scholarly journals Design and performance comparison of different adaptive control schemes for pitch angle control in a twin – rotor – MIMO – system

2019 ◽  
Vol 9 (5) ◽  
pp. 4114 ◽  
Author(s):  
Winston Netto ◽  
Rohan Lakhani ◽  
S. Meenatchi Sundaram
Keyword(s):  
Adaptive Control ◽  
Mimo System ◽  
Cross Coupling ◽  
Performance Comparison ◽  
Superior Performance ◽  
Main Rotor ◽  
Adaptive Schemes ◽  
Non Linear ◽  
Twin Rotor Mimo System ◽  
Twin Rotor

The Twin Rotor MIMO System is a higher order non-linear plant and is inherently unstable due to cross coupling between tail and main rotor. In this paper only the control of main rotor is considered which is non-linear and stable by using adaptive schemes. The control problem is to achieve perfect tracking for input reference signals while maintaining robustness and stability. Four adaptive schemes were implemented, two using Model Reference Adaptive Control under which MIT rule and Modified MIT rule are used. The other two using Adaptive Interaction, namely, Adaptive PID and Approximate Adaptive PID. It is observed that adaptive schemes fulfill all the three system performance requirements at the same time. Modified MIT rule was found to give superior performance in comparison to other controllers. Also Approximate Adaptive PID was able to stabilize the main rotor and cancel the effect of cross coupling between tail rotor and main rotor when operating simultaneously without the need for designing decouplers for the system. Thus the main rotor can be made independent from the state of the tail rotor by using Approximate Adaptive PID.

ADAPTIVE CONTROL OF TWIN ROTOR MIMO SYSTEM: POLYNOMIAL APPROACH

2005 ◽  
Vol 38 (1) ◽  
pp. 892-897
Author(s):  
Marek KubalĈík ◽  
Vladimír Bobál ◽  
Petr Chalupa
Keyword(s):  
Adaptive Control ◽  
Mimo System ◽  
Twin Rotor Mimo System ◽  
Twin Rotor

Adaptive Active Force Control Application to Twin Rotor Mimo System

2013 ◽  
Vol 393 ◽  
pp. 688-693 ◽  
Author(s):  
Hanif Ramli ◽  
Wahyu Kuntjoro ◽  
M.S. Meon ◽  
K.M Asraf K. Ishak
Keyword(s):  
Force Control ◽  
Control Algorithm ◽  
Mimo System ◽  
Active Force ◽  
Optimum Control ◽  
Active Force Control ◽  
Non Linear ◽  
Artificial Neural Network Ann ◽  
Twin Rotor Mimo System ◽  
Twin Rotor

This paper reports a current study on modeling and simulation of adaptive Active Force Control (AFC) based scheme embedded with an artificial neural network (ANN) and/or fuzzy logic (FL) in response manipulations of the twin rotor multi-input multi-output (MIMO) system (TRMS). TRMS is well known for its non-linear behaviour and common classical control scheme such as Proportional-Integral-Derivative (PID) would not be adequate to compensate disturbances. The disturbances in this case were as the results of non-linear external and internal parametric changes, namely angular momentum and couple reactions between the two axes of TRMS. The adaptive control algorithm was proposed in both pitch and yaw to generate an optimum control gain for both responses, simulated viz. MATLAB/SIMULINK software Package. The ANN and FL were integrated into the scheme and act as optimum control algorithm in catalyzing the performance of the TRMS. The results from hybrid conditions of PID-AFC, PID-AFC-ANN and PID-AFC-FL respectively were observed and analyzed. From performance evaluation, PID-AFC-FL scheme has demonstrated a potentially robust and effective manipulating capability in trajectory tracking.

Optimal Quantitative H_2 Controller Design for Twin Rotor MIMO System

2020 ◽  
Vol 38 (12A) ◽  
pp. 1880-1894
Author(s):  
Mustafa K. Khreabet ◽  
Hazem I. Ali
Keyword(s):  
Control Algorithm ◽  
Controller Design ◽  
Mimo System ◽  
Cross Coupling ◽  
Optimization Methods ◽  
Control Approach ◽  
Optimal Values ◽  
Frequency Domain Techniques ◽  
Twin Rotor Mimo System ◽  
Twin Rotor

In this paper, the  control approach is used for achieving the desired performance and stability of the twin-rotor MIMO system. This system is considered one of the complex multiple inputs of multiple-output systems. The complexity because of the high nonlinearity, significant cross-coupling and parameter uncertainty makes the control of such systems is a very challenging task. The dynamic of the Twin Rotor MIMO System (TRMS) is the same as that in helicopters in many aspects. The Quantitative Feedback Theory (QFT) controller is added to the  control to enhance the control algorithm and to satisfy a more desirable performance. QFT is one of the frequency domain techniques that is used to achieve a desirable robust control in presence of system parameters variation. Therefore, a combination between  control and QFT is presented in this paper to give a new efficient control algorithm. On the other hand, to obtain the optimal values of the controller parameters, Particle Swarm Optimization (PSO) which is one of the powerful optimization methods is used. The results show that the proposed quantitative  control can achieve more desirable performance in comparison to  control especially in attenuating the cross-coupling and eliminating the steady-state error.

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