Abstract
For the control of dynamic systems such as an Electro-Hydraulic Actuator (EHA), there is a need to optimize the control based on simulations, since a prototype or a physical system is usually not available during system design. In consequence, no system identification can be performed. Therefore, it is unclear how well a simulation model of an EHA can be used for multicriteria optimization of the position control due to the uncertain model quality. To evaluate the suitability for control optimization, the EHA is modeled and parameterized as a grey-box model using existing parameters independent of test bench experiments. A method for multi-objective optimization of a controller is used to optimize the position control of the EHA. Finally, the step responses are compared with the test bench. The evaluation of the step responses for different loads and control parameters shows similar behavior between the simulation model and the physical system on the test bench, although the essential phenomena could not be reproduced. This means that the model quality achieved by modeling is suitable as an indication for the optimization of the control by simulation without a physical system.
Funder
Federal Ministry for Economic Affairs and Climate Action
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Optimization,Mechanical Engineering,Computer Science (miscellaneous),Control and Systems Engineering
Reference44 articles.
1. Experiments and simulations on the nonlinear control of a hydraulic servosystem;Sohl;IEEE Trans. Control Syst. Technol.,1999
2. Position control of Electro hydrostatic actuator (EHA) using a modified back stepping controller;Doan;J. Korean Soc. Fluid Power Constr. Equip.,2012
3. Kundu, S., Bhattacharjee, R., and Chaudhuri, S. (2021, January 19–20). Evaluation of Fuzzy-Logic based Position Control Strategies for an Electrohydraulic Actuation System. Proceedings of the 2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India.
4. Sliding Mode Control with Adaptive Fuzzy Dead-Zone Compensation of an Electro-hydraulic Servo-System;Bessa;J. Intell. Robot. Syst.,2010
5. Adaptive Composite Fuzzy Dynamic Surface Control for Electro-Hydraulic-System, with Variable-Supply-Pressure;Guo;Asian J. Control,2020
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献