scholarly journals ALGORITHM FOR OPTIMAL CONTROL THE DIGITAL TWIN OF THE ENTERPRISE

Author(s):  
S.N. Masaev
Keyword(s):  
2020 ◽  
Vol 329 ◽  
pp. 03071
Author(s):  
Sergei Trefilov

This paper presents a digital twin of a mechatronic drive based on a brushless DC (BLDC) motor model based on a nonlinear discrete optimal control model. Some parameters of a BLDC motor, such as resistance and inductance of windings, magnetic flux, viscous friction coefficient in bearings, angular velocity and electromagnetic moment, can change due to both degradation of structural elements and external forces. Simulation by a complete enumeration of the values of the parameters of the mechatronic device with a certain step will make it possible to adapt the program of the control device to changing operating conditions according to the criterion of minimizing the control energy by changing the parameters of the state matrices and control of the digital twin. As a result, the accuracy of the movement of the mechatronic device along the given trajectory will increase due to the greater correspondence of the control parameters to the real object.


Author(s):  
S.N. Masaev ◽  

The enterprise is presented as a digital twin of interrelated production processes, support processes and administrative processes. A semantic indicator for a general assessment of the state of the system at different points in time is given. The semantic indicator is applied to assess the optimal control by Kalman filter. The obtained estimates of optimal control make it possible to take into account the resources consumed by the processes in the past periods. The obtained optimal control can be used with other control methods through control and observation matrices. Estimates of the optimal ratio of values are obtained: the amount of the resource in the system, the method of attracting the resource, the execution time of the method, the computational complexity of the method.


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