A~tracts
016 PC-Based Equipment for System Identification and Control E. Bertran, G. Montoro, pp 99-104 Personal-computer-based equipment is of interest as much in measurement and control as in the education field. The behaviour and applications of a low-cost, versatile and expandable system are shown in this paper. The equipment is useful for identification and control applications and has a great potential/cost ratio, compared with other equipment on the market. It has two pamcular characteristics: f ~ t , the acquisition hoard is autonomous and capable of adapting unknown input signals (automatic level adjustments), and secondly, an adaptive filter for interference cancelling is available. The equipment is intended to facilitate the analysis of systems and the design of closed-loop control laws.
017 N-Optimum and Suboptimum Feedback Control of Systems with Variable Parameters P. Pivonka, P. Vavrin, pp 105-108 There is, currently, increasing interest in the design and implementation of adaptive control algorithms that use methods that make it possible to control dynamic systems, where only a minimum of a priori information on the properties of such systems is available. An n-optimum and suboptimum control algorithm is proposed, to be used as an algorithm for a self-mnin_g regulator, with minimum demands on the hardware and the software.
018 Experimental Remits with Simplified Algorithm of Estimation the Parameters of a Dynamical System E. Jezlerski, pp 109-113 The paper deals with the three estimation methods of parameters, i.e. the non-recursive least-squares method, the recursive least-squares method, and Kaczmarz's projection algorithm. These methods were experimentally tested by estimating the parameters of a fast DC motor. The tests showed that the simple projection, algorithm gives slightly less precise estimates m comparison to the least-squares methods, but is significantly faster. This algorithm can be successfully applied in those situations where rapid changes occur in the description of a system's dynamics, which are typical, for example, in robotics. It can be useful in some applications of indirect adaptive control schemes. 019 Software Package for Model Identification and Parameter Estimation of Systems T. Escobet, J. Quevedo, pp 115-120 This paper presents a new algorithmic process for the automatic selection of the best model structure. This software package, called IES, permits automatic identification of the order and delay of a model using a combination of the t-Student test and a modified Akaike's criterion. The exploration of the model structure requires two phases, one for approximation and the second for adjustment. The IES software uses some MATLAB functions, perfo~-~ed in the DOS Operating System on a personal computer. This software package has been used in some dynamic processes with good results.
020 A Knowledge.Based Closed.Loop Process Identifier via Correlation Pattern Recognition V.P. Deskov, G.M. Dimlrovski, N.E. Gough, I.H. Ting, pp 121-124 An object-oriented, knowledge-based, correlationmatching expert system for pattern recognition and typical
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identificadon of linear dynamic models of industrial object processes has been designed. It represents an advanced stage of research and development in AI techniques for automation and systems engineering applicafons. It is aimed at recognition and typical identification of approximate process models within a PC CADCS environment for the hierarchical control of interconnected multiv ariable objects. 021 Sensor Actuator to Control the Temperature Effects into a System Based on a Quartz Crystal J. Argueiles, M.J. L6pez, M. Martinez, S. Bracho, pp 125-130 Many applications require voltage sources with high stability frequency and fast warm-up at any ambient temperature, stability over the operating temperature range, low phase noise and low cOSL Where the highest stability rates are required, it is necessary m improve the stability of quartz crystal oscillators, optimally by controlling the oscillator's temlx~ature. This paper demonstrates the design of a new controller type, specially designed to avoid many of the long- and short-term stability problems that standard proportional controllers induce in the oscillator circuit. A variation of the controller has been developed, to improve its warm-up performances when required. Some applications are shown, to demonstrate the performance of the controller. 022 On-Line Measurement of Paper Shrinkage Using Image Analysis A. Guesalaga, A. Foessei, M. Guar|ni, A. Clprlano, pp 131-135 The paper describes advances made in computer methods for the detection of paper shrinkage during the drying stages. The technique is based on two-dimensional Fourier transformations used to detect those periodic marks left on the paper by the wire during the formation stage. These marks are obtained from images of paper taken by low-cost CCD cameras for a later matching with those of the wire. Differences in separation of lines for the two cases are due to paper shrinkage. Finally, some comments on hardware considerations of the sensor design, and the potentials of the method for the paper and graphic industry are given. 023 An Integration of the Multisensory System ~. Havlik, D. Hrnby, J. Kallna, P. Pokorn/k, pp 137-142 This paper presents a multisensor system for robotic applications using a communication network with specific requirements. The real system includes numerous sensors for measuring the mechanical quantities, including multicomponent force/torque, proximity/distance, noncontact position, and tactile contact force. The communication system should satisfy some given speed, time response and reliability requirements. Another set of problems is the architecture of the communication network between sensors/actuators and controller. Inters Bithus has been chosen. It is a master-slave type field bus, especially suitable for the transmission of short messages. The performance of this multisensor system is described.
024 Intelligent Multiprocessing System for Data Acquisition D. Ofrlm, F. Ceapolu, M. Antonescu, pp 143-146 The acquisition, processing, control and representation of the experimental data of a process require intelligent and performant systems. This paper presents a multiprocessor