unity. In the third stage, the control strategies are designed. The interaction between the virtual biphasic separator and the control system is implemented using shared variables. Three control strategies are implemented and compared to validate the applicability: a classic control algorithm, namely, the proportional integral derivative (PID) control method, as well as two advanced controllers—a numerical controller and model predictive control (MPC). The results demonstrate the virtual separator’s usability regarding the operating performance of the virtual biphasic separator, considering the control techniques implemented.

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Advanced Control Algorithms for a Horizontal Three-Phase Separator in a Hardware in the Loop Simulation Environment

Aimacaña-Cueva

Gahui-Auqui

Llanos

et al. 2023

Communications in Computer and Information Science

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Fuzzy and PID Controllers Performance Analysis for a Combined-Cycle Thermal Power Plant

Cited by 5 publications

References 15 publications

Virtual reality application of an enclosed tank as a teaching module for automatic control

Virtual reality application of an enclosed tank as a teaching module for automatic control

Development and Application of a Virtual Reality Biphasic Separator as a Learning System for Industrial Process Control

Advanced Control Algorithms for a Horizontal Three-Phase Separator in a Hardware in the Loop Simulation Environment

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