An analytical approach is proposed for the predictive control of technical condition of complex automated electric drive systems using forecasting, which makes it possible to increase the efficiency of maintenance and repair systems implementation based on the actual state. Based on the utilization coefficient use, a condition prediction efficiency criterion is proposed that provides reliable information on the state of AC electric drives in on-line mode. A method for preventive decision making for predicting failures of various automated electric drive systems based on the Bayesian approach has been developed. The proposed method has been tested on synchronous machines of the STD-12500-2 type, which operate as drive electric motors for gas-pumping units at linear compressor stations of the main gas transport.

Optimal principles of energy efficient management of natural gas transport using electric drive units along gas pipelines based on the existing regulatory and technical documentation are considered. The methodologi-cal basis of the control principles is the apparatus of the theory of experiment planning and invariant systems using strategies of low-population technologies and intelligent electric drive systems. The scheme and modern technical means of frequency-controlled electric drives and algorithms for optimal control of the main techno-logical units of compressor stations of the main gas transportation are presented, which ensure the stabiliza-tion of the parameters of the pumped gas at the optimal level.

The control system algorithms for the technical condition of complex automated electric drive systems using forecast-ing are presented, which make it possible to increase the efficiency of the maintenance systems implementation. Ap-proaches to forecasting the state of the driving synchronous electric motors of technological installations as discrete stochastic systems that provide reliable information on the state in an on-line mode have been considered. A logical-probabilistic diagnostic model of the decision-making system on the need for technical diagnostics procedures has been formed. The proposed method has been tested on synchronous machines of the STD-12500-2 type, which operate as drive electric motors for gas-pumping units at linear compressor stations of the main gas transport.