Digitalization of continuous control systems

SIMULATION ◽  
1965 ◽  
Vol 5 (5) ◽  
pp. 329-337
Author(s):  
M.A. Breuer
Keyword(s):  
Control System ◽  
Control Systems ◽  
Sampling Rate ◽  
Continuous System ◽  
Computer Programs ◽  
Continuous Control ◽  
Feedback Network ◽  
Simulated System ◽  
Hybrid Computer ◽  
Equivalent Program

This paper deals with the development of methods for analysis, and derivation of computer programs, for digitalizing continuous control systems. More spe cifically, given a continuous control system, we wish to determine an "equivalent" computer program to take the place of some analog shaping network in the system. An equivalent program is one for which the response of the digital system approximates the response of the continuous system in the time do main. Time and frequency comparisons between the responses of continuous and digitalized systems to step inputs are given. Equivalent computer programs for various standard shaping networks are derived. Revised programs are determined, where use is made of prediction and extrapolation techniques to com pensate for digital computation delay time. Finally, the feedback network in a missile control system containing an unstable aerodynamic airframe is digitalized, and the simulated system is run on an analog-digital hybrid computer system. Results are given, indicating system performance as a function of sampling rate, computation delay, and system gains.

A New Fuzzy Inference Method for Symbolic Stability Analysis of Multigranular Intelligent Control System

2000 ◽  
Vol 12 (6) ◽  
pp. 664-674
Author(s):  
Hidehiro Yamamoto ◽  
◽  
Takeshi Furuhashi
Keyword(s):  
Control System ◽  
Stability Analysis ◽  
Fuzzy Control ◽  
Control Systems ◽  
Fuzzy Inference ◽  
Continuous System ◽  
Asymptotically Stable ◽  
Membership Functions ◽  
Symbolic System ◽  
Inference Method

Fuzzy inference has a multigranular architecture consisting of symbols and continuous values, and has worked well to incorporate experts' know-how into fuzzy controls. Stability analysis of fuzzy control systems is one of the main topics of fuzzy control. A recently proposed stability analysis method on the symbolic level opened the door to the design of stable fuzzy controller using symbols. However the validity of the stability analysis in the symbolic system is not guaranteed in the continuous system. To guarantee this validity, a nonseparate condition has been introduced. If the fuzzy control system is asymptotically stable in the symbolic system and the system satisfies the nonseparate condition, the continuous system is also asymptotically stable. However this condition is too conservative. The new condition called a relaxed nonseparate condition has been proposed and the class of control systems with guaranteed discretization has been expanded. However the relaxed condition has been applicable only to controf systems having symmetric membership functions. This paper presents a new fuzzy inference method that makes the relaxed condition applicable to fuzzy control systems with asymmetric membership functions. Simulations are done to demonstrate the effectiveness of the new fuzzy inference method. The proof of the expansion of the relaxed nonseparate condition is also given.

scholarly journals Sampling Rate Impact on the Tuning of PID Controller Parameters

2016 ◽  
Vol 62 (1) ◽  
pp. 43-48 ◽  
Author(s):  
Michal Laskawski ◽  
Miroslaw Wcislik
Keyword(s):  
Control System ◽  
Automatic Control ◽  
Control Systems ◽  
Automatic Control System ◽  
Pid Controller ◽  
Sampling Rate ◽  
Sampling Period ◽  
Pid Controllers ◽  
Optimal Parameters ◽  
The Impact

Abstract The paper deals with an analysis of automatic control system with continuous and discrete PID controllers. A method of tuning the parameters of the continuous controller is presented, which is optimal according to the ITAE criterion. The behavior of control systems with discrete controllers whose parameters were tuned using the mentioned method are described. The impact of changes in the sampling period of controlled signal on the control quality is shown. Changes of the values of optimal parameters of discrete PID controllers in relation to changes of the sampling rate of controlled signal are characterized.

scholarly journals A Visitor’s Hybrid Smart Guide Control System

2019 ◽  
Vol 7 (1) ◽  
pp. 9-18
Author(s):  
Cliff Orori Mosiori
Keyword(s):  
Control System ◽  
Control Systems ◽  
Hybrid Systems ◽  
Hybrid Control ◽  
Reactive Systems ◽  
Discrete Systems ◽  
Industrial Society ◽  
Continuous Control ◽  
General Terms ◽  
Technical University

