scholarly journals Development of Servo Motor Trainer for Basic Control System in Laboratory of Electrical Engineering Control System Faculty of Engineering Universitas Negeri Surabaya

2018 ◽  
Vol 336 ◽  
pp. 012033
Author(s):  
Endryansyah ◽  
Puput Wanarti Rusimamto ◽  
Adam Ridianto ◽  
Hariyadi Sugiarto
Keyword(s):  
Control System ◽  
Electrical Engineering ◽  
Servo Motor ◽  
Engineering Control

scholarly journals Fuzzy Neural Network Algorithm in Improving Electrical Engineering Control System

2021 ◽  
Vol 2074 (1) ◽  
pp. 012080
Author(s):  
Xiaotao Tian
Keyword(s):  
Neural Network ◽  
Control System ◽  
Electrical Engineering ◽  
Electrical Control ◽  
Intelligent Control System ◽  
Engineering Control ◽  
Network Algorithm ◽  
Fuzzy Neural ◽  
Artificial Intelligence Technology ◽  
Neural Network Algorithm

Abstract In the current era of rapid development of big data technology and artificial intelligence technology, China’s comprehensive national strength has also been significantly enhanced, the rapid progress of science and technology makes the electrical engineering control system whether in terms of efficiency and quality of the application, its electrical engineering control system development is gradually improved with the support of high-tech. Based on artificial intelligence technology, neural network algorithms and improved neural network algorithms are proposed to improve the original electrical engineering control system. In this paper, the S electrical engineering control system is the main research object, and its addition of fuzzy neural network algorithm to improve the study. Firstly, on the basis of a simple description of S electrical control system, the research status of the main partition control blocks of S electrical control system is analyzed. Secondly, an improved intelligent control system, including intelligent service interruption system and central electrical control system, is proposed to design an improved electrical engineering control system based on neural network algorithm through the operation principle of sensors and the study of network communication technology. Based on the above research basis, the effectiveness and practicality of the proposed intelligent electrical engineering control system are verified by analyzing the effects of the proposed intelligent electrical engineering control system in real life. The experimental results show that although there are still many problems in the intelligent control system of three-phase electrical engineering at this stage, innovation and technological progress will continuously improve the comprehensiveness and intelligence level of the system.

Smart Control of DC Servo Motor Based on Fussy-PID

2014 ◽  
Vol 950 ◽  
pp. 263-267
Author(s):  
Xi Juan Wang ◽  
Wan Ming Xu ◽  
Yong Qiang Wu ◽  
Hai Yan Gao
Keyword(s):  
Control System ◽  
Mathematical Models ◽  
Direct Current ◽  
Pid Control ◽  
Time Varying ◽  
Servo Motor ◽  
Basic Algorithm ◽  
Smart Control

Conventional PID control system of Direct Current (DC) servo motor is only suitable for the system which Mathematical models can be precisely expressed [1] And it can’t meet the demand of the nonlinear and time-varying system. In the paper, a control system based on fussy-PID is proposed. The basic algorithm of the fussy-PID is introduced firstly. And then the design of the fussy-PID control system is introduced. The results of the experiments have shown that the fussy-PID control system improved the performance of the DC servo motor..

Machines Paying Attention

2011 ◽  
pp. 65-82
Author(s):  
John G. Taylor
Keyword(s):  
Control System ◽  
Complex Networks ◽  
Point Of View ◽  
Attention Control ◽  
Cognitive Tasks ◽  
Brain Science ◽  
Engineering Control ◽  
Control Framework ◽  
The Brain ◽  
The Way

Attention is analyzed as the superior control system in the brain from an engineering point of view, with support for this from the way attention is presently being understood by brain science. Such an engineering- control framework allows an understanding of how the complex networks observed in the brain during various cognitive tasks can begin to be functionally decomposed. A machine version of such an attention control system is then discussed and extended to allow for goals and their reward values also to be encoded in the attention machine. The manner in which emotion may then begin to be imbued in the machine is briefly discussed and how even some glimpse of consciousness may then arise.

