scholarly journals IMPROVEMENT OF THE PERFORMANCE ON PNEUMATIC SERVO TYPE ACTIVE SUSPENSION USING SIMULTANEOUS OPTIMUM DESIGN METHOD OF STRUCTURAL AND CONTROL SYSTEMS

1999 ◽  
Vol 1999 (4) ◽  
pp. 395-400
Author(s):  
Michio NAKAMURA ◽  
Hisashi MATSUSHITA ◽  
Shujiro DOHTA
Keyword(s):  
Control Systems ◽  
Optimum Design ◽  
Design Method ◽  
Active Suspension ◽  
And Control

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.

Design of Digital Control Systems by Nonlinear Uncertain Objects

2021 ◽  
Vol 64 (3) ◽  
pp. 68-74
Author(s):  
Vladimir Elsukov ◽  
◽  
Anatoly Gaiduk ◽  
Vjacheslav Lachin ◽  
Alexandr Muzhenko ◽  
...  
Keyword(s):  
Control Systems ◽  
Digital Control ◽  
Design Method ◽  
State Variables ◽  
Automatic Control Systems ◽  
Digital Devices ◽  
Digital Control Systems ◽  
And Control ◽  
Controllability And Observability ◽  
Asymptotic Observers

Minimum-phase nonlinear objects in the conditions of incomplete information about state variables and nonlinearities of the objects are considered. The design method of the digital automatic control systems in the conditions of uncertainty is offered. The decision is received with application of the asymptotic observers and control on state and impact under conditions of full controllability and observability of the controlled objects. This control provides the necessary performance of the control systems. The digital devices algorithm of digital control system is received by sampling of the found control. The efficiency of the developed method is shown on the numerical example. The developed method can be applied to design of digital control systems of production and technological objects of various assignment.

scholarly journals Performance Indices Evaluation of Cascade Controller Tuning Method Based on Soft Oscillation Index

2020 ◽  
pp. 324-330
Author(s):  
Vu Thu Diep ◽  
◽  
Phan Duy Hung
Keyword(s):  
Control Systems ◽  
Controller Design ◽  
Design Method ◽  
Stability Margin ◽  
Industrial Plant ◽  
Performance Indices ◽  
Physical Processes ◽  
Tuning Method ◽  
Tuning Methods ◽  
And Control

Control systems act as the nervous system for an industrial plant as they provide sensing, analysis, and control of various physical processes. Tuning them is the art of selecting values so that the controllers will be able to eliminate an error quickly and precisely to ensure the process variables stay within a pre-determined stability margin. That can be a painstaking process as it depends on the architecture of the control system and the controller design method. This paper describes a cascade-controller design based on soft oscillation index, with details for tuning them on the basis of stability margin. Using the same stability margin, this work provides analytical comparisons of performance indices in comparison with other well-known tuning methods.

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