Synthesis of a quasi-optimal regulator of conveyor load of a mining company using the concept of the Pearson method
Journal Title: Вісник Житомирського державного технологічного університету. Серія: Технічні науки - Year 2018, Vol 81, Issue 1
Abstract
The use of conveyor loading control systems allows to ensure maximum energy efficiency of equipment operation. At the same time, the presence in the control loop of a link of pure delay and non-linear expression on state variables makes the procedure of constructing a control system extremely difficult. Existing regulators often do not provide the ability to regulate the load in a wide range and require readjustment when changing the operating parameters. Therefore, an important task is to implement the procedure for synthesizing a control algorithm that provides the nature of load stabilization in the presence of disturbing effects close to optimal. The article deals with the problem of analytical design of a quasi-optimal load controller that provides high accuracy of stabilization in the presence of nonlinear dependencies in the control loop. In this case, the concept of the Pearson method is used, which allows the original nonlinear synthesis problem to be replaced by a linear, solvable in each cycle of operation of the programmable logic controller of the conveyor control. Also, the application of the minimized quality functional proposed by A.A. Krasovsky made it possible to significantly simplify the procedure for finding the coefficients of the optimal regulator and to reduce the computational load on the controller. During investigation of the dynamic characteristics of the conveyor using method of numerical simulation, the comparison of the synthesized regulator with the classical control systems is done. The conclusions formulate the advantages of using a regulator synthesized by the dynamic programming method using the Pearson method concept. Also, the prospects for the further development of optimal control systems of conveyors are formulated; the features of the practical implementation of the control algorithm are shown.
Authors and Affiliations
A. V. Toropov, M. V. Pechenik, L. V. Toropova
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