Brain Emotional Learning Based Intelligent Controller for Velocity Control of an Electro Hydraulic Servo System
Journal Title: IOSR Journals (IOSR Journal of Electrical and Electronics Engineering) - Year 2017, Vol 12, Issue 4
Abstract
In this paper, a biologically motivated controller based on mammalian limbic system called Brain Emotional Learning Based Intelligent Controller (BELBIC) is used for velocity control of an Electro Hydraulic Servo System (EHSS) in presence of flow nonlinearities, internal friction and noise. It is shown that this technique can be successfully used to stabilize any chosen operating point of the system with noise and without noise. All derived results are validated by computer simulation of a nonlinear mathematical model of the system. The controllers which introduced have big range for control the system. We compare BELBIC controller results with feedbacks linearization, backstepping and PID controller.
Authors and Affiliations
Zohreh Alzahra Sanai Dashti, Milad Gholami, Masoud Hajimani
Keywords
Related Articles
- EP ID EP388220
- DOI 10.9790/1676-1204022935.
- Views 157
- Downloads 0
Branding Strategy in Fact Segment Global and Indian Perspective
In a global economy subject to changing dynamics and ever increasing competition, the role of brands has never been greater. They serve as a route map for purchasing behaviour and when managed well, are able to accrue si...
Performance Evaluation of Wide Band Channel At 900 MHz Using Lee Model
In this paper, deterministic model using a Lee model developed for use at 900MHz and has two modes which is also used to characterize a wide band propagation channel in terms of received signal strength from which we com...
An Endeavor of Frequency Regulation by Free Governor Mode of Operation in Bangladesh Power System
For satisfactory, secured and economic operation of a power system, the frequency should remain nearly constant. The only way to maintain system frequency within an acceptable range is to make balance between generation...
Grid Monitoring using Solar SCADA Dataset
Grid is framed as a planned nationwide network that makes use of information so as to deliver electricity in an efficient, reliable and secure manner. This entire electrical system is very difficult to monitor because an...
Application of Root Mean Square and Adaptive NeuroFuzzyInference Systemfor Power Quality Events Classification Using Electricaland Electronics Home Appliances as Case Study
The proliferation of sensitive equipment and non-linear loads atbothindustrial and domestic environment is extremely higher nowadays. This invariably contributes immensely topower quality issues on electric power system...