An on-line scheme to failure diagnosis is proposed for dynamic systems under adaptive control, which is designed based on a direct approach to self-tuning regulator. Failure modes occurred in the system are assumed to...
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An on-line scheme to failure diagnosis is proposed for dynamic systems under adaptive control, which is designed based on a direct approach to self-tuning regulator. Failure modes occurred in the system are assumed to be described by unexpected changes in physical parameters of the system. The parameter changes in the controlled system can effectively be detected by using Kullback Discrimination Information (KDI) as an index for model discrimination. In order to decide whether the detected system parameter change is caused by a failure or not, a fuzzy inference approach to failure decision is considered. Some appropriate membership functions which describe fuzzy events of failures are constructed to perform the fuzzy inference. In this way, useful knowledge about failure modes which is available from, e.g., experts can be introduced into the model- based diagnosis technique. Simulation studies of a second-order damped oscillator have been carried out to demonstrate the effectiveness of the method.
作者：
Bilalović, FarukENERGOINVEST
Institute for Automatic Control and Computer Science Tvornička 3 Sarajevo71000 Bosnia and Herzegovina
Design of a decentralized nonlinear system for the robot manipulator control is presented in the paper. Speed control loops are selected to be subordinated ones, then design procedure' for Permanent Magnet Synchro...
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For a given real system S whose stable dynamic behaviour may be satisfactory described by a linear time-invariant state space model with unknown coefficients, a practical solution for the synthesis of a time-optimal d...
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This paper presents details in the implementation of an adaptive autopilot unit used for ship course keeping and course changing. The control strategy is based on the scheme of self-tuning regulator (STR) in which the...
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This paper presents details in the implementation of an adaptive autopilot unit used for ship course keeping and course changing. The control strategy is based on the scheme of self-tuning regulator (STR) in which the generalized minimum variance (GMV) control law is combined with an extended least square (ELS) parameter identification technique. A time-varying extended state Kaiman filter (EKF) is designed to estimate the state of the system under disturbances induced by the sea environment and loading conditions. ELS and EKF constitute an adaptive estimator by which both state vector and parameter vector can be estimated properly. A dual microcomputer system using warm standby redundant design is implemented to guarantee the reliability in the control and safety in the steering. The construction principles of hardware and software are discussed. A sophisticated simulation facility is extensively used in the design stage of the autopilot unit. Several sea trials have been performed at “DAQING 232”, a 15000 tdw tanker, the results of which show that the unit reduces the propulsion losses of the ship motion in addition to keeping the course satisfactorily.
A design frame and a set of circuit elements with which generic motor controllers can be implemented are described. A simple proportional-derivative motor controller was embedded in the design frame. Its performance a...
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A design frame and a set of circuit elements with which generic motor controllers can be implemented are described. A simple proportional-derivative motor controller was embedded in the design frame. Its performance advantages over a more traditional controller are described. Also discussed are the merits of biologically inspired systems used in applications related to robotics.< >
The application of sliding mode control to permanent-magnet synchronous motors (DC brushless motors), wound-rotor synchronous motors, and asynchronous motors is presented. A unified approach to the control problem of ...
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The application of sliding mode control to permanent-magnet synchronous motors (DC brushless motors), wound-rotor synchronous motors, and asynchronous motors is presented. A unified approach to the control problem of AC machines reveals that a simple control algorithm which effectively solves the problem can be derived using variable-structure system theory. Selection of the control variable (angular position, speed, acceleration, or torque) leaves the basic control structure unchanged, and even current limiting can easily be included. The theoretical results are verified by experiments. The design procedure and experimental results show that this approach provides good behavior of the system in both transient and steady-state operation.
The interpreting and analysis of real time sampled signals is important for improvement of quality of products. This article developed an expert system shell ASESS for interpreting and analyzing the real time signals ...
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The interpreting and analysis of real time sampled signals is important for improvement of quality of products. This article developed an expert system shell ASESS for interpreting and analyzing the real time signals ...
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The interpreting and analysis of real time sampled signals is important for improvement of quality of products. This article developed an expert system shell ASESS for interpreting and analyzing the real time signals based on the analysis-synthesis (A-S) inference technology which frequently used by human expert in considering complex problems. The A-S technology is introduced. In order to meet the need of speed of real time control, in ASESS two measures are taken: 1. Knowledge classification and meta-rules are applied. 2. The system is developed with the combination of three languages: Assembler, Fortran and Prolog. Considering the vagueness in inference of human experts, the fuzzy inference technology are applied. The knowledge base of ASESS can be separated from inference engine and can be edited easily, so the system ASESS can be used effectively in different cases by adding appropriate knowledge in that field.
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