Generation of the Petri net by means of the resources of the dis-crete-continuous nets in the algorithm formation for the self-tuning of the coordinating control system

2017 ◽  
Vol 26 (102) ◽  
pp. 78-87 ◽  
Author(s):  
A. A. Gurskiy ◽  
◽  
A. E. Goncharenko ◽  
A. V. Denisenko
Keyword(s):  
Control System ◽  
Petri Net ◽  
The Self ◽  
Self Tuning ◽  
Coordinating Control

The self-tuning networked control system with online delay prediction

2016 ◽  
Vol 39 (9) ◽  
pp. 1365-1373 ◽  
Author(s):  
Tao Zuo ◽  
Huasong Min ◽  
Tao Zhang ◽  
Xiongxi Zhang
Keyword(s):  
Control System ◽  
Networked Control System ◽  
The Self ◽  
Networked Control ◽  
Self Tuning ◽  
Delay Prediction

Induction Motor Direct Torque Control Method of Fuzzy Adaptive

2013 ◽  
Vol 387 ◽  
pp. 365-368
Author(s):  
Cong Fan ◽  
Guo Zhang ◽  
Yu Ping Liu
Keyword(s):  
Control System ◽  
Control Method ◽  
Asynchronous Motor ◽  
Direct Torque Control ◽  
Adaptive Method ◽  
Torque Control ◽  
The Self ◽  
Self Tuning ◽  
Simulation Results ◽  
Fuzzy Adaptive

This paper focus on the instability of asynchronous motor direct torque control system which caused by PID parameter changes. In order to improve the self-tuning capabilitiy of PID countroller, enhance the speed and stability of control system. fuzzy adaptive method was adapted to optimize PID parameter. Simulation results show that: this strategy improved the performance of direct torque control system significantly.

scholarly journals FORMATION OF THE SYNTHESIS ALGORITHMS OF THE COORDINATING CONTROL SYSTEMS BY MEANS OF THE AUTOMATIC GENERATION OF PETRI NETS

2017 ◽  
Vol 8 (3) ◽  
Author(s):  
A. A. Gurskiy ◽  
A. E. Goncharenko ◽  
S. M. Dubna
Keyword(s):  
Control System ◽  
Petri Nets ◽  
Control Systems ◽  
Petri Net ◽  
Robot Manipulator ◽  
Scientific Work ◽  
Automatic Generation ◽  
Parametric Synthesis ◽  
Coordinating Control ◽  
New Algorithms

The coordinating control system by drives of the robot-manipulator is presented in this article. The purpose of the scientific work is the development and research of the new algorithms for parametric synthesis of the coordinating control systems. To achieve this aim it is necessary to develop the system generating the required parametric synthesis algorithms and performing the necessary procedures according to the generated algorithm. This scientific work deals with the synthesis of Petri net in the specific case with the automatic generation of Petri nets.

Research of Control Strategy Based on the Electro-Hydraulic Proportion Position Control System

2013 ◽  
Vol 819 ◽  
pp. 238-243
Author(s):  
Yin Fa Zhu ◽  
Bing Bing Chen
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Position Control ◽  
The Self ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Self Tuning ◽  
Position Control System

The self-tuning fuzzy PID controller of the electro-hydraulic proportion position control system is designed and researched. Compared the self-tuning fuzzy PID control with the traditional PID control through experiments for the track effect on sinusoidal signals, the results show that the self-tuning fuzzy PID controller has higher accuracy and better stability. It is a more excellent performance controller.

scholarly journals Self-Tuning Two Degree-of-Freedom Proportional–Integral Control System Based on Reinforcement Learning for a Multiple-Input Multiple-Output Industrial Process That Suffers from Spatial Input Coupling

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 487
Author(s):  
Fumitake Fujii ◽  
Akinori Kaneishi ◽  
Takafumi Nii ◽  
Ryu’ichiro Maenishi ◽  
Soma Tanaka
Keyword(s):  
Control System ◽  
Reinforcement Learning ◽  
Pid Control ◽  
Multiple Input Multiple Output ◽  
Industrial Process ◽  
Pi Controller ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Self Tuning ◽  
Two Degree Of Freedom

Proportional–integral–derivative (PID) control remains the primary choice for industrial process control problems. However, owing to the increased complexity and precision requirement of current industrial processes, a conventional PID controller may provide only unsatisfactory performance, or the determination of PID gains may become quite difficult. To address these issues, studies have suggested the use of reinforcement learning in combination with PID control laws. The present study aims to extend this idea to the control of a multiple-input multiple-output (MIMO) process that suffers from both physical coupling between inputs and a long input/output lag. We specifically target a thin film production process as an example of such a MIMO process and propose a self-tuning two-degree-of-freedom PI controller for the film thickness control problem. Theoretically, the self-tuning functionality of the proposed control system is based on the actor-critic reinforcement learning algorithm. We also propose a method to compensate for the input coupling. Numerical simulations are conducted under several likely scenarios to demonstrate the enhanced control performance relative to that of a conventional static gain PI controller.

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