DocumentCode
238307
Title
Multi variable self tuning PID control of a Twin Rotor MIMO system
Author
Sahu, Pradeep ; Pradhan, Santanu Kumar
Author_Institution
Dept. of Electr. & Electron. Eng., Birla Inst. of Technol., Ranchi, India
fYear
2014
fDate
8-10 May 2014
Firstpage
381
Lastpage
385
Abstract
An attempt is being made to design a new multivariable self tuning PID (Proportional-Integral-Derivative) controller (STC) for pitch angle and yaw angle control of the main and tail rotor of the Twin Rotor MIMO System (TRMS) under parametric uncertainty and external disturbance. The PID parameters are updated in real time based on relationship between PID and minimum variance control (MVC). The TRMS model is identified based on an on-line auto regressive moving average (ARMAX) model whose parameters are tuned by a recursive least square (RLS) algorithm. The results obtained show superiority of the proposed controller with respect to a fixed gain PID controller under external disturbances.
Keywords
MIMO systems; autoregressive moving average processes; control system synthesis; helicopters; least mean squares methods; multivariable control systems; three-term control; ARMAX; MVC; RLS; STC; TRMS; external disturbances; fixed gain PID controller; minimum variance control; multivariable self tuning PID control; multivariable self tuning PID controller design; on-line auto regressive moving average model; pitch angle; proportional-integral-derivative controller; recursive least square algorithm; tail rotor; twin rotor MIMO system; yaw angle control; Adaptation models; Equations; Helicopters; Mathematical model; Rotors; Torque; Transmission line measurements; ARMAX; MVC; RLS; Self tuning PID; TRMS;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
Conference_Location
Ramanathapuram
Print_ISBN
978-1-4799-3913-8
Type
conf
DOI
10.1109/ICACCCT.2014.7019468
Filename
7019468
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