Design and Implementation of L-PID and IO-PID Controllers for Twin Rotor MIMO System

2019 ◽  
Author(s):  
Sudarshan K. Valluru ◽  
Rajul Kumar ◽  
Rahul Kumar
Keyword(s):  
Mimo System ◽  
Pid Controllers ◽  
Design And Implementation ◽  
Twin Rotor Mimo System ◽  
Twin Rotor

scholarly journals A Multivariable Twin-Rotor System Control Design

2021 ◽  
Vol 11 (1) ◽  
pp. 6626-6631
Author(s):  
E. Pathan ◽  
M. H. Khan ◽  
M. K. Aslam ◽  
M. Asad ◽  
H. Arshad ◽  
...  
Keyword(s):  
Real Time ◽  
Pid Controller ◽  
Mimo System ◽  
Multivariable Control ◽  
Pid Controllers ◽  
System Control ◽  
System A ◽  
Non Linear System ◽  
Twin Rotor Mimo System ◽  
Twin Rotor

This paper presents the design of a Multi-Input Multi-Output (MIMO) PID controller for a twin-rotor MIMO system. A multivariable control system consisting of two loops is designed for a non-linear system with two inputs and two outputs. The designed controllers have been tested on a simulated model with different possibilities and real-time results were taken. The designed PID controller efficiently controls the loops of the system and does not suffer from any process interactions. The results indicate that the performance of the PID controllers is excellent and both the transient and the steady-state enactment are adequate. The yaw and pitch rotor’s real-time responses are almost the same as the desired ones.

scholarly journals H∞BASEDOBSERVER FOR DISTURBANCE COMPENSATION IN DECOUPLED TRMS USING LMI OPTIMIZATION

2014 ◽  
pp. 213-218
Author(s):  
LEKSHMI S ◽  
JEEVAMMA JACOB
Keyword(s):  
Disturbance Rejection ◽  
Control Method ◽  
Mimo System ◽  
Cost Effective ◽  
Laboratory Model ◽  
Disturbance Compensation ◽  
Lmi Optimization ◽  
Twin Rotor Mimo System ◽  
Model Inverse ◽  
Twin Rotor

Twin Rotor MIMO System is a laboratory model of helicopter. In this paper, the problem of disturbance rejection in TRMS is dealt with. Using disturbance observers, without any additional sensors is an attractive method to attenuate the effects of disturbances as they are highly cost effective. This method uses a simple form of DOBs, which does not need to solve the plant model inverse, and uses H∞control method using LMIs to design the Q-filter in the DOB. The estimation capability of DOB is verified using simulation results in frequency domain as well as in time domain.

Sign in / Sign up

Export Citation Format

Share Document