Robust adaptive control of electromechanical systems with improved dynamic performances and energy efficiency

The theory of analysis and synthesis of adaptive electromechanical systems with vector-controlled electrical motors is developed and generalized. Proposed theory allows synthesizing automatic control systems with the properties of robustness to electrical motor parameters variations, thereby improving their dynamic performances and efficiency. Methods for robust adaptive estimation of immeasurable coordinates and identification of unknown parameters of electromechanical converters are developed. A method for adaptive control of a parallel active filter is developed, which is the extension of the proposed theory application to a class of semiconductor converters with voltage source inverters that connected to three-phase supply network. Electromechanical systems that are synthesized using the developed methods have stable dynamic performances (at the nominal level) and energy efficiency of the electromechanical energy conversion process under papameters variation conditions. In systems with vector-controlled induction motors, this allows to reduce (up to two times) the active losses in the most critical modes of operation. Developed control method with loss minimization in the induction motor provides high performance asymptotic torque trajectory tracking with simultaneous active loss minimization in the steady-state operating modes, which increases the system efficiency at low loads.