Research on Sliding Mode-PID Composite Control Optimization of Electro-Hydrostatic Actuator

DOI

10.2991/amcce-18.2018.157How to use a DOI?

Keywords

Electro-Hydrostatic Actuator; Sliding mode control; PID control; Control parameter tuning; Adaptive genetic algorithm

Abstract

Electro-Hydrostatic Actuator (EHA) has developed rapidly in airborne flight control systems due to its compact structure, high energy efficiency and easy control. However, because of the strong nonlinearity of EHA system and external uncertainties, simple PID control cannot achieve the ideal control requirements. This paper proposes a composite control system that controls the actuator cylinder position with sliding mode and motor speed with PID. Sliding-mode position controller structure is designed, and an adaptive genetic algorithm is used to optimize the composite control parameters. The simulation results show that the optimized sliding mode-PID composite control can eliminate the overshoot, suppress the external interference and achieve the precise control of EHA position.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jing Li
AU  - Hui Hong
AU  - Donghua Xin
PY  - 2018/05
DA  - 2018/05
TI  - Research on Sliding Mode-PID Composite Control Optimization of Electro-Hydrostatic Actuator
BT  - Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SP  - 893
EP  - 898
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.157
DO  - 10.2991/amcce-18.2018.157
ID  - Li2018/05
ER  -