scholarly journals Adaptive Neuron-Like Control of Time-Delay Systems Enhanced with Feedforward and Supervisory Strategies

2013 ◽  
Vol 2013 ◽  
pp. 1-5
Author(s):  
Yau-Zen Chang ◽  
Jung-Fu Hou ◽  
Zhi-Ren Tsai
Keyword(s):  
Adaptive Control ◽  
Design Procedure ◽  
Delay Systems ◽  
Temperature Control System ◽  
Significant Delay ◽  
Control Scheme ◽  
Delay Effects ◽  
Practical Temperature ◽  
Adaptive Neuron ◽  
Control Part

Tracking control of nonlinear systems with significant delay effects has been the focus of intensive research. In this paper, we propose an effective supervised adaptive control scheme to tackle the problem. The scheme is composed of an adaptive control part of two neuron-like models with delay effects and a supervisory control part to enhance robustness against disturbance and model uncertainties. A design methodology based on the Lyapunov analysis is presented. Experimental results obtained from a practical temperature control system show that not only is the design procedure conceptually simple but also the control performance is also excellent when compared with the traditional PD controller. Also, the feedforward term is able to provide extra improvement in the regulation performance.

Adaptive control scheme for uncertain time-delay systems

Automatica ◽  
2012 ◽  
Vol 48 (8) ◽  
pp. 1536-1552 ◽  
Author(s):  
Delphine Bresch-Pietri ◽  
Jonathan Chauvin ◽  
Nicolas Petit
Keyword(s):  
Adaptive Control ◽  
Time Delay ◽  
Delay Systems ◽  
Time Delay Systems ◽  
Control Scheme ◽  
Uncertain Time ◽  
Adaptive Control Scheme

scholarly journals Non-Recursive Adaptive Control Design Methodology for Nonlinear Systems With Mismatched Time-Varying Disturbances

2021 ◽  
Author(s):  
Xin Dong ◽  
Zhang Chuanlin ◽  
Chenggang Cui
Keyword(s):  
Adaptive Control ◽  
Stability Analysis ◽  
Nonlinear Systems ◽  
Sliding Mode ◽  
Design Procedure ◽  
Control Design ◽  
Original System ◽  
Time Varying ◽  
Transient Time ◽  
Control Scheme

Abstract This paper proposes a non-recursive adaptive control scheme for a class of lower-triangular nonlinear systems with mismatched time-varying disturbances. As a result, an exact tracking control scheme is constructed straightforwardly from the system in a novel non-recursive synthesis manner. Firstly, with the help of higher-order sliding mode observer (HOSMO), the original system is delicately transformed into an equivalent stabilizable system. Then, a non-recursive stabilizer with a simple update mechanism for the dynamic gain can be derived. Subsequently, a rigorous stability analysis shows the theoretical justification of the proposed design framework. New characteristics of the proposed algorithm are mainly twofold: 1) The proposed adaption mechanism could substantially adjust the transient-time performance with the presence of different levels of disturbances. 2) The composite control design procedure is essentially detached with stability analysis, which could largely facilitate practical implementations.

Adaptive Control Scheme for Coupled Tank Process

2018 ◽  
pp. 89-95
Author(s):  
Vinodhini M.
Keyword(s):  
Adaptive Control ◽  
Nonlinear Behaviour ◽  
Simulation Studies ◽  
Input Output ◽  
Control Scheme ◽  
Direct Model ◽  
Multivariable Process ◽  
Model Reference Adaptive ◽  
Siso System ◽  
Adaptive Control Scheme

The objective of this paper is to develop a Direct Model Reference Adaptive Control (DMRAC) algorithm for a MIMO process by extending the MIT rule adopted for a SISO system. The controller thus developed is implemented on Laboratory interacting coupled tank process through simulation. This can be regarded as the relevant process control in petrol and chemical industries. These industries involve controlling the liquid level and the flow rate in the presence of nonlinearity and disturbance which justifies the use of adaptive techniques such as DMRAC control scheme. For this purpose, mathematical models are obtained for each of the input-output combinations using white box approach and the respective controllers are developed. A detailed analysis on the performance of the chosen process with these controllers is carried out. Simulation studies reveal the effectiveness of proposed controller for multivariable process that exhibits nonlinear behaviour.

Sign in / Sign up

Export Citation Format

Share Document