Paper Info
Title
A Biologically-Inspired Intelligent Controller For Distributed Velocity Control Of Multiple Electro-Hydraulic Servo-Systems
Abstract
In this paper, the problem of distributed velocity control of multiple Electro-Hydraulic Servo-Systems (EHSS) in presence of uncertain flow nonlinearities, internal frictions and noises is investigated. A biologically-inspired intelligent controller based on a computational model of emotional learning inspired from mammalian limbic system is presented. This methodology, called as Brain Emotional Learning Based Intelligent Controller (BELBIC), enhances the distributed velocity control of multiple EHSS by adding multi-objective properties. Combining the reinforcement learning capabilities of BELBIC with distributed velocity control of multiple EHSS, makes it a very promising method, especially while dealing with uncertain flow nonlinearities, internal frictions and noises and system uncertainties. Furthermore, the developed methodology is suitable for real-time implementation due to its low computational complexity and reinforcement learning capabilities. Eventually, the effectiveness of the developed biologically-inspired intelligent approach is demonstrated through numerical simulation of distributed velocity control of multiple EHSS.
Year
Venue
Field
2017
2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI)
BELBIC,Control theory,Computer simulation,Computer science,Social emotional learning,Flow (psychology),Control engineering,Servomechanism,Reinforcement learning,Computational complexity theory
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Mohammad Jafari1326.11
Hao Xu2194.19