Design of a Disturbance Accommodating Adaptive Control System and Its Application to a DC-Servo Motor System With Coulomb Friction

1988 ◽  
Vol 110 (4) ◽  
pp. 343-349 ◽  
Author(s):  
P. N. Nikiforuk ◽  
K. Tamura
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Coulomb Friction ◽  
Motor System ◽  
Position Control ◽  
Adaptive Controller ◽  
Analog Computer ◽  
Adaptive Control System ◽  
Servo Motor ◽  
Analytical Functions

This paper discusses the design of a model reference type of adaptive control system for a linear unknown plant with system and observation disturbances. The disturbances are assumed to be approximately expressed by step, sinusoidal, and other analytical functions. The design of a controller, called a disturbance accommodating adaptive controller (DAAC), which eliminates the effect of these disturbances at the plant output, is described. Two types of bias DAAC are given as examples and are applied to the adaptive control of a DC-servo motor system. The plant (the DC-servo system) consists of two unknown loads connected through an electrical clutch and Coulomb friction. The effect of the friction on the plant is considered as an unknown bias disturbance and the DAAC is implemented on an analog computer. Experimental results for the position control of the DAAC system are given.

scholarly journals PD Plus Dynamic Pressure Feedback Control for a Direct Drive Stewart Manipulator

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1125 ◽  
Author(s):  
Chenyang Zhang
Keyword(s):  
Control System ◽  
Feedback Control ◽  
Dynamic Characteristics ◽  
Control Strategy ◽  
Dynamic Pressure ◽  
Control Input ◽  
Servo Motor ◽  
Direct Drive ◽  
Pressure Feedback ◽  
Current Coupling

In order to ensure good dynamic characteristics, servo valve is usually adopted as the drive part of Stewart manipulator which causes huge power consumption, while direct drive electro-hydraulic servo system has the advantages of energy saving, simple structure, convenient installation, and low failure rate. But its dynamic characteristics are so poor that it can only be applied to occasions where quick response is not needed. On the consideration above, following works are done in this paper. Since current coupling exists in the control system based on the speed of the servo motor as the control input, the control system of the direct drive Stewart manipulator is established based on the current of the servo motor as the control input in which the current coupling can be solved. In order to improve the dynamic characteristics of the direct drive Stewart manipulator, a Proportion Differentiation (PD) plus dynamic pressure feedback control strategy is also put forward in this paper, which is verified by using a simulated hydraulically driven Stewart manipulator. Simulation results show that both dynamic coupling and current coupling are solved and the control strategy proposed in this paper can significantly increase the bandwidths of all degrees of freedom.

Research on the Relationship between Speed Control System and Electromechanical Oscillations

2015 ◽  
Vol 710 ◽  
pp. 47-52 ◽  
Author(s):  
Ya Qing Zhu ◽  
Min Zhong ◽  
Yu Jia Ma ◽  
Feng Ping Pan ◽  
Ling Ling Shi ◽  
...  
Keyword(s):  
Control System ◽  
Steam Turbine ◽  
Time Constant ◽  
Response Rate ◽  
Speed Control ◽  
Servo Motor ◽  
Speed Control System ◽  
Hydraulic Servo ◽  
The Impact ◽  
The Relationship

The system damping of electric power systems is influenced by factors of many aspects. In this paper, we analyzed the impact of speed control system on the damping of the whole system in consideration of the Pole-Zero Analysis. The result shows that simple speed control would damp the oscillation, while the power-frequency control would excite the oscillation. Furthermore, the effect of steam turbine response rate on the system damping is analyzed. The time constant of hydraulic servo-motor would determine the response rate of the steam turbine, and as a result, an inflection point exists on the curve which describes the relationship between hydraulic servo-motor time constant and system damping. The result demonstrates that the characteristics of system damping can be used in parameter debugging of steam turbine.

Development of a Personal Robot with the Modularized Link Units

1993 ◽  
Vol 5 (3) ◽  
pp. 306-313
Author(s):  
Shigeru Kurono ◽  
◽  
Shigeto Aramaki ◽  
Yoshikazu Fujino ◽  
Keyword(s):  
Control System ◽  
Reduction Gear ◽  
Software System ◽  
Robot Hand ◽  
Position Sensor ◽  
Servo Motor ◽  
Servo Mechanism ◽  
Personal Robot ◽  
Hardware And Software System

If the links which can be used as the components of a robot are organized in a manner of ""modularized units"" equipped with an actuator, a sensory device, and even a servo-mechanism, respectively, many kinds of robots can be easily constructed and their flexibility will be greatly improved. For this purpose, we developed a modularized link unit comprised of a DC servo motor, a position sensor, and a reduction gear set. This unit has a number of characteristics such as having large torque and small backlash, making the direction of the robot hand independent of its position, and so on. Using these units, we constructed a ""personal robot"" and developed its control system. In this paper, we introduce the composition and characteristics of our link unit, and illustrate the hardware and software system of a robot made from the modularized link units in this study.

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