Optimum Nonuniform Error Quantizers for Feedback Control Systems

1967 ◽  
Vol 89 (2) ◽  
pp. 365-370
Author(s):  
D. E. Limbert ◽  
C. K. Taft
Keyword(s):  
Feedback Control ◽  
Control Systems ◽  
System Simulation ◽  
Maximum Velocity ◽  
System Stability ◽  
Feedback Control System ◽  
Actual System ◽  
Position Accuracy ◽  
Feedback Control Systems ◽  
Selection Of

The effects of nonuniform error quantization on feedback control system stability from the viewpoint of the existence of limit cycles are discussed. The existence of limit cycle is investigated for both step and ramp inputs and results are compared to actual system simulation. Guidelines are given for the selection of a quantizer to allow maximum velocity for a given number of error quantization levels with no loss of position accuracy.

scholarly journals Integral Control and Anti-Windup Experiments

2019 ◽  
Vol 9 (1) ◽  
pp. 113
Author(s):  
Chiu Choi
Keyword(s):  
Feedback Control ◽  
Control Systems ◽  
Engineering Curriculum ◽  
Feedback Control System ◽  
Industrial Control ◽  
Control Engineering ◽  
Integral Control ◽  
Laboratory Courses ◽  
Hands On ◽  
Feedback Control Systems

Integral control is one of the methods for reducing steady-state error in a feedback control system. This method is frequently used in manufacturing and industrial control processes. It is an important topic in the control engineering curriculum. In this paper, we describe a laboratory station developed for the investigation of integral control. Microcontrollers were used for the implementation of the integral controllers. Five experiments were developed for that laboratory station. These experiments emphasized on the understanding of integral control, elucidating the integrator windup problems, and introducing methods for overcoming such problems. These experiments offer hands-on experience to students and will increase their insights into integral control and anti-windup methods. These experiments can be readily incorporated into laboratory courses on feedback control systems or microcontroller applications.

scholarly journals Determination of Self-Oscillations in Relay Control Systems

2020 ◽  
Vol 20 (1) ◽  
pp. 1-8
Author(s):  
Abdelouahab Zaatri ◽  
Ridha Kelaiaia
Keyword(s):  
Feedback Control ◽  
Control Systems ◽  
Feedback Control System ◽  
Electronic Components ◽  
Describing Function ◽  
Relay Control ◽  
Feedback Control Systems ◽  
Linear Elements ◽  
Switching Mode

AbstractSome dynamical linear elements including on-off elements such as electro-mechanical relays and electronic components used in switching mode for some feedback control systems can present special features such as the capability to autonomously generate stable self-oscillations. This paper concerns the comparison of two approaches enabling to determine the frequency of self-oscillations in these systems. We examine Tsypkin’s approach which can provide analytical solutions to determining the frequency of existing self-oscillations. On the other hand, we examine the Describing Function (DF) approach which has been developed as an alternative to approximate these solutions.We will compare these two approaches for nonlinear systems of first and second orders. We will examine particularly the possibilities and limits of each approach for calculating the self-oscillations. Simulation of these systems will be performed to visualizes their behaviors. An experimental feedback control system based on electronic circuits used in switching mode has been built as a setup enabling testing and envisioning some applications.

scholarly journals Problems of using haptic feedback to control manipulator tools

2021 ◽  
Vol 338 ◽  
pp. 01014
Author(s):  
Marian Janusz Łopatka ◽  
Daniel Sterniczuk
Keyword(s):  
Control System ◽  
Feedback Control ◽  
Control Systems ◽  
Haptic Feedback ◽  
Feedback Control System ◽  
Work Tasks ◽  
Machine Operators ◽  
Current Design ◽  
Feedback Control Systems ◽  
Hydraulic Manipulator

The paper reviews the machine operators support technologies used in carrying out work tasks. The limitations of the current design solutions have been identified. The construction of control systems using haptic feedback was discussed and the research carried out on this technology was reviewed. The concept of hydraulic manipulator tool and its haptic feedback control system for monitoring loads during working movements is presented. The concept of the test stand for testing haptic feedback control systems and the preliminary experiment plan are presented.

scholarly journals Optimal control of feedback control systems governed by systems of evolution hemivariational inequalities

Filomat ◽  
2018 ◽  
Vol 32 (15) ◽  
pp. 5205-5220 ◽  
Author(s):  
Lu-Chuan Ceng ◽  
Zhenhai Liu ◽  
Jen-Chih Yao ◽  
Yonghong Yao
Keyword(s):  
Optimal Control ◽  
Control System ◽  
Feedback Control ◽  
Control Systems ◽  
Existence Result ◽  
Sufficient Conditions ◽  
Hemivariational Inequalities ◽  
Feedback Control System ◽  
Feedback Control Systems ◽  
Evolution Hemivariational Inequalities

In this paper, we introduce and consider a feedback control system governed by the system of evolution hemivariational inequalities. Several sufficient conditions are formulated by virtue of the properties of multimaps and partial Clarke?s subdifferentials such that the existence result of feasible pairs of the feedback control systems is guaranteed. Moreover, an existence result of optimal control pairs for an optimal control system is also established.

Study on the Model Feedback Control System for a Class of Non-Minimum Phase Systems

2011 ◽  
Vol 497 ◽  
pp. 234-245
Author(s):  
Nghia Thi Mai ◽  
Kou Yamada ◽  
Takayuki Moki ◽  
Takaaki Hagiwara ◽  
Fuminori Kanno
Keyword(s):  
Feedback Control ◽  
Control Systems ◽  
Control Structure ◽  
Design Method ◽  
Minimum Phase ◽  
Feedback Control System ◽  
Stabilizing Controllers ◽  
Feedback Control Systems ◽  
Phase Systems ◽  
Water Tanks

In the present paper, we examine model feedback control systems (MFCSs). Because MFCSis simple, the MFCS has been applied in many applications such as the trajectory control of robotmanipulators, serially connected water tanks, etc. The control structure of the MFCS is limited, butYamada and Moki reported about whether or not MFCS can represent all of the stabilizing controllersof a minimum phase plant. However, no research has been reported whether or not MFCS can representall of the stabilizing controllers of a non-minimum phase plant. The purpose of the present paper isto give a solution to the question as to whether or not all of the stabilizing controllers for a plantare expressible in the MFCS structure. The relation between MFCS and the parameterization of allstabilizing controllers for a class of non-minimum phase plants is shown. A simple design method tospecify control characteristics is also presented.

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