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.

scholarly journals PLC Based Multi Starter Control using Single Control System for Induction Motor

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2515-2521
Keyword(s):  
Energy Efficiency ◽  
Control System ◽  
Control Systems ◽  
Induction Motor ◽  
Energy Efficient ◽  
Low Cost ◽  
On Line

Most customarily used motor in the industries are induction motor due to its low cost, robustness and less maintenance. The change in the existing framework is necessary in order to make the motor more efficient one. This paper cast enlightenment about the PLC based 3 phase multi-starter control induction motor with energy efficient single control system. In order to start the engine's operation by its own power, starters are used. Various starters are available to initiate the 3-phase induction motor namely Direct On-line, Star-delta, autotransformer and rotor impedance. The employment of this PLC based techniques helps to increase the energy efficiency of the motor .The employability of PLC in this system is to help in the growth of automation. The hardware and software results of the multi starter control using single control systems are analysed

‘New Lamps for Old!’ A Method to Rejuvenate Old Robots through the Use of a Simple Set of Microcontroller-Based Control Boards to Replace Outdated Control Systems

2005 ◽  
Vol 33 (4) ◽  
pp. 339-348 ◽  
Author(s):  
P. Brunn ◽  
A. W. Labib
Keyword(s):  
Control System ◽  
Control Systems ◽  
Manufacturing Systems ◽  
Low Cost ◽  
Welding Robot ◽  
Design Development ◽  
Simple Set

The paper describes the design, development, testing and use of a microcontroller- and PC-based control system which was used to repair and enhance an ASEA IRB6 welding robot in the authors' laboratory. The principles described could be applied to any robot of similar age and to provide a low-cost route to revitalise any working robot hardware that is limited by an outdated control system. The proposed approach addresses a problem within many manufacturing systems operating in industry.

Reliability analysis and safety model checking of Safety-Critical and control Systems: A case study of NPP control system

2022 ◽  
Vol 166 ◽  
pp. 108812
Author(s):  
Vinay Kumar ◽  
Kailash Chandra Mishra ◽  
Pooja Singh ◽  
Aditya Narayan Hati ◽  
Mohan Rao Mamdikar ◽  
...  
Keyword(s):  
Control System ◽  
Model Checking ◽  
Reliability Analysis ◽  
Control Systems ◽  
Safety Critical ◽  
And Control

scholarly journals Design and control of a low-cost autonomous profiling float

2020 ◽  
Vol 21 (5) ◽  
pp. 512
Author(s):  
Thomas Le Mézo ◽  
Gilles Le Maillot ◽  
Thierry Ropert ◽  
Luc Jaulin ◽  
Aurélien Ponte ◽  
...  
Keyword(s):  
Kalman Filter ◽  
State Feedback ◽  
Design Method ◽  
Low Cost ◽  
Model Parameters ◽  
Design Rules ◽  
Profiling Float ◽  
Loop Design ◽  
Depth Control ◽  
And Control

This paper presents the development made around the SeaBot, a new low-cost profiling float design for shallow water. We introduce a simplified dynamical model of the float and propose a state feedback depth controller coupled with an Extended Kalman Filter (EKF) to estimate model parameters. We show experimental results of the depth control that validate the model and the controller. We finally propose a loop design method to build low-cost floats by highlighting key design choices along with design rules.

scholarly journals Lead and lag controller design in fractional-order control systems

2019 ◽  
Vol 52 (7-8) ◽  
pp. 1017-1028
Author(s):  
Tufan Dogruer ◽  
Nusret Tan
Keyword(s):  
Control System ◽  
Control Systems ◽  
Fractional Order ◽  
Fourth Order ◽  
Controller Design ◽  
Design Method ◽  
Performance Criteria ◽  
Order System ◽  
Fractional Order Control ◽  
Minimum Error

This paper presents a controller design method using lead and lag controllers for fractional-order control systems. In the presented method, it is aimed to minimize the error in the control system and to obtain controller parameters parametrically. The error occurring in the system can be minimized by integral performance criteria. The lead and lag controllers have three parameters that need to be calculated. These parameters can be determined by the simulation model created in the Matlab environment. In this study, the fractional-order system in the model was performed using Matsuda’s fourth-order integer approximation. In the optimization model, the error is minimized by using the integral performance criteria, and the controller parameters are obtained for the minimum error values. The results show that the presented method gives good step responses for lead and lag controllers.

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