NONLINEAR CONTROL METHOD OF ELECTROMECHANICAL ACTUATOR USING GENETIC ALGORITHM
International Journal of Mechatronics and Applied Mechanics · 2020
Objective: To study the nonlinear control method of electromechanical actuation system (EMA) based on genetic algorithm (GA) and improve the efficiency of EMA system.Methods: Based on the summary of previous research results and research methods, the nonlinear characteristics of the electric actuator were discussed.Taking the electric actuator as the research object, the nonlinear characteristics that may appear in each part of the electric actuator were comprehensively considered, such as friction and gear gap.According to this analysis, the nonlinear characteristics of each part of the electric actuator were comprehensively studied.The nonlinear characteristics of different parts of the electric actuator were different, and the nonlinear characteristics of different positions were different by Mathlab / Simulink simulation.Results: (1) because the nonlinear characteristics of the gap and friction part have a relatively large impact on the electric actuator, the dead zone of the gap and friction part should not be higher than 2.0% of the input signal; (2) if there is no dead zone component in the gap, the equivalent stiffness of the transmission structure should not be lower than 1Nm/ rad; (3) it is difficult to trace the nonlinear characteristics caused by friction, so it should be avoided as much as possible.Conclusion: the study provides important research data for the exploration of nonlinear characteristics of electric actuator system.