Open AccessData-Driven Neuroendocrine-PID Controller Design for Twin Rotor MIMO System
Author(s) -
Mohd Riduwan Ghazali,
Mohd Ashraf Ahmad,
Raja Mohd Taufika Raja Ismail
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1529/4/042080
Subject(s) - pid controller , control theory (sociology) , computer science , control engineering , open loop controller , robustness (evolution) , mimo , control system , engineering , control (management) , closed loop , artificial intelligence , temperature control , biology , computer network , biochemistry , channel (broadcasting) , electrical engineering , gene
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.