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THz Continuous Wave (CW) spectroscopy, both in transmission and reflection mode, is used for determining the attenuation coefficient and refractive index of Carbon Fiber Reinforced Polymer (CFRP) composites. Using CW transmission mode, attenuation coefficient of the CFRP sample has been calculated while the reflection mode setup has been used to calculate the refractive index of the sample. From the...
In many process industries storage tanks are used to restore liquids requiring level control. Liquid height in each tank shows integrating plus dead time (IPDT) behavior. When two such tanks are connected in series gives us a double integrating plus dead time (DIPDT) process. A DIPDT process itself is unstable for step inputs/changes. Hence it is recommended to use a controller for stabilizing the...
In this paper, an attempt is made to find the control law using Row by Row Decoupling Problem (RRDP) and Triangular decoupling problem (TDP) concepts. Before finding the control law, the issues on specification and methodologies are addressed in detail. Finally, the control law is presented for two input and two output system for both cases. Simulation for each category is presented in detail.
All real word process are nonlinear in nature, control of such process is still challenging. Two interacting conical tank process is a one such nonlinear process. First order plus dead time model obtained from process. In this paper coefficient diagram method combined with PI controller. Robust controller is designed based on stability index and equivalent time constant which is related to polynomial...
IoT-based applications are becoming more popular and provide effective solutions for many real time problems. In this research, real-time monitoring system for residential energy meter is proposed. The presented system provides ubiquitous and continuous access to energy consumption to the consumer by exploiting the advancement of IoT technology. The proposed system is cost effective as it requires...
In the present work, the matrix notation is used to derive the IMC decentralized and centralized PI controllers. Maclaurin series is applied to the resulting equation to get the controller parameters. For design of the controllers, the diagonal and full elements of the process are used. Whereas for evaluating the performance of the controllers, the full process transfer function matrix is used. To...
Analysis of combustion quality of flame images of thermal and gas turbine power plants is of great importance. In the domain of image processing the detection, recognition and understanding is the foundation for identifying the combustion condition. Soft sensors are the state of the art. So the flame temperature based on subsequent combustion quality estimation is done using Back Propagation Algorithm...
Most of the conventional fruit sorters employ mechanical weigh scale for grading the fruits based on weight. These sorters make use of force balance weigh scale method for fruit dropping which drops the fruit based on the preset counter balance weight. This mechanism is mainly used for grading and sorting of fruits based on weight alone. This paper describes the development / automation made over...
Mathematical model of human heart is essential for designing human heart control devices like pacemaker and defibrillator. However, first principle model for whole heart is difficult to develop due to highly complex and nonlinear nature. In this paper, two nonlinear dynamic empirical models namely: Nonlinear Autoregressive Exogenous (NARX) and Hammerstein-Wiener model are developed using system identification...
Many fluorescence spectroscopic studies have proven its novelty and considered as a promising tool in the diagnosis of any health disorders using biofluids. This technique is highly sensitive, real time, non invasive and also it holds many interdependent methods. Urine is one of the most diagnostically important biofluid as it carries specific proteins released from blood used in the collection of...
The boiler drum is non-linear complex industrial equipment due to its phase change and inverse response behavior. One of the crucial control parameter of the industrial process is the drum level, reflected mainly by the load and feed water indirectly. As a result, the prediction of boiler drum level in thermal power plant which needs the modeling of boiler drum using data-driven approach is chosen...
This paper presents neural network based dynamic threshold generator for sensor failure detection in a three tank interacting level process. The Fault Detection and Identification scheme performs the tasks of failure Detection and Identification by continuously monitoring the outputs of the sensors and the estimates of the states. Estimation errors are observed and the decision functions are formed...
This paper proposes an optimal design of brushless permanent magnet DC motor (BLDC) based on the capability of Particle Swarm-based Optimization (PSO) Algorithm and Genetic Algorithm (GA) in finding the optimal solution. The procedure makes use of slot opening, magnet length and air gap length as design variables. Cogging torque is treated as the performance indices. The proposed algorithms are more...
Most of the spices like hot chilli, pepper are usually grown as annuals. Hence, they need to survive in both summer climate as well as winter climate. Commonly, the productivity of hot chilli plant will be affected by cold climate conditions. To protect the hot chilli plant from winter temperature greenhouse heating system is required. Modelling and control of nonlinear Green House System (GHS) are...
From the past decades it is observed that Stochastic Petri Net (SPN) is a better tool for design and analysis of biological systems. The factor of Randomness and Unclearness in the design of biological system paved the way for the use of SPN. A Generic human immunity system modeled as a SIR(Susceptible Infected and Recovered) model is considered and modeled using SPN and Continuous Petri Net(CPN)...
The purpose for this paper is to describe the central Embedded Controller development done for Mass Flow Controllers (MFCs) M100B system. Work caters to control M100B MFCs being used for one of the systems at National Chemical Laboratory. M100B MFC accurately measures and controls the mass flow rates of gases. The central controller for this system is non functional and technology is outdated and...
This paper presents a Fuzzy Logic Control (FLC) scheme and Adaptive Network Fuzzy Inference System (ANFIS) for a biological waste water treatment plant, with the goal of reducing aeration energy. The famous Benchmark Simulation Model1 (BSM1) is used to test the control strategy. This hybrid controller works based on the control objectives framed in terms of rules and hence it does not require any...
Industrial process loops are mostly interacting in nature. Automation of multi-input-multi-output interacting process involves tedious multiloop PID control design procedure. With the growth of fractional calculus in the field of automation, fractional order PID controller is attempted in this paper. Tuning of the controller parameters involves getting the process model, interaction analysis, tuning...
An attempt is made to design the centralized controller based on the inverted decoupling structure (CCID) for non-square (nxm) processes with multiple time delays. To avoid the Moore-Penrose pseudo-inverse of the nominal plant with multiple time delays and Maclaurin series approximation, a centralized controller is decomposed into two components using inverted decoupling structure. The two components...
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