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PID controller tuning using multi-objective optimization based on fused Genetic-Immune algorithm and Immune feedback mechanism

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3 Author(s)
Maryam Khoie ; South Tehran Branch, Islamic Azad University Tehran, Iran ; Ali Khaki Sedigh ; Karim Salahshoor

In this paper, a Genetic-AIS (Artificial Immune System) algorithm is introduced for PID (Proportional-Integral-Derivative) controller tuning using a multi-objective optimization framework. This hybrid Genetic-AIS technique is faster and accurate compared to each individual Genetic or AIS approach. The auto-tuned PID algorithm is then fused in an Immune feedback law based on a nonlinear proportional gain to realize a new PID controller. Immune algorithm presents a promising scheme due to its interesting features such as diversity, distributed computation, adaptation and self monitoring. Accordingly, this leads to a more effective Immune-based tuning than the conventional PID tuning schemes benefiting a multi-objective optimization prospective. Integration of Genetic-AIS algorithm with Immune feedback mechanism results into a robust PID controller which is ultimately evaluated via simulation control test scenarios to demonstrate quick response, good robustness, and satisfactory overshoot and disturbance rejection characteristics.

Published in:

2011 IEEE International Conference on Mechatronics and Automation

Date of Conference:

7-10 Aug. 2011