Over the last few decades digital computer technology has matured to the point that the engineering world has witnessed a revolution in the way in which mathematical problems are solved. Problems too complex to be sol...
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Over the last few decades digital computer technology has matured to the point that the engineering world has witnessed a revolution in the way in which mathematical problems are solved. Problems too complex to be solved analytically can now be solved in a feasible manner, by employing a computersystem which emulates the human learning and decision-making process. Areas such as neural networks, expert systems, and fuzzy logic systems implement `human-like' capabilities. This work focuses on the design of Adaptive Fuzzy Logic control of an anti-lock braking system. This controller will never know the exact plant model, but will know input-output relations of the plant (training data). The controller will initially employ a priori training data to control the braking system, but will continue to train on-line while continuously updating confidence parameters and placement of fuzzy sets by employing optimization algorithms. Old data will be slowly forgotten while up-to-date training data are acquired. Thus, changes in road conditions or in the plant itself will be learned.
The temperature of each reheating furnace burner zone is controlled independently by cascade control of temperature-amount of fuels-amount of air. The premise of this strategy is each burner zone being independently c...
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The temperature of each reheating furnace burner zone is controlled independently by cascade control of temperature-amount of fuels-amount of air. The premise of this strategy is each burner zone being independently controllable. In this strategy, interaction of the connected zones and large time delay, influencing the performance of furnace temperature control, have not been taken into account. To solve this problem, Smith compensation and decoupling technique are applied to transform the furnace into several subsystems with weak coupling and no time delay, then the temperatures of burner zones are controlled based on these subsystems.
The snake's interesting gait enables them to climb a hill or wind up a tree to climb it up. Hirose has long investigated the motion of snakes and made several snake robots. He also showed that the trace of the sna...
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The snake's interesting gait enables them to climb a hill or wind up a tree to climb it up. Hirose has long investigated the motion of snakes and made several snake robots. He also showed that the trace of the snake body draws the so called `serpenoid curve'. However, the control of the position of the snake head was shown to be difficult. Here, as the first report of our research outcome, we will show a dynamical position control of the snake robot and discuss the effect of constraining the trace of the head to a serpenoid curve.
Loop-shaping H∞ controller is designed for a nonlinear multivariable boiler-turbine system. Simulations show that the designed controller has good tracking, disturbance rejection properties, and robustness against th...
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Loop-shaping H∞ controller is designed for a nonlinear multivariable boiler-turbine system. Simulations show that the designed controller has good tracking, disturbance rejection properties, and robustness against the variations of the operation points due to the plant nonlinearity. In order to implement the complex H∞ controller, we propose a method to reduce it to a multivariable PID controller. The final simplified controller is composed of three main channel PI controllers plus one off-channel PI controller. It reveals the underlying structure of the designed controller and that of the overall boiler-turbine controlsystem. Simulation results show that it maintains the good properties of the original controller.
Diabetes mellitus is a disease that afflicts many people. Here, an output feedback for blood glucose regulation is presented. To this end, the glucose regulation problem is seen as an output tracking problem. In this ...
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Diabetes mellitus is a disease that afflicts many people. Here, an output feedback for blood glucose regulation is presented. To this end, the glucose regulation problem is seen as an output tracking problem. In this way, the proposed controller leads the glucose level from diabetic to normal behavior. The resulting controller contains two parts: (I) A state estimator and (II) a linearizing-like control law. The proposed controller yields smooth control actions. Numerical simulations show that the controller is able to reject load disturbances.
This paper compares three different uncertainty estimation techniques in terms of predicting a priori performance bounds on the closed-loop system. A major benefit of computing the performance bounds is they expedite ...
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This paper compares three different uncertainty estimation techniques in terms of predicting a priori performance bounds on the closed-loop system. A major benefit of computing the performance bounds is they expedite the controller implementation process, which is a critical component in the acceptance of the controlsystem by the process operators. A key ingredient in computing these bounds is uncertainty estimation. The three methods evaluated are the Coprime Factor Uncertainty Method, Zhu's Asymptotic Method, and Bayard's Frequency-Domain Method. We compare the performance bounds obtained by applying these uncertainty estimation procedures on a paper machine control case study.
A new direct closed-loop identification method only using the plant input/output data acquired through an output inter-sampling scheme is presented in this paper. By taking the faster sampling of the system output tha...
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A new direct closed-loop identification method only using the plant input/output data acquired through an output inter-sampling scheme is presented in this paper. By taking the faster sampling of the system output than the control interval, we can clarify that the inter-sampled plant model can also be described by a SIMO model structure, which can provide the identifiability of the closed-loop. One of the advantages is that the proposed identification method using the inter-sampled output observations can remove the ordinary restrictive identifiability condition, and it is not required that the reference input holds the persistently exciting (PE) property. Its effectiveness is demonstrated through an experimental study using a magnetic suspension system.
In office buildings, the requirement is that the room air-conditioning controlsystem has to provide a comfortable thermal feeling for the working people. While energy saving may sometime conflict with comfort, it is ...
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In office buildings, the requirement is that the room air-conditioning controlsystem has to provide a comfortable thermal feeling for the working people. While energy saving may sometime conflict with comfort, it is possible to eliminate the wasteful use of energy associated its overuse without prejudice to comfort. The basic concept is that the target set values for the room temperature should be changed dynamically so as to suit the constantly changing room environment. This paper shows that the well-known comfort index PMV is useful to airconditioning controlsystems aimed at both energy-saving and comfort.
Vibration control has been identified by wood products industry as one of the key technologies for increasing wood recovery in wood machining. This paper presents results of a research project for active vibration con...
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Vibration control has been identified by wood products industry as one of the key technologies for increasing wood recovery in wood machining. This paper presents results of a research project for active vibration control of circular saws using magnetic actuators. An active controlsystem is developed to increase wood recovery by reducing saw blade vibration. For on-line estimation and control of vibration characteristics, a state-space model is developed based on the finite element model analysis and experimental measurement. The characteristics of different vibration modes is estimated on-line by a Kalman filter based state estimator. A state feedback controller design is then implemented on-line and good damping results have been achieved.
Genetic search techniques constitute an optimization methodology effective for solving discontinuous, non-convex, nonlinear, or non-analytic problems. This paper explores the application of such techniques to a non-an...
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Genetic search techniques constitute an optimization methodology effective for solving discontinuous, non-convex, nonlinear, or non-analytic problems. This paper explores the application of such techniques to a non-analytic event-related air traffic control problem, that of runway assignment, sequencing, and scheduling of arrival flights at an airport with multiple runways. Several genetic search formulations are developed and evaluated with a representative arrival traffic scenario. The results exemplify the importance of the selection of the chromosomal representation for a genetic-search problem.
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