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In many Industrial applications, Boiler drum level is a critical variable in the safe operation of a boiler. A low drum level risks uncovering the water tubes and exposing them to heat stress and damage. High drum level risks water carryover into the steam header and exposing steam turbines to corrosion and damage. Because of this nonlinear function and uncertainties of a boiler system, PID Controller...
In this paper Fuzzy adaptive proportional-integral (PI) controller is designed to control the level of interacting tank. In the interacting process the load on the first process affects the second process and vice versa. The conventional PI controller cannot reach satisfactory result. The gain parameters of PI control are obtained by Ziegler-Nichols (ZN) tuning method and can be adjusted automatically...
This paper presents a terminal sliding mode control (TSMC) for single input single output (SISO) system based on empirical model of the level control system. The nonlinear function is added into the sliding surface in TSMC to find the unmeasured disturbances of the system and stability of the system can be analyzed by using the Lyapunov function. Due to nonlinear surface, controller assures fast finite...
This work suggests the method to improve the performance of interacting coupled tank system by the combinational control of feedback and feed forward simultaneously. This control system is considered to maintain the level of the second tank at some predefined value by using feed forward and feedback combinational scheme. Though conventional proportional integral- derivative (PID) controller is most...
This paper includes the design and implementation of a fuzzy logic controller for level control system to overcome the limitations of the conventional controllers. Mostly preferred controller is a Proportional Integral Derivative (PID) controller which has fixed control parameters. Selection of wrong parameters in a PID design results into uncontrollable process. But fuzzy logic controller is a rule...
This paper addresses the decentralized proportional - integral (PI) controller design for two-input, and two-output (TITO) processes. The controller design is based on the nondimensional analysis. Selection of proper controller is difficult task for multivariable processes because of the interacting dynamic behavior of the process variables in which change in one manipulated variable affects the other...
This paper is concerned with design of second order sliding mode controller (SOSMC) with linear dynamic sliding surface. The sliding surface consists of a gain matrix having a variable damping ratio and settling time. The methodology explained is suggested to design systems with desired dynamic behaviour and robust for process uncertainties. In this study sliding mode control (SMC) and SOSMC are designed...
This paper is concerned with the combination of model reference adaptive control (MRAC) and PID. Incorporating application for inverted pendulum system, subjected to it finds the analogy with various control system applications like robotic arm, satellite launching system etc. The main aim is to find further improvement of traditional MRAC method and to provide more accurate control to the inverted...
This paper presents sliding mode controller design based on decoupling approach for multivariable process. The performance of proposed controller is experimentally verified on multivariable coupled tank system. The controller and decoupler are designed from process model obtained from fundamentals and experimental step response data. SMC is designed using linear sliding surface and stability of the...
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