Analysis and Design of Repetitive Control Systems Using the Regeneration Spectrum

1991 ◽  
Vol 113 (2) ◽  
pp. 216-222 ◽  
Author(s):  
K. Srinivasan ◽  
F.-R. Shaw
Keyword(s):  
Control System ◽  
System Design ◽  
Control Systems ◽  
Repetitive Control ◽  
Characteristic Root ◽  
Rational Approach ◽  
Control System Design ◽  
Analysis And Design ◽  
Sensitivity Functions ◽  
Insight Into

The absolute and relative stability of continuous-time SISO repetitive control systems is examined here using a function of frequency termed the regeneration spectrum. The regeneration spectrum is easily computed and is related to important features of the characteristic root distribution of such systems, for large values of the time delay. The regeneration spectrum is combined with other frequency domain measures of control system performance such as the sensitivity and complementary sensitivity functions to obtain improved insight into the tradeoffs in repetitive control system design. The result is a more rational approach to repetitive control system design and is illustrated by an example.

Object-Based Interactive Control System Design and Analysis

2003 ◽  
Author(s):  
Yong Zhu ◽  
Bo Chen ◽  
Harry H. Cheng
Keyword(s):  
Control System ◽  
System Design ◽  
Three Dimensional ◽  
Control System Design ◽  
Interactive Control ◽  
Analysis And Design ◽  
Modeling Analysis ◽  
Object Based ◽  
Practical Engineering ◽  
Numerical Computing

Ch is an embeddable C/C++ interpreter. It was developed to allow software developers to use one language, anywhere and everywhere, for any programming task. Ch supports C99, a latest C standard ratified in 1999, and contains salient features for two and three dimensional plotting and numerical computing for applications in engineering and science. Developed in Ch, Ch Control System Toolkit provides a control class with member functions for object-based interactive modeling, analysis, and design of control systems. The software package has been widely used in industry to solve practical engineering problems and in universities for instructional improvement. The design and implementation of Ch Control System Toolkit are described in this paper. An application example of control system design and analysis using Ch Control System Toolkit demonstrates its power and simplicity.

Control Systems for the Next Century’s Fighter Engines

1992 ◽  
Vol 114 (4) ◽  
pp. 749-754 ◽  
Author(s):  
C. A. Skira ◽  
M. Agnello
Keyword(s):  
Control System ◽  
System Design ◽  
Control Systems ◽  
Engine Performance ◽  
Control System Design ◽  
Development Phase ◽  
Hardware Configuration ◽  
Propulsion Control ◽  
Technology Capability ◽  
Advanced Development

The paper describes a conceptual control system design based on advanced technologies currently in the exploratory development phase, and, in some cases, emerging into the advanced development phase. It explores future propulsion control systems that focus on improvements in three areas: (1) significantly reducing control system weight; (2) enhancing engine performance (thrust, sfc, etc.); and (3) improving control system reliability and tolerance to high-threat environments (temperature, vibration, EMI, EMP, etc.). The factors that will influence the design and hardware configuration of future propulsion control systems are described. Design goals for future systems, based on the DOD/NASA IHPTET Initiative, and projections of emerging technology capability (and availability) form the basis for future propulsion control system design requirements and for estimating future hardware configurations.

Design Analysis of Electrical Control System for the Gear Teaching Simulator

2014 ◽  
Vol 602-605 ◽  
pp. 1481-1484
Author(s):  
Miao Shang ◽  
Guo Min Lin ◽  
Wen Guang Zhang ◽  
Fei Zhou
Keyword(s):  
Control System ◽  
System Design ◽  
Control Systems ◽  
Performance Indicators ◽  
Design Analysis ◽  
Control System Design ◽  
Electrical Control ◽  
Operating Variables ◽  
Technical Performance ◽  
Electric Control

Through the analysis of technical performance indicators of the gear teaching simulator, main technical indexes and design goals of electric control system are proposed; Scheme of electrical control system is analyzed; Control systems, controlled variables, operating variables and detection devices are selected. For the realization of electric control system design of the gear teaching simulator, improving the performance of the gear teaching simulator, it has an important guiding significance.

scholarly journals An Object-Based Software Package for Interactive Control System Design and Analysis

2003 ◽  
Vol 3 (4) ◽  
pp. 366-371 ◽  
Author(s):  
Yong Zhu ◽  
Bo Chen ◽  
Harry H. Cheng
Keyword(s):  
Control System ◽  
System Design ◽  
Software Package ◽  
Linear Time ◽  
Three Dimensional ◽  
Control System Design ◽  
Interactive Control ◽  
Analysis And Design ◽  
Object Based ◽  
Numerical Computing

Ch is an embeddable C/C++ interpreter. It was developed to allow software developers to use one language, anywhere and everywhere, for any programming task. Ch supports C99, a latest C standard ratified in 1999, and contains salient features for two and three dimensional plotting and numerical computing for applications in engineering and science. Developed in Ch, Ch Control System Toolkit provides a control class with member functions for object-based interactive modeling, analysis, and design of linear time-invariant control systems. The software package, available for downloading on the web, has been widely used in industry to solve practical engineering problems and in universities for instructional improvement. The design and implementation of Ch Control System Toolkit are described in this paper. Two application examples of control system design and analysis using Ch Control System Toolkit demonstrate its power and simplicity.

Management Control System Design and Employees' Autonomous Motivation

2019 ◽  
Vol 32 (3) ◽  
pp. 71-91
Author(s):  
Clara Xiaoling Chen ◽  
Jeremy B. Lill ◽  
Thomas W. Vance
Keyword(s):  
Control System ◽  
System Design ◽  
Control Systems ◽  
Online Survey ◽  
Positive Association ◽  
Autonomous Motivation ◽  
Management Control ◽  
Data Availability ◽  
Control System Design ◽  
Management Control System

ABSTRACT Using an online survey of 468 U.S. employees from diverse industries and professions, we provide empirical evidence that management control system design choices can affect autonomous motivation in employees. Drawing on self-determination theory and the levers of control framework, we predict and find that employee autonomous motivation is positively associated with the use of beliefs control systems and interactive control systems and negatively associated with the use of diagnostic control systems. Moreover, we find that the joint use of diagnostic and interactive controls is positively associated with autonomous motivation. We also find a positive association between employees' autonomous motivation and individual self-reported effort, job performance, and creativity. Additional analyses examine the sources of motivation behind these results, focusing on identified motivation. The theory and results of our study provide a potential explanation for the recent trend in practice of organizations increasingly emphasizing their values and higher purposes. Data Availability: Data are available upon request.

Control Systems

2019 ◽  
pp. 31-40
Author(s):  
Pierre-Loïc Garoche
Keyword(s):  
Control System ◽  
Differential Equations ◽  
Control Theory ◽  
System Design ◽  
Ordinary Differential Equations ◽  
Control Systems ◽  
Control Design ◽  
Control System Design ◽  
Typical Development ◽  
Typical Process

This chapter sketches the typical development of control systems and refers the reader to classical books for more details on control system design. Historically, control design started in the continuous world: a system had to be controlled, and its dynamics was captured by the equations of physics, for example, using ordinary differential equations. Then, control theory provides means to build a controller: another system, used in combination with the system to be controlled, is able to move the system to the requested state. The chapter thus begins by presenting a typical process leading to the development of a controller in the aerospace domain. It then gives an idea of each step.

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