For the main steam temperature system of pulverized coal fired boiler, the modeling precision is not quite satisfactory based on the traditional transfer function. Utilizing the nonlinearity of thermal process, the pa...
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For the main steam temperature system of pulverized coal fired boiler, the modeling precision is not quite satisfactory based on the traditional transfer function. Utilizing the nonlinearity of thermal process, the paper proposes the methodology of T-S fuzzy neural network for data fitting. The antecedent parameters are determined by selected centers obtained from simplified subtractive clustering method, and the number of `If-Then' rules is automatically generated. Afterwards, the improved particle swarm optimization algorithm is proposed to assign the initial consequent parameters of rules which are then fine-tuned by BP algorithm. The simulation results show that the algorithm not only achieves the goal of higher precision, but also exhibits higher generalization ability with respect to the problem of identification and optimization of the main steam temperature system.
The paper considers a complex problem of the optimized management and control of energy supplied from solar and traditional electrical and gas energy sources into a single-family house in order to meet required temper...
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The paper considers a complex problem of the optimized management and control of energy supplied from solar and traditional electrical and gas energy sources into a single-family house in order to meet required temperature in the house. Solving the problem is approached by applying the controlengineering methods. The system model dynamics is derived and simulated in order to learn its essentials needed for designing the management and control architecture. The multilayer architecture including actuators of the control signals is derived and discussed. A model predictive control is proposed as a base for designing the control algorithms.
A problem of optimised placement of the hard quality sensors in Drinking Water Distribution Systems for robust quality monitoring is formulated. Two numerical algorithms to solve the problem are derived. The optimalit...
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A control system engineering approach to monitoring and control of critical infrastructure systems (CIS) is presented in the paper. A multilayer structure for an intelligent reconfigurable agent operating within a sin...
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This paper presents a novel approach for speed governing of hydro-turbine by means of a sliding mode controller. For selecting a group of parameters of the sliding surface, genetic algorithm is employed to search thes...
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This paper presents a novel approach for speed governing of hydro-turbine by means of a sliding mode controller. For selecting a group of parameters of the sliding surface, genetic algorithm is employed to search these parameters. For decreasing the chattering problem of the sliding mode controller, a fuzzy interface system is harnessed to regulate the controller gain. To verify the feasibility and robustness of the control method, simulation results from a hydro turbine unit with the controller designed by the presented procedure are given as an illustration.
control of the networked control systems is a crucial challenge. In the environment of shared communication media, data may be randomly delayed or even lost. As the shared communication links are used in the critical ...
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control of the networked control systems is a crucial challenge. In the environment of shared communication media, data may be randomly delayed or even lost. As the shared communication links are used in the critical infrastructure systems, the problem becomes even more important. As opposed to network compensation, solutions presented in the paper integrate network with the controlled plant. The proposed networked control system employs the model predictive control technology and is based on the buffer in the actuator. Stability of the presented solution used to control a linear discrete time system is analyzed. A simulation example is also provided.
In this paper, we present an adaptive input-output feedback linearization controller, using the single cell FitzHugh-Nagumo (FHN) model, to track a normal action potential. The problem is to design a feedback control ...
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In this paper, we present an adaptive input-output feedback linearization controller, using the single cell FitzHugh-Nagumo (FHN) model, to track a normal action potential. The problem is to design a feedback control law which stabilizes an unstable rhythm of the FHN model and track a normal action potential only using output feedback. Here we use an adaptive observer to estimate the unknown parameters and states of the FHN model so that it can be used in the controller design process. The procedure is based on the combination of high-gain parameter and state observer and feedback linearization controller with the aim of reference signal tracking for the single cell FHN model. Simulation results show the efficacy of the proposed technique. FHN model seems to correctly capture the electrical behavior of the cardiac cells, and therefore this method might have important applications, especially, in the ground of control of cardiac arrhythmia.
A genetic algorithm based optimization technique for optimum design of power system damping controller in a multi-machine power system has been developed. In this technique, the genetic algorithm involves an objective...
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A genetic algorithm based optimization technique for optimum design of power system damping controller in a multi-machine power system has been developed. In this technique, the genetic algorithm involves an objective function that is based on the integral of squared-time- squared-error criterion. Parameters of the power system stabilizers are tuned via simulation experiments based on a non-linear model of the system. The dynamic performance has been investigated under both small and large disturbance perturbation, and compared with the case of conventional optimization using phase compensation. Simulation experiments have demonstrated the proposed genetic-algorithm optimized power system stabilizers do enhance quality dynamic performance over a wide range of operating conditions by effectively damping both local and inter-area oscillation modes.
Rough sets, a tool for data mining, deal with the vagueness and granularity in information systems. Rough approximations on a complete completely distributive lattice(CCD lattice for short) and brings generalizations ...
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This paper is to introduce the design and optimization the PoE Hub with redundancy based on the principle of EMC;through the simulation and analysis by FEM to the effectiveness of the hub of the electromagnetic shield...
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