Economic growth opportunities and the country’s role in the global economy are directly dependent on the use of advanced technologies in industry. Mechanical engineering, and especially the reproduction equipment sector, is a basic industry that creates a wealthy nation and a country’s influence in the international market. The leading economic powers have already entered the period of the sixth technological order related to the development of micromechanics, thermonuclear and renewable energy, membrane and quantum technologies, nanotechnologies and others. In Russia at the moment, despite the measures of state support, the engineering industry is in deep decline. Major shifts in state support are needed to close this technological gap. However, enterprises themselves need to strengthen their work to improve management efficiency. The most promising method is to use a process approach, while its implementation should not be limited to documenting procedures. After all, business modeling is just a way of displaying the current and projected processes of an enterprise to improve its performance. The platform for the successful implementation of the process approach should be called the development of a business model, which should include a comprehensive analysis of the enterprise’s activities, market conditions, industry and technology development trends.

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The article describes the development of an automated control system for electric drives, which includes a doubly fed induction motor, a digital position sensor and National Instruments equipment, represented by the PXI modular platform and LabVIEW software. The features of the interaction of software and hardware of the electric drive control system are considered. During operation, the system uses various levels of interaction of virtual instruments within one project. Thus, the use of virtual instruments of the project occurs at the level of the personal computer of the workplace, controller and the module with a programmable logic integrated circuit. The method of using a dynamically connected library for the calculation of parameters and state variables of the electric drive in real time is presented.