Nonlinear Control Algorithms with Integral Action**The results in this chapter were developed in collaboration with A.G. Alatorre and S. Mondié from CINVESTAV-IPN, Mexico, and with J. Colmenares and N. Marchand from GIPSA Lab, France.

2017 ◽  
pp. 133-155
Author(s):  
Pedro Castillo-García ◽  
Laura Elena Muñoz Hernandez ◽  
Pedro García Gil
Keyword(s):  
Nonlinear Control ◽  
Control Algorithms ◽  
Integral Action

Feedback Control of Thermal Systems Modeled via the Network Approach

2004 ◽  
Vol 126 (3) ◽  
pp. 509-519 ◽  
Author(s):  
Miltiadis V. Papalexandris
Keyword(s):  
Feedback Control ◽  
Decentralized Control ◽  
Descriptor Systems ◽  
Control Algorithms ◽  
Network Approach ◽  
Thermal Systems ◽  
Numerical Tests ◽  
Integral Action ◽  
Decentralized Controllers ◽  
Zero Offset

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.

Nonlinear control algorithms and power system application

1996 ◽  
Vol 78 (2-3) ◽  
pp. 197-207 ◽  
Author(s):  
Ronald R. Mohler ◽  
Radoslaw R. Zakrzewski ◽  
Rajkumar Vedam
Keyword(s):  
Nonlinear Control ◽  
Power System ◽  
System Application ◽  
Control Algorithms

Integral-Action Nonlinear Control of Induction Motors 1

1993 ◽  
Vol 26 (2) ◽  
pp. 117-120 ◽  
Author(s):  
I. Kanellakopoulos ◽  
P.T. Krein
Keyword(s):  
Nonlinear Control ◽  
Induction Motors ◽  
Integral Action

scholarly journals Model-Based Development of Control Systems for Forestry Cranes

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Pedro La Hera ◽  
Daniel Ortíz Morales
Keyword(s):  
Control Theory ◽  
Nonlinear Control ◽  
Control Systems ◽  
Sliding Mode ◽  
Rapid Development ◽  
Experimental Tests ◽  
Control Algorithms ◽  
Advantages And Disadvantages ◽  
Model Based ◽  
Nonlinear Control Theory

Model-based methods are used in industry for prototyping concepts based on mathematical models. With our forest industry partners, we have established a model-based workflow for rapid development of motion control systems for forestry cranes. Applying this working method, we can verify control algorithms, both theoretically and practically. This paper is an example of this workflow and presents four topics related to the application of nonlinear control theory. The first topic presents the system of differential equations describing the motion dynamics. The second topic presents nonlinear control laws formulated according to sliding mode control theory. The third topic presents a procedure for model calibration and control tuning that are a prerequisite to realize experimental tests. The fourth topic presents the results of tests performed on an experimental crane specifically equipped for these tasks. Results of these studies show the advantages and disadvantages of these control algorithms, and they highlight their performance in terms of robustness and smoothness.

Sign in / Sign up

Export Citation Format

Share Document