Simplified Discrete Binary PSO tuned Multivariable PID Controller for Binary Distillation Column plant

2013 ◽  
Author(s):  
A. Angelah Queen ◽  
D. Jeraldin Auxillia
Keyword(s):  
Pid Controller ◽  
Distillation Column ◽  
Binary Pso ◽  
Column Plant

Multivariable PID Controller for Unidentified Plant

1982 ◽  
Vol 104 (3) ◽  
pp. 270-274 ◽  
Author(s):  
S. Thompson
Keyword(s):  
Mathematical Model ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Pid Controller ◽  
Nuclear Power ◽  
Distillation Column ◽  
Open Loop ◽  
Pid Controllers ◽  
Simulation Studies ◽  
Plant Simulation

A procedure is presented for designing multivariable controllers for unidentified plant. It is assumed that the open-loop plant is stable and its response to step inputs are basically nonoscillatory. For such plant, no mathematical model is required in order to generate multivariable I, PI, or PID controllers. Method of tuning the controllers are also presented and demonstrated, first on a low order linear distillation column model, and finally on a high order, nonlinear, once-through boiler model typical of the type used in nuclear power plant simulation studies.

scholarly journals Firefly algorithm based multivariable PID controller design for MIMO process

2018 ◽  
Vol 7 (2.31) ◽  
pp. 41
Author(s):  
J Ramyashree ◽  
M R. Roja ◽  
G Sivagurunathan ◽  
R Kotteeswaran
Keyword(s):  
Objective Function ◽  
Pid Controller ◽  
Firefly Algorithm ◽  
Distillation Column ◽  
Chemical Engineering ◽  
Controller Design ◽  
Liquid Mixture ◽  
Matlab Simulink ◽  
Decision Variables ◽  
Pid Controller Design

Distillation is the process of separating the components or substances from a liquid mixture by selective boiling and condensation. It is one of the most underestimated fields of chemical engineering and has been around for well over hundred years. This paper deals with the tuning of centralized and decentralized Multivariable PID controller for Wood and Berry distillation column using Firefly algorithm (FA). FA uses controller parameters as decision variables and minimization of IAE as objective function. At the end of the search, optimum solutions for controller parameters are obtained which upon implementation provides challenging results for both top and bottom products. Simulation has been carried out using Matlab/Simulink platform.

Classical and Neural Network–Based Approach of Model Predictive Control for Binary Continuous Distillation Column

2014 ◽  
Vol 9 (1) ◽  
pp. 71-87 ◽  
Author(s):  
Amit Kumar Singh ◽  
Barjeev Tyagi ◽  
Vishal Kumar
Keyword(s):  
Neural Network ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Pid Controller ◽  
Distillation Column ◽  
Chemical Engineering ◽  
Research Work ◽  
Settling Time ◽  
Training Data ◽  
Main Process

Abstract The objective of present research work is to develop a neural network–based model predictive control scheme (NN-MPC) for distillation column. To fulfill this objective, an existing laboratory setup of continuous binary-type distillation column (BDC) is used. An equation-based model that uses the fundamental physical and chemical laws along with valid normal assumptions is validated for this experimental setup. Model predictive control (MPC) is one of the main process control techniques explored in the recent past for various chemical engineering applications; therefore, the conventional MPC scheme and the proposed NN-MPC scheme are applied on the equation-based model to control the methanol composition. In NN-MPC scheme, a three-layer feedforward neural network model has been developed and is used to predict the methanol composition over a prediction horizon using the MPC algorithm for searching the optimal control moves. The training data is acquired by the simulation of the equation-based model under the variation of manipulated variables in the defined range. Two cases have been considered, one is for set point tracking and another is for feed flow disturbance rejection. The performance of the control schemes is compared on the basis of performance parameters namely overshoot and settling time. NN-MPC and MPC schemes are also compared with conventional PID controller. The results show the improvement in settling time with NN-MPC scheme as compared to MPC and conventional PID controller for both the cases.

scholarly journals Experimental Validation of Amigo Based PID for a Binary Distillation Column

2019 ◽  
Vol 9 (1S3) ◽  
pp. 130-134
Keyword(s):  
Energy Consumption ◽  
Pid Controller ◽  
Distillation Column ◽  
Controller Design ◽  
Energy Utilization ◽  
Column Temperature ◽  
Control Scheme ◽  
Pid Controller Design ◽  
Energy Consuming ◽  
Fast Acting

Distillation is highly energy consuming process in industrial application concern. This paper focuses on energy consumption of an actuator through appropriate control design for a binary distillation column. Temperature control of binary distillation column is challenging because of existence of interaction between the variables. Independent variables of the process are fast acting (Reflux flow) and slow acting (Reboiler) with respect to process variables (Tray temperatures). Energy consumption of manipulated variable depends on efficient tuning of controller. AMIGO based PID controller design is implemented in this paper to show the optimal energy utilization of actuator. Performance analysis has been carried out to validate the control structure. It is been analyzed that based on the speed and quality requirement of the process, set of controller values can be obtained and best set of PID can be selected for real time implementation. Results depicts the efficiency of control scheme with performance index.

Cascade PID Control of a Reactive Distillation Process for Biodiesel Production: A Comparison with Conventional PID Control

2018 ◽  
Vol 35 ◽  
pp. 134-144 ◽  
Author(s):  
Abdulwahab Giwa ◽  
Abel Adekanmi Adeyi ◽  
Victoria Abosede Adeyi
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Distillation Column ◽  
Reactive Distillation ◽  
Cascade Control ◽  
Biodiesel Production ◽  
Main Process ◽  
Heat Of Reaction ◽  
Distillation Process

The combination of chemical reaction and distillation, which is analogous to inserting a chemical reactor into a distillation column, is a phenomenon that can be accomplished using a single piece of equipment known as a reactive distillation column, and the phenomenon is, thereby, referred to as reactive distillation process. Because of this combination, a lot of benefits such as improving reaction conversion, suppressing side reactions and utilizing heat of reaction for mass transfer operation can be achieved. However, this combination has made the control of this process a little bit challenging because of some disturbances that normally affect its smooth running. Therefore, cascade control method, being a type that can be used to handle any disturbance before it affects the main process, is applied in this work to carry out the control of a biodiesel reactive distillation process using proportional-integral-derivative (PID) control algorithm. The responses of the process towards the applications of step changes to the input variable (reboiler duty) of the process revealed that it was stable because it could attain steady states. Also, the closed-loop simulations showed that cascade PID controller was better for the control of the process than the conventional PID controller owing to the fact that the responses of the cascade PID control system, upon the application of step changes to the set-point value of the controlled variable, were found to get to the desired setpoint faster and in a better way than those of the conventional PID control system. Moreover, the superiority of the cascade PID controller over the conventional one was demonstrated by the estimation of the integral absolute error (IAE) and integral squared error (ISE) of the cascade control system, which were obtained to be less than those of the conventional PID control system.

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