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
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;
Conference_Titel :
Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
Conference_Location :
Ramanathapuram
Print_ISBN :
978-1-4799-3913-8
DOI :
10.1109/ICACCCT.2014.7019468