Adaptive Decentralized Tracking Control for Nonlinear Large-Scale Systems

2020 ◽  
Vol 28 (Supp02) ◽  
pp. 93-110
Author(s):  
Karthik Chandran ◽  
Weidong Zhang ◽  
Rajalakshmi Murugesan ◽  
S. Prasanna ◽  
A. Baseera ◽  
...  
Keyword(s):  
Time Scale ◽  
Large Scale ◽  
State Feedback ◽  
Reference Model ◽  
Linear Time ◽  
State Feedback Control ◽  
Scale Model ◽  
Model Reference ◽  
Model Reference Adaptive ◽  
Decentralized Model

Decentralized Model Reference Adaptive Control problems are investigated for a class of linear time-invariant two time-scale model, having fast and slow dynamics and unmatched interconnections. Design of full state feedback controller is a critical task to the system having interrelated dynamics and nonlinear interconnections of time varying lags, however, can be addressed by singular perturbation procedures and time scale modeling. In this research, full order observer-based state feedback control is designed to two-time scale system to ensure the stability of the closed loop system. Then, decentralized model reference adaptive controller with the novel reference model is designed to individual subsystems. It is found that the proposed design enforces the system states to track the reference state asymptotically. To investigate the proposed design, an example of drying process is considered. Simulation results are analyzed to confirm the efficacy of the proposed control scheme.

A Decentralized Model Reference Adaptive Controller for Large-Scale Systems

2007 ◽  
Vol 12 (2) ◽  
pp. 154-163 ◽  
Author(s):  
Prabhakar R. Pagilla ◽  
Ramamurthy V. Dwivedula ◽  
Nilesh B. Siraskar
Keyword(s):  
Large Scale ◽  
Adaptive Controller ◽  
Model Reference ◽  
Large Scale Systems ◽  
Model Reference Adaptive ◽  
Decentralized Model

A New Model Reference Adaptive Control Using Stacked Identifiers

2012 ◽  
Vol 488-489 ◽  
pp. 1767-1771
Author(s):  
Wei Der Chung ◽  
Xiao Hu ◽  
Woon Ki Na ◽  
Hsin Pei Chen ◽  
Yun Zhi Cheng ◽  
...  
Keyword(s):  
Adaptive Control ◽  
Reference Model ◽  
Linear Time ◽  
Model Simulation ◽  
Design Method ◽  
Model Reference Adaptive Control ◽  
Primary Objective ◽  
Model Reference ◽  
Single Input Single Output ◽  
Model Reference Adaptive

Model reference adaptive control is a major design method for controlling plants with uncertain parameters. The primary objective of this paper is to develop a new design approach for the model reference adaptive control of a single-input single-output linear time-invariant plant. The proposed method, called the “Model reference adaptive control using stacked identifiers, “uses a stacked identifier structure that is new to the field of adaptive control. The goal is to make the output of the plant asymptotically track the output of the first identifier, and then driving the output of the first identifier to track that of the second identifier, and so forth, up to the q-th identifier where q is the relative degree of the plant. Lastly, the output of the q-th identifier is forced to converge to that of the reference model. Simulation results shown our paper provides a new adaptive scheme which may give a better transient performance. No state measurement of the plant is required in our method. Since the resulting control systems are nonlinear and time-varying, the stability analysis of the overall system plays a central role in developing the theory.

A DECENTRALIZED MODEL REFERENCE ADAPTIVE CONTROLLER FOR LARGE-SCALE SYSTEMS

2005 ◽  
Vol 38 (1) ◽  
pp. 112-117
Author(s):  
Prabhakar R. Pagilla ◽  
Nilesh B. Siraskar ◽  
Ramamurthy V. Dwivedula
Keyword(s):  
Large Scale ◽  
Adaptive Controller ◽  
Model Reference ◽  
Large Scale Systems ◽  
Model Reference Adaptive ◽  
Decentralized Model

Decentralized Adaptive Control of a Directly Driven Hydraulic Manipulator: Part 2: Experiment

1995 ◽  
Vol 209 (3) ◽  
pp. 197-205 ◽  
Author(s):  
F Gomes de Almeida ◽  
K A Edge
Keyword(s):  
Adaptive Control ◽  
Model Reference Adaptive Control ◽  
Model Reference ◽  
Model Following ◽  
Control Scheme ◽  
Series Of Experiments ◽  
Hydraulic Manipulator ◽  
Model Reference Adaptive ◽  
Decentralized Model ◽  
Adaptive Control Scheme

The implementation of a decentralized model reference adaptive control scheme for a two-axis robotic manipulator is described. It is shown, through an extensive series of experiments, that very good model-following performance and axis decoupling is achieved regardless of manipulator payload and working position.

High-Sideslip Model Reference Adaptive Flight Control for Aileron Locked Aircraft

2014 ◽  
Vol 651-653 ◽  
pp. 751-756
Author(s):  
Peng Fei Cheng ◽  
Cheng Fu Wu ◽  
Yue Guo
Keyword(s):  
Flight Control ◽  
Control Method ◽  
Reference Model ◽  
Sideslip Angle ◽  
Model Reference ◽  
Control Scheme ◽  
Adaptive Flight Control ◽  
Random Initialization ◽  
Model Reference Adaptive ◽  
The Given

This paper develops a high-sideslip flight control scheme based on model reference adaptive control (MRAC) to stabilize aircraft under aileron deadlock of one side. Firstly, the cascaded flight control scheme for high-sideslip straight flight is presented and how the control signals transfer is also analyzed. After that, the control structure and laws of MRAC for attitude inner-loop connected with sideslip command are designed. Finally, the control scheme is verified under a nonlinear aircraft model in conditions of no fault and one side aileron deadlock respectively. The simulation results show that when one side aileron deadlock occurs in accompany with the plant’s aerodynamic data perturbation and random initialization of controller parameters, this control method could utilize operation points of no-fault aircraft to force the faulty aircraft following the given reference model responses and finally tracking given sideslip angle command without static error robustly.

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