The fuzzy PID control method is proposed for multi-model plants in this paper. In this model-free control system, the fuzzy PID controller is designed to control a multimodel plant and the neuron is used to regulate t...
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The fuzzy PID control method is proposed for multi-model plants in this paper. In this model-free control system, the fuzzy PID controller is designed to control a multimodel plant and the neuron is used to regulate the rule base of the fuzzy controller online. Applying the proposed method to the basis weight control of a paper machine, the simulation experiments are made. The results illustrate that the fuzzy PID controller is available to multimodel plants.
At present, the distribution of a control system based on a network is a "hot" research subject in the field of processcontrol. This paper designs and implements a network-based processcontrol system, whic...
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At present, the distribution of a control system based on a network is a "hot" research subject in the field of processcontrol. This paper designs and implements a network-based processcontrol system, which possesses functions such as remote control, clock synchronization, and a friendly man-machine interface. Simulation results over a university campus network confirm that the network-based control system is feasible and effective.
Based on operation analysis and methods in developing ERP systems, the authors construct and develop IRP (Intelligent Resource Planning) of testing labs by means of CORBA (Common Object Request Broker Architecture) an...
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Based on operation analysis and methods in developing ERP systems, the authors construct and develop IRP (Intelligent Resource Planning) of testing labs by means of CORBA (Common Object Request Broker Architecture) and the functionalities, architecture and solutions of MAS (multi-agent systems). It is shown that IRP of testing labs can enhance testing efficiency, standardize management of the lab, carry out quality assurance and assist in decision-making.
A new neuron model-free control method for hydroelectric generating units is applied with consideration of the intrinsic characteristics of hydroelectric generating units and the problem with the governing control. Th...
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A new neuron model-free control method for hydroelectric generating units is applied with consideration of the intrinsic characteristics of hydroelectric generating units and the problem with the governing control. The influences of time-varying parameters and the disturbances on control behavior of the system are eliminated by the use of a neuron model-free control method with PID turning gain. Simulation results show that the new control system has good real-time control performance and strong learning ability. The transient and robust performances of the governing system are improved markedly. The control requirements can be matched under variations of the water turbine governing system structure and parameters.
The variable structure neuron model-free control method for hydraulic turbine generators is proposed in this paper. Based on the neuron model and the learning strategy for control, the variable structure neuron contro...
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The variable structure neuron model-free control method for hydraulic turbine generators is proposed in this paper. Based on the neuron model and the learning strategy for control, the variable structure neuron control system is designed. The simulation experiments of controlling the hydraulic turbine generator are made. The results illustrate that this model-free control method has a good performance, strong robustness and adaptability. This new controller is also very simple.
This paper presents an input-output block energy decoupling method for linear systems with time-varying delays. It is an approximate decoupling approach, under which the energy of each block input controls mainly the ...
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This paper presents an input-output block energy decoupling method for linear systems with time-varying delays. It is an approximate decoupling approach, under which the energy of each block input controls mainly the energy of a corresponding block output and influences the energy of the other block outputs as weakly as possible. The results depend on the size of delay and are given in terms of linear matrix inequalities (LMIs). With the powerful LMI toolbox, it is very convenient to solve this problem.
This paper addresses the supervisory control of the class of discrete event system (DES) modeled by a Petri net. The control specification described by a linear 'less-than-or-equal-to' inequality defined on th...
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This paper addresses the supervisory control of the class of discrete event system (DES) modeled by a Petri net. The control specification described by a linear 'less-than-or-equal-to' inequality defined on the place marking of the net has been extensively studied in the literatures. However, in this paper we consider the control specification in the form of linear 'greater-than-or-equal-to' marking inequality. The supervisory control of the DES with 'greater-than-or-equal-to' constraint is implemented via an enabling arc, which is a recently proposed arc by Uzam (1998) and Uzam et al. (1999) and can be regarded as complementarity of inhibitor arc. An example illustrates the supervisory control method is presented in this paper.
The concept of equivalence matrix, which expresses an equivalence relation, is introduced. The relations between the equivalence matrix and equivalence classes are discussed. The proposed algorithms for data cleaning ...
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The concept of equivalence matrix, which expresses an equivalence relation, is introduced. The relations between the equivalence matrix and equivalence classes are discussed. The proposed algorithms for data cleaning and rule extraction in the knowledge system based on matrix computation and its complexity of computation are analyzed. All rules hidden in the knowledge system can be obtained efficiently via this methodology. The algorithms emphasize the practicability of rule generation and a case study indicated their effectiveness.
For a field-level industrial network, the real-time characteristic is very important. Fieldbuses are typical industrialcontrol networks and their real-time characteristic mainly depends on the temporal property of th...
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For a field-level industrial network, the real-time characteristic is very important. Fieldbuses are typical industrialcontrol networks and their real-time characteristic mainly depends on the temporal property of the MAC protocol, which also is requirement of a distributed computer control system. Both WorldFIP and FF are the most important fieldbuses by their character of adopting a schedule table (ST) to control the real-time communication of tasks. This paper mainly introduces the characteristic of the ST algorithm, including establishing and optimizing it, and how to use it to support real-time communication in an industrialcontrol network.
An important processcontrol trend is the implementation of digital communication with field control devices. Traditional distributed control systems are being augmented with smart field instruments. Foundation Fieldb...
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An important processcontrol trend is the implementation of digital communication with field control devices. Traditional distributed control systems are being augmented with smart field instruments. Foundation Fieldbus is a digital control network that interlinks such "smart" field instruments like sensors and actuators in a processcontrol environment. In the Foundation Fieldbus all the control algorithms and data acquisition are executed by structures called function blocks. This paper attempts to improve the performance based on these function blocks. First, an introduction to the function blocks of Foundation Fieldbus and their structure and execution process are presented. Then, an example of a fermentation process is described. The structure of the control system and the implementation of distributed control based on function blocks are discussed. Finally, the problems related to system safety with function blocks and their programming language are dealt with.
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