A unified framework for LQ and H/sub ∞/ preview control algorithms

Author(s):  
L. Mianzo ◽  
Huei Peng
2006 ◽  
Vol 129 (2) ◽  
pp. 144-153 ◽  
Author(s):  
Andrzej W. Ordys ◽  
Masayoshi Tomizuka ◽  
Michael J. Grimble

The paper discusses state-space generalized predictive control and the preview control algorithms. The optimization procedure used in the derivation of predictive control algorithms is considered. The performance index associated with the generalized predictive controller (GPC) is examined and compared with the linear quadratic (LQ) optimal control formulation used in preview control. A new performance index and consequently a new algorithm is proposed dynamic performance predictive controller (DPPC) that combines the features of both GPC and preview controller. This algorithm minimizes the performance index through a dynamic optimization. A simple example illustrates the features of the three algorithms and prompts a discussion on what is actually minimized in predictive control. The DPPC algorithm, derived in this paper, provides for a minimum of the predictive performance index. The differences and similarities between the preview control and the predictive control have been discussed and optimization approach of predictive control has been explained.


2011 ◽  
Vol 64 (4) ◽  
Author(s):  
Sofie E. Leon ◽  
Glaucio H. Paulino ◽  
Anderson Pereira ◽  
Ivan F. M. Menezes ◽  
Eduardo N. Lages

Nonlinear problems are prevalent in structural and continuum mechanics, and there is high demand for computational tools to solve these problems. Despite efforts to develop efficient and effective algorithms, one single algorithm may not be capable of solving any and all nonlinear problems. A brief review of recent nonlinear solution techniques is first presented. Emphasis, however, is placed on the review of load, displacement, arc length, work, generalized displacement, and orthogonal residual control algorithms, which are unified into a single framework. Each of these solution schemes differs in the use of a constraint equation for the incremental-iterative procedure. The governing finite element equations and constraint equation for each solution scheme are combined into a single matrix equation, which characterizes the unified approach. This conceptual model leads naturally to an effective object-oriented implementation. Within the unified framework, the strengths and weaknesses of the various solution schemes are examined through numerical examples.


1999 ◽  
Vol 121 (3) ◽  
pp. 365-369 ◽  
Author(s):  
Lawrence Mianzo ◽  
Huei Peng

A framework for solving both the continuous and discrete-time LQ and H∞ preview control algorithms is presented in this paper. The tracking control of an automotive durability test rig is used as an application example. Simulation results are presented to illustrate the effectiveness of the preview control algorithms.


Author(s):  
A.V. Bialevich ◽  
◽  
V.N. Grishchuk ◽  
M.M. Tatur ◽  
Y.F. Mikhalkevich ◽  
...  

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