Modern industrial society is filled with hybrid systems. The effectiveness of a control system is now a basic requirement in any institution. In general terms, hybrid systems are reactive systems that intermix discrete and continuous control components in which the discrete part of that control system makes the decision on behaving for the whole designed system and further decides if it can allow it to switch to another set of control protocols when appropriate conditions are availed. The continuous part only functions according to a specified protocol. Hybrid systems are common models used in digital (logic) and continuous networks and devices. Digital control programs detect, control, and supervise continuous and discrete systems using differential or difference equations. This principle was utilized in our design and reported thereof. Although this work developed a different method to deal with specific problems facing students at Technical University of Mombasa.  An upgrade was recommended so as to extend the control system to the eye- impaired students and visitors. Since the issue of optimal smart control systems cannot be ignored in the design of new control systems with today's requirements in our learning institutions, it was concluded that further research was necessary to bring about a fully reliable and well-developed control system able to use real-time and real routes as they exist at the university ground. This work reports a hybrid control guide system designed and implemented at the Technical University of Mombasa.  

Pengaruh Sistem Pengendalian Internal Pemerintah dan Kompetensi Pegawai Terhadap Kinerja Instansi Pemerintah Kabupaten Karimun

2020 ◽  
Vol 5 (1) ◽  
pp. 101-106
Author(s):  
Doni Putra Utama
Keyword(s):  
Control System ◽  
Control Systems ◽  
Internal Control ◽  
Statistical Tests ◽  
Government Agencies ◽  
Government Performance ◽  
Significant Positive Effect ◽  
Internal Control System ◽  
Employee Competencies ◽  
Positive Effect

This research is a causality study with the title "Effect of Government Internal Control Systems and Employee Competence on the Performance of Government Agencies in Karimun Regency." The purpose of this study was to determine the effect of the implementation of the Government's Internal Control System on the performance of Karimun Regency government agencies and to determine the effect of employee competence on the performance of Karimun Regency government agencies. Data collection using a questionnaire where the questionnaire contained questions about the Government's Internal Control System, employee competencies and agency performance. Data were tested using multiple linear regression statistical tests. Based on the results of the study, it can be concluded that the governmental internal control system has a significant positive effect on Government Agency Performance with the results of statistical tests that show a sig value of 0.016 <0.05 (alpha 5%). Employee Competency has a significant positive effect on Government Performance with the results of statistical tests showing a sig value of 0,000.

scholarly journals Coordination of Lateral Vehicle Control Systems Using Learning-Based Strategies

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1291
Author(s):  
Balázs Németh
Keyword(s):  
Control System ◽  
Control Systems ◽  
Coordinated Control ◽  
Front Wheel ◽  
Steering Angle ◽  
Conventional Model ◽  
Linear Parameter Varying ◽  
Coordination Strategy ◽  
Torque Vectoring ◽  
Performance Specifications

The paper proposes a novel learning-based coordination strategy for lateral control systems of automated vehicles. The motivation of the research is to improve the performance level of the coordinated system compared to the conventional model-based reconfigurable solutions. During vehicle maneuvers, the coordinated control system provides torque vectoring and front-wheel steering angle in order to guarantee the various lateral dynamical performances. The performance specifications are guaranteed on two levels, i.e., primary performances are guaranteed by Linear Parameter Varying (LPV) controllers, while secondary performances (e.g., economy and comfort) are maintained by a reinforcement-learning-based (RL) controller. The coordination of the control systems is carried out by a supervisor. The effectiveness of the proposed coordinated control system is illustrated through high velocity vehicle maneuvers.

The Control of the Eye's Intrinsic Muscles: A Multivariable Optimum Performance Control System

1968 ◽  
Vol 1 (8) ◽  
pp. T.129-T.132 ◽  
Author(s):  
F. M. Toates
Keyword(s):  
Control System ◽  
Control Systems ◽  
Pupil Diameter ◽  
Control Model ◽  
Point Of View ◽  
Theoretical Point ◽  
Pupil Control ◽  
Performance Control ◽  
A Value ◽  
Intrinsic Muscles

The reciprocal interaction between the accommodation and pupil control systems of the human eye is examined from a theoretical point of view. The system, which is responsible for maintaining pupil diameter at a value which is a compromise between conflicting requirements, is represented by a control model, and is considered in terms of the concept of a performance index.

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