EDMC control design for nonlinear processes with sign changes of steady state gain

A new control design method is developed to satisfy multiple specifications simultaneously. The proposed convex combination method is applied to a six (6)-degree-of-freedom commercial robot. In a trajectory tracking task under external disturbance, four requirements, stability, path accuracy, velocity accuracy, and steady-state error of position, can be met at the same time. The experimental results verify this conclusion.

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Sliding mode control design of a boost high-power-factor pre-regulator based on the quasi-steady-state approach

2001 IEEE 32nd Annual Power Electronics Specialists Conference (IEEE Cat. No.01CH37230) ◽

10.1109/pesc.2001.954238 ◽

2002 ◽

Cited By ~ 5

Author(s):

O. Lopez ◽

L.G. de Vicuna ◽

M. Castilla

Keyword(s):

Steady State ◽

Sliding Mode Control ◽

Power Factor ◽

High Power ◽

Sliding Mode ◽

Control Design ◽

Quasi Steady State ◽

Mode Control ◽

High Power Factor

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Improved EDMC for the processes with high variations and/or sign changes in steady‐state gain

COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering ◽

10.1108/03321640410510541 ◽

2004 ◽

Vol 23 (2) ◽

pp. 361-380 ◽

Cited By ~ 9

Author(s):

Mohammad Haeri

Keyword(s):

Steady State ◽

Sign Changes

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Application of an Exhaust Geometry Based Delay Prediction Model to Internal Combustion Engines

ASME 2009 Dynamic Systems and Control Conference, Volume 1 ◽

10.1115/dscc2009-2649 ◽

2009 ◽

Cited By ~ 4

Author(s):

Jason Meyer ◽

Sai S. V. Rajagopalan ◽

Shawn Midlam-Mohler ◽

Stephen Yurkovich ◽

Yann Guezennec

Keyword(s):

Steady State ◽

Internal Combustion Engines ◽

Control Design ◽

Delay Model ◽

State Delay ◽

Model Based Control ◽

Engine Model ◽

Model Based ◽

Robust Control Design ◽

Delay Prediction

All vehicle manufacturers implement an air-to-fuel ratio (AFR) control system for emissions reduction in gasoline engines. When using a model based control structure, it is vital to capture the underlying dynamics of the plant as accurately as possible, thus facilitating a robust control design that meets the emissions regulation requirements. One of the leading sources of uncertainty in the engine model is the variable plant delay. Although the delay could be modeled using a look-up table of steady-state delay values, during transients when AFR control is most important the steady-state delay poorly approximates the true delay. An exhaust geometry based delay model was developed previously within the framework of a model based control design for AFR control of stoichiometric engines. In this paper, it is shown that using this model the delay can be predicted with a significantly higher accuracy especially during transients, thus improving emissions performance. Because the plant delay plays a destabilizing role in feedback control, the utility of such a model is also to minimize phase errors between the predicted and measured equivalence ratio (EQR) in a reference tracking control setting.

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