The aim of this research was to maintain the interacting liquid level and temperature parameter values at the desired level. The design of decoupling and linearization algorithm (Hirschom's algorithm) and soft sen...
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This paper presents an algorithm to segment the blood vessels in retinal images. The contribution of this work is that we exhibit how a line detection can be applied in a multi-scale framework to fulfill the sophistic...
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This paper presents Hirschorn's algorithm (decoupling and linearization algorithm) for a approximated model of interacting thermal non-linear process. Closed loop simulation was carried out incorporating the above...
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This paper presents Hirschorn's algorithm (decoupling and linearization algorithm) for a approximated model of interacting thermal non-linear process. Closed loop simulation was carried out incorporating the above algorithm and the results are compared. control performance of a Hirschorn's is found to give better results. Obtained control laws for Hirschorn's algorithm shows relatively good results. The control laws obtained for Hirchorn's algorithm gives improved Settling time (Ts) and Integral Square Error (ISE).
Gasoline engine is a complex power generating machines and used widely in automotive industry, which the failure rate is high. Carrying out the gasoline engine fault diagnostic methods have been studied and still a la...
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Gasoline engine is a complex power generating machines and used widely in automotive industry, which the failure rate is high. Carrying out the gasoline engine fault diagnostic methods have been studied and still a lasting topic for scientists. Crankshaft instantaneous angular acceleration, which evaluated by second derivative of the crankshaft rotation respect to time contains information for fault diagnosis. In this paper, phase modulation signal is derived from the phase of an analytical signal which evaluated by using the Hilbert Transform technique. To verify the signal analysis technique, the engine model created originally by John J. Moskwa needs to be extended to produce fluctuation of the crankshaft angular acceleration and to implement the extended model into the dSPACE equipment to control and diagnose the engine.
In impact dynamics, coefficient of restitution (COR) is an important parameter to calculate the impulse. Generally, COR has been assumed a constant value. However, COR varies according to the colliding condition. In o...
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In impact dynamics, coefficient of restitution (COR) is an important parameter to calculate the impulse. Generally, COR has been assumed a constant value. However, COR varies according to the colliding condition. In order to apprehend this phenomenon, analysis of impact dynamics is conducted using a 3-DOF finger mechanism. The external impulse exerted on a wall or a cart by the mechanism is a function of the robot's geometry and dynamic parameters. In this paper, we derive an analytical model of COR with the 3DOF finger model colliding to a wall and a cart, and emphasize that the actual motion just after impact is not the same as what we expected unless the variable COR is considered. The effectiveness of proposed COR model is verified through wall and cart impact experiments using the finger mechanism.
The quadruple tank system is a challenging multi-variable model consisting of four interconnected tanks, two level sensors and two input pumps. This paper deals with the control and estimation of such a system. All th...
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Computer vision has been increasingly used as a tool for orientation of machines in unknown areas. This paper deals with the challenge of perceiving traffic signs for autonomous driving. It is concerned with the compe...
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Computer vision has been increasingly used as a tool for orientation of machines in unknown areas. This paper deals with the challenge of perceiving traffic signs for autonomous driving. It is concerned with the competition of fully autonomous robots that takes place in a track with the shape of a traffic road. A specific set of signs has been addressed and solved with very good results. A combination of two techniques based on blob analysis and pattern recognition has been used and selected results of the experiments are presented along with the description of the main algorithms. Introduction also contains a brief research of work that has been already published in this area of engineering.
The implementation of automated regulatory control has been around since the middle of the last century through analog means. It has allowed engineers to operate the plant more consistently by focusing on overall oper...
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This paper presents applications of second order sliding mode observer schemes to three different aerospace problems. Two relate to ADDSAFE aircraft fault detection benchmark problems. Firstly, the detection and isola...
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This paper presents applications of second order sliding mode observer schemes to three different aerospace problems. Two relate to ADDSAFE aircraft fault detection benchmark problems. Firstly, the detection and isolation problem associated with an actuator jam/ is considered and secondly an actuator oscillatory failure case is tackled. For the actuator jam scenario the actuator deflection becomes decoupled from the demand issued from the flight control computer and remains fixed at some uncommanded point. For the OFC problem, the reconstruction scheme requires an estimate of rod speed provided by a second order sliding mode observer. Ideally low gains in the observer are required because of the noisy environment associated with the physical system. An adaption scheme is therefore required to retain sliding in the presence of severe faults. A problem associated with fault detection in a formation flying scenario, associated with satellites is also discussed. This application to a relative degree two problem would be difficult to solve using linear observer methods.
The accurate measurement of oxygen content in flue gas at coal fired power plant is important for realizing closed-loop control and optimization of combustion processes. A cloud model is incorporated into the measurem...
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The accurate measurement of oxygen content in flue gas at coal fired power plant is important for realizing closed-loop control and optimization of combustion processes. A cloud model is incorporated into the measurement of oxygen content in flue gas. A qualitative and quantitative transformation fusion model based on the cloud model theory is established. The oxygen content in flue gas from real-time measurement at coal fired power plant is estimated using traditional arithmetic average, weighted mean fusion method as well as cloud model theory. Practical tests were undertaken to determine the oxygen content in the flue gas by using the three methods for practical operating data. The test results show that the proposed method produces more accurate measurement values than the one given by the arithmetic mean of a finite number of sensors.
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