Hydraulic position servos with an asymmetrical cylinder are commonly used in industry. These kinds of systems are nonlinear in nature and generally difficult to control. Because of parameters changing during extending and retracting, using constant gain will cause overshoot, poor performance or even loss of system stability. The highly nonlinear behaviour of these devices makes them ideal subjects for applying different types of sophisticated controllers. This paper is concerned with a second order adaptive model reference and an artificial neural network controller to position tracking of a servo hydraulic with a flexible load. In present study, a neural network with two outputs is presented. One of the outputs of neural network is used for system’s dynamic compensator and another one for gain scheduling controller. To avoid the local minimum problem, Differential Evolution Algorithm (DEA) is used to find the weights and biases of neural network. The proposed controller is verified with a common used p-controller. The simulation and experimental results suggest that if the neural network is chosen and trained well, it improves all performance evaluation criteria such as stability, fast response, and accurate reference model tracking in servo hydraulic systems.
Skip Nav Destination
ASME 8th Biennial Conference on Engineering Systems Design and Analysis
July 4–7, 2006
Torino, Italy
ISBN:
0-7918-4250-9
PROCEEDINGS PAPER
Simulation and Experimental Study in Position Control of Servo Hydraulic System With Flexible Load Using Adaptive Neural Network and Differential Evolution Strategy Available to Purchase
Hassan Yousefi,
Hassan Yousefi
Lappeenranta University of Technology, Lappeenranta, Finland
Search for other works by this author on:
Heikki Handroos
Heikki Handroos
Lappeenranta University of Technology, Lappeenranta, Finland
Search for other works by this author on:
Hassan Yousefi
Lappeenranta University of Technology, Lappeenranta, Finland
Heikki Handroos
Lappeenranta University of Technology, Lappeenranta, Finland
Paper No:
ESDA2006-95527, pp. 393-402; 10 pages
Published Online:
September 5, 2008
Citation
Yousefi, H, & Handroos, H. "Simulation and Experimental Study in Position Control of Servo Hydraulic System With Flexible Load Using Adaptive Neural Network and Differential Evolution Strategy." Proceedings of the ASME 8th Biennial Conference on Engineering Systems Design and Analysis. Volume 3: Dynamic Systems and Controls, Symposium on Design and Analysis of Advanced Structures, and Tribology. Torino, Italy. July 4–7, 2006. pp. 393-402. ASME. https://doi.org/10.1115/ESDA2006-95527
Download citation file:
9
Views
Related Proceedings Papers
Related Articles
Adaptive Position Control of an Electrohydraulic Servo System With Load Disturbance Rejection and Friction Compensation
J. Dyn. Sys., Meas., Control (November,2011)
Servo Pneumatic Position Control Using Fuzzy PID Gain Scheduling
J. Dyn. Sys., Meas., Control (June,2004)
Optimization-Driven Controller Design for a High-Performance Electro-Hydrostatic Asymmetric Actuator Operating in All Quadrants
J. Dyn. Sys., Meas., Control (September,2021)
Related Chapters
Servo System Position Control of Honing Machine Based on Fuzzy Control
International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3
Why Use GD&T?
Geometric Dimensioning and Tolerancing Handbook: Applications, Analysis & Measurement
An Adaptive Fuzzy Control for a Multi-Degree-of-Freedom System
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17