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Knowledge of dynamic behavior of process plants is essential in designing, commissioning and operating process plants. Several advanced model based technologies require explicit dynamic models of the process plant. However, even the development of the dynamic model of a simple unit operation is very daunting, costly and time-consuming. This paper presents a rigorous dynamic simulation using Aspen...
This paper presents a novel method∗ for implementing a split range control using a Proportional-Integral (PI) controller where two valves, a big and a small valve, can be used to simultaneously control the underlying process. The proposed control strategy uses proportional action to move the small valve while the integral action is directed to the big valve. Linear stability analysis and design techniques...
Metaheuristics based global optimization technique is one among the state of art in soft sensing applications. The metaheuristic based soft sensor is capable of coping with the stochasticity of the process and as well as the corresponding nonlinearities in the dynamics. In this work, a multi-objective based parameter estimation and soft-sensing of unknown states are carried out for a modified version...
Modern industrial plants consist of many processes occurring simultaneously which are to be monitored and controlled at all time, during plant operation. Typically, industrial plants are multi-input multi-output type and they also exhibit strong non-linear dynamics. Three tank liquid level control is such a laboratory based benchmark multi-variable control problem for modeling, identification, fault...
This paper represents the experimental setup on the level control system which is called as quadruple/multivariable tank system. The setup consists of four experiments: single capacity, interacting, non-interacting and quadruple/multivariable tank system. Here, the ultrasonic sensor is used to control the level. The setup is interfaced with Arduino UNO (ATmega328) with its programming logic which...
This paper presents results of implementation of an Internal Model Control (IMC) based controller for the flow control application to meet robust performance. In this paper, implementation of IMC based controller for flow control application to achieve the set point tracking in presence of load disturbance is discussed. To show the disturbance rejection ability of IMC based controller, results of...
The interactions between input/output variables are a common phenomenon and the main obstacle encountered in the design of multi-loop controllers for interacting multivariable processes. In this paper, a method for controlling multivariable processes is presented. The controller design is divided into two parts: firstly, a decoupling matrix is designed in order to minimize the interaction effects...
In the last two decades, education systems through computing resources represented greater flexibility, accessibility and adaptability to conventional education systems. On the other hand, industry increased demands for quality, safety, environment and economic management of plants. In both situations studies on process control and complete plant simulation provided the solution for the industry and...
The nonlinear fuzzy PID control strategy, which combines nonlinear control, fuzzy control and PID control, is put forward in this paper to deal with the control of a class of nonlinear and large inertia plants under complicated and large variation conditions. The proposed control strategy can adjust control parameters timely and appropriately according to the dynamic characteristics of the systems,...
PID controllers are becoming quite common in the commercial, institutional, and industrial fields. Proper application and tuning of this control algorithm can bring many efficiency and performance benefits with it. However, improper applications, lack of understanding and poor tuning of these controllers are often the main causes behind many commissioning problems. This paper introduce a new practical...
The paper deals with the problem of modeling and control of nonlinear processes using the Local Model Network (LMN). The idea is based on development of the local linear models for the whole operating range of the controlled process. The nonlinear plant is then approximated by a set of locally valid sub-models, which are smoothly connected using the validity function. For saving the computational...
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