New pole assignment algorithm with reduced norm feedback matrix

1988 ◽  
Vol 135 (2) ◽  
pp. 111 ◽  
Author(s):  
R.G. Cameron
Keyword(s):  
Pole Assignment ◽  
Assignment Algorithm ◽  
Feedback Matrix ◽  
Reduced Norm

The Steady State Precision Control of DC Servo Motor Based on State Space Adaptive Pole Assignment

2013 ◽  
Vol 345 ◽  
pp. 68-71
Author(s):  
Jin Huang ◽  
Ji Feng Wang ◽  
Cheng Zhi Yang
Keyword(s):  
Steady State ◽  
State Space ◽  
Pole Assignment ◽  
Feedback Gain ◽  
Servo Motor ◽  
Precision Control ◽  
Control Precision ◽  
Assignment Algorithm ◽  
Feedback Matrix ◽  
Steady State Control

In this paper, the steady state precision control based on state space adaptive pole assignment is proposed in order to improve the steady state control precision of DC servo motor. The basic idea is to adaptively adjust the feedback gain matrix, and realize online, estimates of the feedback matrix and steady-state error compensation. Thus the adaptive state space pole assignment algorithm is obtained to overcome the friction effects on motor performance. Matlab simulation results show that this control algorithm can realize the online estimation and compensation for steady state precision of DC servo motor, and it is able to quickly and accurately follow the speed of the motor. The system has better dynamic and steady-state performance, and its characteristic of the closed-loop system robustness is stronger.

A robust periodic pole assignment algorithm

1995 ◽  
Vol 40 (5) ◽  
pp. 890-894 ◽  
Author(s):  
S. Longhi ◽  
R. Zulli
Keyword(s):  
Pole Assignment ◽  
Assignment Algorithm

An Iterative Adaptive Pole Assignment Algorithm

1990 ◽  
Vol 23 (8) ◽  
pp. 433-436
Author(s):  
Cishen Zhang ◽  
R.J. Evans
Keyword(s):  
Pole Assignment ◽  
Assignment Algorithm

A Pole-Assignment Controller for an Electrohydraulic Cylinder Drive

1985 ◽  
Vol 107 (2) ◽  
pp. 145-150 ◽  
Author(s):  
J. M. Finney ◽  
A. de Pennington ◽  
M. S. Bloor ◽  
G. S. Gill
Keyword(s):  
Sampling Rate ◽  
Pole Assignment ◽  
Controller Synthesis ◽  
Model Parameters ◽  
Practical Application ◽  
Assignment Algorithm ◽  
Self Tuning ◽  
Novel Method ◽  
Experimental Rig ◽  
Square Root Filter

This paper is concerned with the practical application of self-tuning control to an electrohydraulic cylinder drive. The experimental drive studied had a dominant natural frequency of 19 Hz and consequently to achieve the fast sampling rate a novel method of controller implementation is required. Estimates of the model parameters are obtained by a square root filter and controller synthesis is achieved by a pole-assignment algorithm. The results presented were generated by an experimental rig under the control of a DEC LSI 11/23 microprocessor.

Pole assignment with minimum eigenvalue differential sensitivity

1997 ◽  
Vol 211 (1) ◽  
pp. 63-74 ◽  
Author(s):  
J Lam ◽  
H K Tam
Keyword(s):  
Closed Loop ◽  
Gradient Flow ◽  
Computational Procedure ◽  
Pole Assignment ◽  
Open Loop ◽  
Differential Sensitivity ◽  
Input Matrix ◽  
State Matrix ◽  
Feedback Matrix ◽  
Flow Minimization

This paper introduces a set of mathematical formulae for calculating the eigenvalue differential sensitivities of the closed-loop state matrix with respect to the open-loop state matrix, input matrix and state feedback matrix. It provides a computational procedure for a robust pole assignment problem. The algorithm is based on a gradient flow minimization of a differentiate objective function which measures the sensitivity for all closed-loop poles. Two numerical examples are employed to illustrate the technique. Comparisons to other existing methods are made as well.

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