Design of Nonlinear Model-Based Control Using Bifurcation Analysis for Solution Polymerizations Carried Out in Lumped-Distributed Reactors

2017 ◽  
Vol 12 (1) ◽  
pp. 1700028 ◽  
Author(s):  
Márcia P. Vega ◽  
Gabrielle F. M. Oliveira ◽  
Enrique L. Lima ◽  
José Carlos Pinto
Keyword(s):  
Nonlinear Model ◽  
Bifurcation Analysis ◽  
Model Based Control ◽  
Model Based

Nonlinear Model Reduction for Automotive System Descriptions

2001 ◽  
Author(s):  
Zeyu Liu ◽  
John Wagner
Keyword(s):  
Dynamic System ◽  
Model Reduction ◽  
Nonlinear Model ◽  
Order System ◽  
Control Algorithms ◽  
Model Based Control ◽  
Reduction Strategy ◽  
Nonlinear Model Reduction ◽  
Model Based ◽  
Model Free

Abstract The mathematical modeling of dynamic systems is an important task in the design, analysis, and implementation of advanced automotive control systems. Although most vehicle control algorithms tend to use model-free calibration architectures, a need exists to migrate to model-based control algorithms which offer greater operating performance. However, in many instances, the analytical descriptions are too complex for real-time powertrain and chassis model-based control algorithms. Therefore, model reduction strategies may be applied to transform the original model into a simplified lower-order form while preserving the dynamic characteristics of the original high-order system. In this paper, an empirical gramian balanced nonlinear model reduction strategy is examined for the simplification process of dynamic system descriptions. The empirical gramians may be computed using either experimental or simulation data. These gramians are then balanced and unimportant system dynamics truncated. For comparison purposes, a Taylor Series linearization will also be introduced to linearize the original nonlinear system about an equilibrium operating point and then a balanced realization linear reduction strategy will be applied. To demonstrate the functionality of each model reduction strategy, two nonlinear dynamic system models are investigated and respective transient performances compared.

Nonlinear Model-Based Control of Nonminimum-Phase Processes

1998 ◽  
pp. 115-141 ◽  
Author(s):  
Costas Kravaris ◽  
Michael Niemiec ◽  
Ridvan Berber ◽  
Coleman B. Brosilow
Keyword(s):  
Nonlinear Model ◽  
Nonminimum Phase ◽  
Model Based Control ◽  
Model Based

Parameter Identification for Model-Based Control of Hydraulically Actuated Open-Chain Manipulators

2019 ◽  
Author(s):  
Lionel Hulttinen ◽  
Janne Koivumäki ◽  
Jouni Mattila
Keyword(s):  
Parameter Identification ◽  
Nonlinear Model ◽  
A Priori ◽  
Chamber Pressure ◽  
Hydraulic Actuator ◽  
Open Chain ◽  
Model Based Control ◽  
Model Based ◽  
Inertial Parameters ◽  
Manipulator Link

Abstract In this paper, a nonlinear model-based controller with parameter identification is designed for a rigid open-chain manipulator arm actuated by servovalve-controlled hydraulic cylinders. The arising problem in adopting model-based controllers is how to acquire accurate estimates of system parameters, with limited available information about either the hydraulic actuator parameters or manipulator link inertial parameters. The objective of this study is to identify both the rigid-body parameters of the links and the hydraulic actuator parameters from collected cylinder chamber pressure and joint angle data, while no a priori knowledge of these parameters is available. Same physical plant models are used for control design as well as for parameter identification. Experimental results show that the proposed nonlinear model-based control scheme results in acceptable Cartesian position tracking performance in free-space motion when using the identified parameters.

Nonlinear model based control of a piezoelectric actuated hydraulic valve

1999 ◽  
Vol 32 (2) ◽  
pp. 964-969
Author(s):  
Roland Kasper ◽  
Joachim Schröder ◽  
Andreas Wagner
Keyword(s):  
Nonlinear Model ◽  
Model Based Control ◽  
Model Based ◽  
Hydraulic Valve
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