Data-Driven Neuroendocrine-PID Controller Design for Twin Rotor MIMO System

This paper presents the design of a data-driven neuroendocrine-PID controller based on adaptive safe experimentation dynamics (ASED) method for a twin-rotor MIMO system (TRMS). Neuroendocrine-PID is deemed a compatible controller, often due to its biological-inspired mechanism from a human's en...

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Bibliographic Details
Published in:Journal of physics. Conference series 2020-04, Vol.1529 (4), p.42080
Main Authors: Ghazali, M.R., Ahmad, M.A., Raja Ismail, R.M.T.
Format: Article
Language:English
Subjects:
Control systems design
Controllers
Experimentation
Game theory
Parameters
Proportional integral derivative
Robust control
Rotors
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Summary:This paper presents the design of a data-driven neuroendocrine-PID controller based on adaptive safe experimentation dynamics (ASED) method for a twin-rotor MIMO system (TRMS). Neuroendocrine-PID is deemed a compatible controller, often due to its biological-inspired mechanism from a human's endocrine system that promotes control effectiveness and accuracy. In assessing the robustness of the proposed controller, its parameters were optimized through the ASED method, by tracking both error and input control performances. In particular, the ASED method is a game-theoretic method that randomly perturbs several elements of its controller parameters to search for the optimal controller parameters. Comparison was further made alongside performance of a standard PID controller. Following the simulation conducted, findings with regards to total norm error and total norm input have hereby suggested neuroendocrine-PID as a better controller, following a 13.2% improvement in control accuracy to that of a standard PID controller for TRMS system.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1529/4/042080