The Application of the Artificial Immune System for Design, Development and Using of the Hybrid System in Education

2021 ◽  
pp. 67-75
Author(s):  
Irina Astachova ◽  
Ekaterina Kiseleva
Keyword(s):  
Immune System ◽  
Hybrid System ◽  
Artificial Immune System ◽  
Design Development ◽  
Artificial Immune

Immunity-Based Abnormal Condition Accommodation of Aircraft Sub-System Failures

2014 ◽  
Author(s):  
Adil Togayev ◽  
Mario G. Perhinschi ◽  
Dia Al Azzawi ◽  
Hever Moncayo ◽  
Israel Moguel ◽  
...  
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
Time Windows ◽  
Flight Simulation ◽  
The Self ◽  
Design Development ◽  
Artificial Immune ◽  
System Failures ◽  
Simulation Testing ◽  
System States

This paper describes the design, development, and flight-simulation testing of an artificial immune-system-based approach for accommodation of different aircraft sub-system failures/damages. The accommodation of abnormal flight conditions is regarded as part of a complex integrated artificial immune system scheme, which consists of four major components: detection, identification, evaluation, and accommodation. The accommodation part consists of providing compensatory commands under upset conditions for specific maneuvers. The approach is based on building an artificial memory, which represents the self (nominal conditions) and the non-self (abnormal conditions) within the artificial immune system paradigm. Self and non-self are structured as a set of memory cells consisting of measurement strings, over pre-defined time windows. Each string is a set of features values at each sample time of the flight including pilot inputs, system states, and other variables. The accommodation algorithm is based on the cell in the memory that is the most similar to the in-coming measurement. Once the best match is found, control commands corresponding to this match will be extracted from the memory and used for control purposes. The proposed methodology is illustrated through simulation of simple maneuvers at nominal flight conditions and under locked actuator. The results demonstrate the possibility of extracting pilot compensatory commands from the self/non-self structure and capability of the artificial-immune-system-based scheme to accommodate an actuator malfunction, maintain control, and complete the task.

scholarly journals Immunity-based accommodation of aircraft subsystem failures

2017 ◽  
Vol 89 (1) ◽  
pp. 164-175 ◽  
Author(s):  
Adil Togayev ◽  
Mario Perhinschi ◽  
Hever Moncayo ◽  
Dia Al Azzawi ◽  
Andres Perez
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
Research Effort ◽  
Time Windows ◽  
Flight Simulation ◽  
Design Development ◽  
Artificial Immune ◽  
Content Type ◽  
Simulation Testing ◽  
System Paradigm

Purpose This paper aims to describe the design, development and flight-simulation testing of an artificial immune-system-based approach for accommodation of different aircraft sub-system failures/damages. Design/methodology/approach The approach is based on building an artificial memory, which represents self- (nominal conditions) and non-self (abnormal conditions) within the artificial immune system paradigm. Self- and non-self are structured as a set of memory cells consisting of measurement strings, over pre-defined time windows. Each string is a set of features values at each sample time of the flight. The accommodation algorithm is based on the cell in the memory that is the most similar to the in-coming measurement. Once the best match is found, control commands corresponding to this match are extracted from the memory and used for control purposes. Findings The results demonstrate the possibility of extracting pilot compensatory commands from the self/non-self structure and capability of the artificial-immune-system-based scheme to accommodate an actuator malfunction, maintain control and complete the task. Research limitations/implications This paper concentrates on investigation of the possibility of extracting compensatory pilot commands. This is a preliminary step toward a more comprehensive solution to the aircraft abnormal condition accommodation problem. Practical implications The results demonstrate the effectiveness of the proposed approach using a motion-based flight simulator for actuator and sensor failures. Originality/value This research effort is focused on investigating the use of the artificial immune system paradigm for control purposes based on a novel methodology.

scholarly journals Artificial Immune System analysis on Route Construction distribution of gas cylinders using the AINet Algorithm

2021 ◽  
Vol 1842 (1) ◽  
pp. 012001
Author(s):  
Chairun Nas ◽  
Nursaka Putra ◽  
Yeyi Gusla Nengsih ◽  
Ilwan Syafrinal
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
System Analysis ◽  
Artificial Immune ◽  
Gas Cylinders

Improved pattern recognition with complex artificial immune system

2009 ◽  
Vol 13 (12) ◽  
pp. 1209-1217 ◽  
Author(s):  
Wei Wang ◽  
Shangce Gao ◽  
Zheng Tang
Keyword(s):  
Pattern Recognition ◽  
Immune System ◽  
Artificial Immune System ◽  
Artificial Immune
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