Device for the Experimental Determination of Control Objects' Mathematical Models

2013 ◽  
Vol 650 ◽  
pp. 493-497 ◽  
Author(s):  
Valerij I. Goncharov ◽  
Vadim A. Onufriev ◽  
Ilya O. Ilyin
Keyword(s):  
Control Systems ◽  
Computer Technology ◽  
Interpolation Method ◽  
Facilities Management ◽  
Operational Conditions ◽  
Automatic Control Systems ◽  
Interpolation Procedure ◽  
Real Interpolation Method ◽  
Inverse Problems Of Dynamics

Authors review methods of determining a plant’s mathematical model. Then, they show a numerical method of pulse automatic control systems’ (ACS) identification, focused on computer technology, the interpolation procedure and iterative methods of approximation to the desired solution. The basis of the approach is the method of inverse problems of dynamics and real interpolation method for calculating the linearized dynamical systems. An algorithm and the mobile device designed for the identification of facilities management in operational conditions are proposed. There is results’ application in the conclusion.

Getting the Mathematical Models of Automatic Control Systems with Non-Uniform Sampling Period

2014 ◽  
Vol 536-537 ◽  
pp. 1244-1250
Author(s):  
Valery Goncharov ◽  
Andrey Liepinsh ◽  
Vadim Onufriev
Keyword(s):  
Control Systems ◽  
Characteristic Property ◽  
Interpolation Method ◽  
Sampling Period ◽  
Step Response ◽  
Acceptable Result ◽  
Uniform Sampling ◽  
Automatic Control Systems ◽  
Real Interpolation Method ◽  
Non Uniform Sampling

The authors consider problem of an accurate system identification and reproduction of control objects output signal. Also, this paper offers a solution of a control objects transfer function determining task by its step response using the Real interpolation method. An ability of using non-uniform sampling period is a characteristic property of this approach. Numeric examples are shown. Also, an ability of more than half of signal samples omitting with, however, acceptable result is shown.

scholarly journals Determination of all stability region of unstable fractional order system in case of bearing system

2019 ◽  
Vol 10 (4) ◽  
pp. 1734
Author(s):  
Van-Duc Phan ◽  
Phu Tran Tin ◽  
Nguyen Quang Dung ◽  
Minh Tran ◽  
Tran Thanh Trang
Keyword(s):  
Fractional Order ◽  
Pid Controller ◽  
Decomposition Method ◽  
Interpolation Method ◽  
Fractional Order System ◽  
Stable Region ◽  
Order System ◽  
Real Interpolation Method ◽  
Bearing System

In this paper, we propose and investigate the optimal tuning PID controller of unstable fractional order system by desired transient characteristics using the real interpolation method (RIM). The research shows that the main advantages of this method are drawn as the followings: 1) Carrying out an investigation of the stable region of coefficients of a PID controller using D-decomposition method; 2) Applying the method to investigate an unstable fractional order system.

AUTOMATIC DETERMINATION OF THE PARTIALLY FILLED TANK VEHICLE COMBINATION BRAKING MODE

2020 ◽  
Vol 264 (4) ◽  
pp. 33-39
Author(s):  
Volodymyr Sakhno ◽  
◽  
Denis Popelysh ◽  
Sergyi Tomchuk ◽  
◽  
...  
Keyword(s):  
Control Systems ◽  
Critical Points ◽  
Automatic Identification ◽  
Loss Of Stability ◽  
Negative Consequences ◽  
Supporting Surface ◽  
Automatic Control Systems ◽  
Vehicle Acceleration ◽  
Axle Loads

The article considers the possibility of identification by automatic control systems of the braking mode of a vehicle combination with a partially filled tank. The algorithms of operation of modern vehicle stabilization systems are based on a reaction to approaching critical points of loss of stability, while the forces with which a fluid acts in a partially filled tank on a vehicle sometimes have a rapid rise when the speed or direction changes, which leads to a decrease in the efficiency of such systems. Automatic identification of the braking mode with a partially filled tank can make it possible to predict the negative consequences of fluid flow and carry out preventive manipulations to stabilize the vehicle until it actually approaches critical points of loss of stability. To solve the problem, a comparative analysis of changes in the magnitude of the normal reaction of the supporting surface on the axis of the vehicle combination during braking with a partially filled tank semi-trailer and an equivalent rigidly fixed load was carried out. Such an analysis showed that in the case of transportation of rigid cargo, the load on the axles of the vehicle combination varies linearly and in proportion to deceleration. In the case of a partially filled tank, the axle load varies non-linearly due to the trigonometric nature of the fluid movement relative to the tank. This feature allows you to distinguish between these modes. As a result, it was proposed to use an identifier that can detect the braking mode of a vehicle combination with a partially filled tank by determining the nature of the changes in axle loads. To calculate the identifier, the axle loads and vehicle acceleration over time are used, and data on the design features of the vehicle combination are not required. Keywords: vehicle combination, tank vehicle, partially filled tank, stability, braking.

DETERMINATION OF THE JUICE EVAPORATION MATHEMATICAL MODELS EFFICIENCY FOR AUTOMATED PROCESS CONTROL SYSTEMS

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
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Keyword(s):  
Process Control ◽  
Mathematical Models ◽  
Control Systems ◽  
Process Control Systems ◽  
Automated Process
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