Adaptive Control Scheme for Visual Servo Manipulator Based On the Dead Zone Mathematical Model

2016 ◽  
Vol 9 (9) ◽  
pp. 265-274
Author(s):  
Xiaohong Li
Keyword(s):  
Mathematical Model ◽  
Adaptive Control ◽  
Dead Zone ◽  
Visual Servo ◽  
Control Scheme ◽  
The Dead ◽  
Adaptive Control Scheme

Speed Control of Hydraulic Press via Adaptive Back-Stepping

2010 ◽  
Vol 40-41 ◽  
pp. 46-51
Author(s):  
Chang Bin Li ◽  
Ai Guo Wu ◽  
Chun Yan Du
Keyword(s):  
Mathematical Model ◽  
Adaptive Control ◽  
Speed Control ◽  
Adaptive Controller ◽  
Hydraulic Press ◽  
Speed Controller ◽  
Control Scheme ◽  
Simulation Results ◽  
The Mathematical Model ◽  
Adaptive Control Scheme

This paper is concerned with speed control of hydraulic press system. First, the mathematical model of hydraulic press is derived from its physical characteristics. Then, based on this model, the so-called back-stepping approach is used to design a speed controller. Moreover, in order to overcome the unknown deformation resistance and some other resistance, an adaptive control scheme is introduced to this controller. Finally, a real hydraulic press model is used to validate the proposed method. Simulation results show that the adaptive controller deals with the nonlinearity effectively, and the tracking performance of the system is good.

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.

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