• 1
  • 2
  • 5
  • 6
  • 3
  • 4

“School of Cognitive Sciences”

Back to Papers Home
Back to Papers of School of Cognitive Sciences

Paper   IPM / Cognitive Sciences / 7526
School of Cognitive Sciences
  Title:   Applying BELBIC (Brain Emotion Learning Based Intelligent Controller) to an Auto landing System
1.  C. Lucas
2.  S. Moghimi
  Status:   In Proceedings
  Proceeding: WSEAS AIKED'03
  Year:  2003
  Supported by:  IPM
During landing, aircrafts have to face low-altitude wind shear that can be fatal. Most commercial aircrafts currently have optimal automatic landing systems, but they are activated only if well-specified wind speed limitation are met. The reason is that these autolanding systems are not designed to work in the presence of strong with gusts. In this paper, we apply a modified version of brain emotional learning based intelligent controller (BELBIC) to the autolanding system whose multivariable and non-minimum phase nature make the task difficult. By comparing the results with the results derived from using a high gain controller, we show that our proposed solution can achieve robust and satisfactory performance.

Download TeX format
back to top
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
scroll left or right