A three-loop model-following control structure: theory and implementation

2009 ◽  
Vol 83 (1) ◽  
pp. 97-104 ◽  
Author(s):  
R. Osypiuk ◽  
T. Kröger
Robotica ◽  
2005 ◽  
Vol 23 (4) ◽  
pp. 491-499 ◽  
Author(s):  
Rafael Osypiuk ◽  
Bernd Finkemeyer ◽  
Friedrich M. Wahl

Most nonlinear control concepts used in robotics are based on a more or less accurate inverse model of the robot. In contrast to this, the design and properties of a general $n$-loop control structure based on a divided forward model of the robot, the so-called multi-loop Model Following Control Structure ($n$-MFC), is presented in this paper. Its theoretical basics and its concept are explained. The stability and robustness of the proposed control structure is analyzed. The theoretical assumptions are verified in many experiments with a two-joint robot manipulator. Qualitative as well as quantitative results of the experiments are presented and discussed.


2017 ◽  
Vol 65 (4) ◽  
pp. 489-496 ◽  
Author(s):  
K. Urbanski

AbstractIn the paper a new sensorless control structure for the PMSM drive is presented. Such a structure is especially recommended for speed in the range of single revolutions per second (excluding standstill). The method uses a back EMF observer for position estimation. However, there is no need to estimate the speed. This is a big advantage because of possible irregularity of estimated back EMF in this speed range, which makes the calculation of speed difficult or impossible. The proposed structure is similar to the model following control, but the reference model attempts to track the motor operating point. The main idea is to utilize as a reference a model of the whole drive, including speed and current controllers and motor model. Such a model produces reference voltage for the real inverter. However, an extra unit – called rotator – is needed to provide precise control of direct axis current, which is sensitive to the improper position of the voltage vector. The rotator acts as a kind of compensator for error of position estimation.


2011 ◽  
Vol 180 ◽  
pp. 3-10
Author(s):  
Jerzy Brzózka

Abstract. Linearization methods of the object: input-state and input-output linearization are used usually in a standard feedback control system. However, these systems are sensitive to the changes of nonlinear characteristics of the plant. These changes can be compensated in two types of control systems: in the model following control (MFC) and adaptive. The article presents the first solution and contains: miscellaneous structures of linear control systems with model following, brief description of the linearization’s methods, simulation example of the course control of vessel and the advantages of this solution.


Author(s):  
J. S. Fang ◽  
Sheng-Hong Tsai ◽  
Jun-Juh Yan ◽  
P. L. Chen ◽  
Shu-Mei Guo

Sign in / Sign up

Export Citation Format

Share Document