Parametric optimization of workflow processes of magnetorheological drive systems

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The article describes the optimization option of workflow processes of magnetorheological drive systems, which apply the combined method of implementing regulation. Considered impact of flow helicity on flow characteristics of combined magnetodynamic device is a good qualitative and quantitative characteristic of eddy currents. At availability of differential electromagnetic control units, it is advisable the use of multiphase control algorithm and regulation of hydraulic resistance in working area of magnetorheological devices. Algorithm is carried out under depending on rate of changes in characteristics of electromagnetic field and frequency of differential electromagnetic control unit elements. Significant improvement in the dynamics and increase in the depth of regulation of magnetorheological drive systems is achieved by optimizing the parameters of the control electromagnetic field, it is obviously. Therefore, the direction of parametric optimization of the workflow in this work is chosen the frequency phase principle. Rationalization of parameter values is based on described numerical model of workflow of combined magnetodynamic device. Numerical simulation results illustrate the rationality of chosen optimization approach and prove the adequacy of the model, efficiency and good dynamics of combined control method in magnetorheological drive systems. Results of numerical simulations show also, that the rate of change in flow helicity values is a good measure of velocity parameters’ dynamics of vortex motion of magnetorheological fluid flow in working cavities. The expediency of modeling the control signal in the form of a sine wave for magnetorheological and magnetodynamic devices is justified. Way to achieve the stability of flow rate and dynamics of magnetorheological and magnetodynamic devices with differential electromagnetic control units is demonstrated.

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Combined magnetodynamic device, dynamics of magnetorheological drive systems

Короткий адрес: https://sciup.org/147231758

IDR: 147231758   |   DOI: 10.14529/engin190405

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