scholarly journals AUTOMATIC REGULATOR FOR NON-STATIONARY OBJECTS WITH AN INCREASED RANGE OF NORMAL OPERATION

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
A. I. Pavlov

Many objects automatic control unsteady. This is manifested in the change of their parameters. Therefore, periodically adjust the required parameters of the controller. This work is usually carried out rarely. For a long time, regulators are working with is not the optimal settings. The consequence of this is the low quality of many industrial control systems. The solution problem is the use of robust controllers. Explores the possibility of increasing the survivability of automatic control systems by expanding the area of their normal work. This is achieved by using an artificial neural network simple structure. The method is based on the cooperative effect of neural structures. In this block diagram of the controller is very simple. Such control effectively compensates the coordinate perturbations if they act on the control channel.

1948 ◽  
Vol 159 (1) ◽  
pp. 25-45 ◽  
Author(s):  
A. Porter

The importance of automatic control systems in a wide field of industrial and military applications has been accentuated during the past few years. The object of this paper is to review some of the basic principles of the subject, with special reference to automatic regulating systems. A major difficulty at present is the lack of standardization of the terminology associated with automatic control systems; in this paper an attempt has been made to co-ordinate, albeit on a small scale, generally recognized industrial usage with the recommendations of the Ministry of Supply Servo Nomenclature Panel. It is convenient, for example, to consider an automatic regulator system as a special type of servo-system. In order to present the nomenclature in a manner which may be readily assimilated, the operation of a simple automatic speed regulator is described in detail. The performance of an automatic control system is usually assessed by ( a) the speed of response of the system subsequent to a sudden disturbance, ( b) the nature of the response, and ( c) the magnitude of the steady-state errors. In the case of complex control systems, such as fire-control systems, it is sometimes desirable to study, in addition, the frequency response characteristics of each main element, and to determine the overall performance of the system by the application of vector methods. The latter have been used widely in the solution of acoustical problems, and in the design of electronic feed-back amplifiers, and their adaptation to the analogous problems of servo-system design has considerably facilitated progress. The stabilization of automatic control systems, and the elimination of steady-state errors can often be achieved by the incorporation of subsidiary feed-back loops. For example, a comparison of the basic operation of a typical position control servo-system with that of a typical automatic regulator shows that certain lags in the operation of the latter can be short-circuited by introducing “disturbance feed-back”. This approach to the problem of improving the performance of these systems does not appear to have been treated extensively in the literature. Its value is demonstrated in the paper by comparing the responses of certain idealized automatic thermal regulating systems, some incorporating “disturbance feed-back”, and others with straightforward controllers.


2017 ◽  
Vol 8 (3) ◽  
Author(s):  
Д. А. Шумигай ◽  
А. П. Ладанюк ◽  
Я. В. Смітюх

Quality of the automatic control is the basis of economic effect of industrial control systems. The appropriate regulator settings should be found to improve the quality of automated control systems, but improved accuracy results in the reduction of stability margin, that’s why operators try to reduce setttings in complex systems (ie, set the "weak setting"),so the system could worke in all modes. Controller’s "low (all-mode) tuning" is the main disadvantage of existing control systems, which reduces profits. Frequent changes of plant parameters are the prime cause of low quality tuning and reduced efficiency of control systems. These changes are caused by changeable mode of plants, loop interdependence in multidimensional systems. In terms of operating the only one way is to ease settings, achieving reduction of loop interdependence, ensuring adequate stability margin in all possible modes of operation. The quality of work with such tuning is obviously worse and the profit is less. The article presents possible approaches that can increase the efficiency of automatic control systems and describes the adaptation algorithm for PI controller based on an analysis of statistical data.


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