Parametrical optimization of regulators and state observers in electromechanical systems
Background: The article deals with automatic control systems (ACS) based on the regulators with state observers for electromechanical objects, which are synthesized with the modal control or optimization procedures. The application of optimization methods makes it possible to satisfy a whole complex of requirements for system quality. However, this raises a problem of optimization criteria formation, as well as a problem of convergence of the extremum search procedures. Therefore, it seems reasonable to develop complex methods of designing regulators with state observers combining the principles of modal control and optimal control, based on direct indicators of ACS quality. Materials and methods: The study employed methods of state space, modal control, numerical optimization algorithms, and simulation of dynamic systems in MatLab 7.1. Results: A method of parametric optimization of systems with regulators and state observers has been developed based on the variation of characteristic polynomial roots of the control system as well as the application of complex optimization criteria which include the main control quality indicators. By using an electromechanical system with regulators with state observers as an example, it is shown that the optimized system has a low noise sensitivity, parametric robustness and specific dynamic characteristics. Conclusions: The proposed method of parametric optimization of systems with state observers, combining the principles of modal and optimal control, is an effective and universal tool for achieving a compromise between the main indicators of control quality in the process the ACS design. 1 Rabota vypolnena pri finansovoi podderzhke Ministerstva obrazovaniia i nauki RF v ramkakh bazovoi chasti Gosudarstvennogo zadaniia na 2016 g. <Vestnik IGEU> Vyp. 2 2016 g. FGBOUVO <Ivanovskii gosudarstvennyi energeticheskii universitet imeni V.I. Lenina> 2