scholarly journals Simultaneous Optimum Design of Structure and Control System using Complex Method.

1993 ◽  
Vol 59 (563) ◽  
pp. 2124-2131 ◽  
Author(s):  
Itsurou Kajiwara ◽  
Kazuaki Tsujioka ◽  
Akio Nagamatsu
Keyword(s):  
Control System ◽  
Optimum Design ◽  
Complex Method ◽  
And Control

Integrated Optimum Design of Structure and Control System by Modal Analysis

1995 ◽  
Author(s):  
I. Kajiwara ◽  
K. Tsujioka ◽  
A. Nagamatsu
Keyword(s):  
Control System ◽  
Modal Analysis ◽  
Optimum Design ◽  
Complex Method ◽  
Control Cost ◽  
Natural Modes ◽  
Design Variables ◽  
Optimal Regulator ◽  
The Stability ◽  
And Control

Abstract An approach for integrated optimum design of structure and control system is presented based on modal analysis. This approach consists of two process, namely the process by sensitivity analysis using optimal regulator theory and the process by the complex method in which a control system is composed of a small-order output feedback. In both processes, the design variables of the structural and the control parameters are optimized simultaneously in order to minimize the response due to disturbances of both white noise and colored noise. The integrated optimum design is performed by minimizing the objective function with respect to the response under the constraints of the control cost and the stability of the closed-loop system corresponding to high order natural modes. The validity and the usefulness of the present approach are verified by a vibration control experiment with a steel plate.

Simultaneously Satisfying Multi-Objective Design of Structural and Control Systems Based on Consideration of Uncertainty by Set-Based Approach

2018 ◽  
Author(s):  
Haruo Ishikawa ◽  
Naoko Sasaki
Keyword(s):  
Control System ◽  
Control Systems ◽  
Optimum Design ◽  
Design Method ◽  
Low Cost ◽  
Influence Factors ◽  
Mathematical Optimization ◽  
Design Stage ◽  
Set Based Design ◽  
And Control

The simultaneous optimum design for structural and control systems is very important to realize better performance, short lead time and low cost in the development of product. Previous researches on the simultaneous optimum design of these systems are mainly based on mathematical optimization or coupled computation by CAE which are based on point-based iterative calculation. On the other hand, it is general and essential that the required performances and the influence factors for them have some kinds of uncertainty especially in the initial design stage of structural design and uncertainty arising from the difference of real structural (mechanical) and mathematical models in the control system. In this research, for the expression of uncertainty, we use set-based method rather than point-based for processing these uncertainties. Also, generally, the design of the system has often multi-performances, whether structural system or control system. Then, how effective the set-based design method is to solve the simultaneous design problem is investigated, using simple examples of classical control and modern control. As a result, it is found that the applicability of the set-based design method is shown.

An Approach to Simultaneous Optimum Design of Structure and Control Systems by Sensitivity Analysis

1991 ◽  
Author(s):  
I. Kajiwara ◽  
A. Nagamatsu
Keyword(s):  
Sensitivity Analysis ◽  
Control System ◽  
Feedback Control ◽  
Optimum Design ◽  
Model Simulation ◽  
Zero Point ◽  
Control Force ◽  
Feedback Control System ◽  
Design Variables ◽  
And Control

Abstract An approach is proposed for simultaneous optimum design of a structure and feedback control system by sensitivity analysis for the following two purposes. One is to decrease both the response and the control force of the system under a white noise disturbance force. The other is to modify the gain, the pole and the zero-point to the desirable values. The weighting constant of the feedback control system, and mass, stiffness, shape, dimension, etc. of the structure are adopted simultaneously as the design variables. The proposed method is verified by a model simulation.

Development of a Jacobian Module for Advanced Pulp and Paper Simulation and Control

TAPPI Journal ◽  
2009 ◽  
Vol 8 (1) ◽  
pp. 4-11
Author(s):  
MOHAMED CHBEL ◽  
LUC LAPERRIÈRE
Keyword(s):  
Control System ◽  
Nonlinear Behavior ◽  
Simulation Software ◽  
Pulp And Paper ◽  
Pid Controllers ◽  
Tuning Parameters ◽  
Pid Tuning ◽  
Fixed Set ◽  
And Control ◽  
Operating Points

Pulp and paper processes frequently present nonlinear behavior, which means that process dynam-ics change with the operating points. These nonlinearities can challenge process control. PID controllers are the most popular controllers because they are simple and robust. However, a fixed set of PID tuning parameters is gen-erally not sufficient to optimize control of the process. Problems related to nonlinearities such as sluggish or oscilla-tory response can arise in different operating regions. Gain scheduling is a potential solution. In processes with mul-tiple control objectives, the control strategy must further evaluate loop interactions to decide on the pairing of manipulated and controlled variables that minimize the effect of such interactions and hence, optimize controller’s performance and stability. Using the CADSIM Plus™ commercial simulation software, we developed a Jacobian sim-ulation module that enables automatic bumps on the manipulated variables to calculate process gains at different operating points. These gains can be used in controller tuning. The module also enables the control system designer to evaluate loop interactions in a multivariable control system by calculating the Relative Gain Array (RGA) matrix, of which the Jacobian is an essential part.

Еlectric Drive and Control System of Flying saw of electricweld item

2015 ◽  
Vol 19 (95) ◽  
pp. 50-53
Author(s):  
Aleksej A. Kravcov ◽  
◽  
Leonid G. Limonov ◽  
Valerij V. Sinelnikov ◽  
Stanislav V. Potapov
Keyword(s):  
Control System ◽  
Drive And Control ◽  
And Control
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