Feedback Control Algorithms Developed for Continuous Processes

Author(s):  
Yi Yang ◽  
Xi Chen ◽  
Ningyun Lu ◽  
Furong Gao
2004 ◽  
Vol 126 (3) ◽  
pp. 509-519 ◽  
Author(s):  
Miltiadis V. Papalexandris

This article reports on feedback control algorithms for thermal systems modeled via the network approach. These networks belong to the class of descriptor systems. They are subject to nondecaying disturbances and, therefore, integral action is required for zero offset. The article includes the derivation of optimal integral controllers for general linear descriptor systems and a detailed study on decentralized control for thermal networks. Feasibility of decentralized control is established via two theorems regarding stability and decentralized integral controllability of thermal networks. Additionally, a particular strategy for the synthesis of decentralized controllers is proposed. This article concludes with a sample of the numerical tests that we performed to demonstrate the efficiency of the proposed algorithms.


2004 ◽  
Vol 81 (5) ◽  
pp. 537-546 ◽  
Author(s):  
T. A. Tsiligiridis ◽  
M. P. Bekakos† ◽  
D. J. Evans‡

2018 ◽  
Vol 5 (4) ◽  
pp. 10-16
Author(s):  
Pham Huy Thoa

  In order to investigate different position control algorithms for numerical controlled machines and robots, a positional control system was built on the base of  a microcomputer. In part I, the paper presents the  observer algorithm for  state variable estimation and the state variable feedback control algorithm applied to the position control of a  particular machine-table. With the hardware and software structure of the microcomputer based digital system described in this paper different control algorithms can be  realized flexibly. The position control problem for the plant with variations or  uncertainties of  parameters and load characteristics will be reported in part II.


2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Vyacheslav Maksimov

<p style='text-indent:20px;'>The problems of designing feedback control algorithms for parabolic and hyperbolic variational inequalities are considered. These algorithms should preserve given properties of solutions of inequalities under the action of unknown disturbances. Solving algorithms that are stable with respect to informational noises are constructed. The algorithms are based on the method of extremal shift well-known in the theory of guaranteed control.</p>


Author(s):  
Roger Skjetne ◽  
Mikkel E. N. Sørensen ◽  
Morten Breivik ◽  
Svenn A. T. Værnø ◽  
Astrid H. Brodtkorb ◽  
...  

In order to validate relevant dynamic positioning (DP) control algorithms in a realistic environment, a full-scale DP test campaign, the AMOS DP Research Cruise 2016 (ADPRC’16), was organized in a collaboration between the NTNU Centre for Autonomous Marine Operations and Systems (NTNU AMOS) and the company Kongsberg Maritime onboard the research vessel (R/V) Gunnerus. To the authors’ best knowledge, closed-loop DP feedback control algorithms have never been tested full-scale on a ship in an academic research experiment before. However, we have now achieved this by coding our algorithms into a test-module of the DP system, as prepared by Kongsberg Maritime. Among the tested algorithms is an output feedback control law with both good transient and steady-state performance. In another experiment, different adaptive backstepping control laws for DP were tested to compare and contrast their performance and properties. A hybrid state observer with a performance monitoring function proposed to switch between two observers, choosing the best one at any time instant, was also part of the test scope. For this, necessary measurements (including acceleration measurements) were logged to be able to rerun and validate the observer algorithms in post-processing. Finally, several experiments were done to test a pseudo-derivative feedback control law for DP. The feedback mechanism was tested with and without a feedforward disturbance rejection term, called acceleration feedforward. This paper reports the experimental setup, test program, and an overview of results from the ADPRC’16 campaign.


Sign in / Sign up

Export Citation Format

Share Document