Synthesis Algorithm for Control System with Saturated Actuator
Author(s):
Iuliia Sergeevna Zaitceva
Ph.D., Researcher of Laboratory for Control
of Complex Systems, Institute for Problems in Mechanical Engineering, RAS (IPME RAS),
Researcher of Department of Applied Cybernetics, Faculty of Mathematics and Mechanics,
St. Petersburg State University (St. Petersburg State University),
Associate Professor of Department of Automatic Control Systems, St.Petersburg Electrotechnical University В«LETIВ»
juliazaytsev@gmail.com
Boris Rostislavich Andrievsky
Doctor of Technical Sciences, Leading Researcher, Laboratory for Control
of Complex Systems, Institute for Problems in Mechanical Engineering, RAS (IPME RAS),
Principal Researcher,
Department of Applied Cybernetics, Faculty of Mathematics and Mechanics,
St. Petersburg State University (St. Petersburg State University)
boris.andrievsky@gmail.com
Nikolay Vladimirovich Kuznetsov
Doctor of Physical and Mathematical Sciences, Head of the Department
of Applied Cybernetics, St. Petersburg State University,
Head of the Laboratory of Information and Control Systems of the Institute
for Problems of Mechanical Engineering of the Russian Academy of Sciences (IPME RAS)
nkuznetsov239@mail.ru
Abstract:
The paper presents a generalized algorithm for designing closed optimal systems with a dynamic controller and a nonlinear actuator. The purpose of the proposed algorithm is to identify the area of system performance degradation, manifested as unintentional oscillations, due to the influence of actuator nonlinearity and reduce this area. The algorithm is implemented using a heuristic search algorithm and the method of sequential nonlinear correction. The results of the algorithm operation are shown on the PI control system of the angular plant motion with a saturated actuator. Simulation of the system with various input parameters showed the possibility of fluctuations in the system output. The numerical analysis results of the nonlinear system are presented in the form of exponential diagrams of the performance error, covering all input parameters.
Keywords
- controller tuning
- generalized sensitivity function
- heuristic search algorithm
- nonlinearity compensation
- numerical analysis
- optimization
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