scholarly journals IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN CONTROLLING THE TEMPERATURE OF INDUSTRIAL PANEL

2021 ◽  
Vol 25 (01) ◽  
pp. 92-99
Author(s):  
Methaq A. Ali ◽  
◽  
Abbas H. Miry ◽  
Tariq M. Salman ◽  
◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Control Systems ◽  
Control Algorithm ◽  
Health And Safety ◽  
Prototype System ◽  
Programmable Logic ◽  
Proportional Integral Derivative ◽  
Modbus Protocol ◽  
Overall Performance ◽  
Fuzzy Control Algorithm

Artificial intelligence has been widely used in various applications such as health and safety, smart homes, greenhouses, and industrial application. It has been increasingly utilized in the industry owing to its benefits in terms of enhancing the overall performance of a given system. This study appeared from a real need in many local industries. In this paper, a prototype system has been implemented for artificial control on the temperature of the industrial panel. The paper includes two control systems executed; classical PID (Proportional Integral Derivative) and fuzzy logic with a comparison between them. Fuzzy control algorithm is developing based on Sugeno method inside PLC (Programmable Logic Controller). The connection of PLC with sensors is used by the Modbus protocol. Arduino UNO and Ethernet shield are used to connect the sensor to the router and then to PLC by Modbus.

scholarly journals PID Controller Implemented in Festo CDPX

2019 ◽  
Vol 260 ◽  
pp. 02008
Author(s):  
Primož Podržaj
Keyword(s):  
Control Systems ◽  
Pid Controller ◽  
Control Algorithm ◽  
Closed Loop ◽  
Pi Control ◽  
Programmable Logic ◽  
Educational Tool ◽  
Level Control ◽  
Loop Control ◽  
Machine Interface

In this paper, we describe the procedure for the implementation of the PID controller in the Festo CDPX operator unit. These units enable the execution of the control algorithm and human machine interface in a single unit. In our laboratory the unit is used to teach the students about the basics of control systems. For this purpose, one of the most common closed loop control systems for the education purposes was selected. It is a water level control system. In this paper the design of the whole system is presented. The need for a PI control algorithm is also explained. The programming of the operator unit CDPX, both in Festo CoDeSys and Designer Studio is explained. Such a simple system has turned out to be a great educational tool for Control Theory and Programmable Logic Controller related subjects.

scholarly journals Artificial Intelligence Based Sensor Network Congestion Fuzzy Control Algorithm

2021 ◽  
Vol 2074 (1) ◽  
pp. 012030
Author(s):  
Jing Luo ◽  
Xiaoxu Xiao ◽  
Rongxia Wang
Keyword(s):  
Artificial Intelligence ◽  
Sensor Networks ◽  
Fuzzy Control ◽  
Sensor Network ◽  
Control Algorithm ◽  
Large Scale ◽  
Cluster Head ◽  
Residual Energy ◽  
Congestion Control Algorithm ◽  
Fuzzy Control Algorithm

Abstract The topology control of sensor sensor network was studied based on fuzzy control algorithm. Aiming at the dynamic changes of the topology of large-scale and heterogeneous artificial intelligence sensor networks and the incomplete information between nodes, a smart network-based congestion control algorithm for sensor networks was proposed and the performance of fuzzy control algorithms was analyzed. Based on this, a fuzzy control algorithm was designed. The algorithm fully considered the residual energy of nodes and the distribution of nodes in the network. Therefore, the reasonable election of the cluster head can be realized through the game between nodes, which effectively avoided energy holes, made the network energy consumption more uniform, prolonged the network life cycle, and optimized the network topology.

Researches on the Robot Obstacle Avoidance Based on Fuzzy Control

2014 ◽  
Vol 686 ◽  
pp. 101-104
Author(s):  
Jin Yao
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Control ◽  
Obstacle Avoidance ◽  
Computer Technology ◽  
Control Algorithm ◽  
Biological Behavior ◽  
Sensor Technology ◽  
Covered Area ◽  
Local Path ◽  
Fuzzy Control Algorithm

With the continuous development of modern sensor technology, coupled with the integration of artificial intelligence and a variety of emerging computer technology, it makes robots more intelligent and diverse. So the ability of the robot to complete the task is also valued and widely used. In this paper, the whole covered area of the local path planning uses a fuzzy control algorithm, which uses the robustness and an action of perception based on the biological behavior of the fuzzy control algorithm combined with itself. For obstacle avoidance system of mobile robots, we put forward the avoidance strategy of fully contacting the obstacles. And we have conducted a deep study about the theory and implementation methods.

scholarly journals Development of Lift Control System Algorithm and P-M-E Analysis in the Workplace

2018 ◽  
Vol 1 (4) ◽  
pp. 38
Author(s):  
Inikuro Afa Michael
Keyword(s):  
Control System ◽  
Fuzzy System ◽  
Control Algorithm ◽  
Health And Safety ◽  
Physical Factors ◽  
Programmable Logic ◽  
Dispatching Algorithm ◽  
Lift Control ◽  
Ladder Logic ◽  
Systems Studies

Lifts play an important role in human transportation in multi-storage buildings, which experience continuous improvements to their architecture and structure. As a result of these improvements, the development of efficient lift systems with more programs is required to meet these changes. In this work, a lift control system based on a programmable logic controller (PLC) is introduced, elucidating the development of the lift control algorithm and network based on a dispatching algorithm that utilizes a fuzzy system and exploits the traffic situation and condition. The PLC language ladder logic is implemented to facilitate a reduction in the average waiting time of passengers and the power consumption. Ladder diagrams for different scenarios are compared. The analysis of personnel-machine-environment (P-M-E) system conditions was conducted, examining numerous physical factors that could pose health and safety threats to workers. The present study opens doors for future lift systems studies based on PLC and the estimation of a safe workplace for machines and operators.

Space robot motion path planning based on fuzzy control algorithm

2021 ◽  
pp. 1-8
Author(s):  
Baoyu Shi ◽  
Hongtao Wu
Keyword(s):  
Path Planning ◽  
Fuzzy Control ◽  
Obstacle Avoidance ◽  
Control Algorithm ◽  
Space Robot ◽  
Robot Motion ◽  
Robot Path Planning ◽  
Behavior Based ◽  
Fuzzy Control Algorithm ◽  
Robot Path

Path planning technology is one of the core technologies of intelligent space robot. Combining image recognition technology and artificial intelligence learning algorithm for robot path planning in unknown space environment has become one of the hot research issues. The purpose of this paper is to propose a spatial robot path planning method based on improved fuzzy control, aiming at the shortcomings of path planning in the current industrial space robot motion control process, and based on fuzzy control algorithm. This paper proposes a fuzzy obstacle avoidance method with speed feedback based on the original advantages of the fuzzy algorithm, which improves the obstacle avoidance performance of space robot under continuous obstacles. At the same time, we integrated the improved fuzzy obstacle avoidance strategy into the behavior-based control technology, making the avoidance become an independent behavioral unit. Divide the path planning into a series of relatively independent behaviors such as fuzzy obstacle avoidance, cruise, trend target, and deadlock by the behavior-based method. According to the interaction information between the space robot and the environment, each behavior acquires the dominance of the robot through the competition mechanism, making the robot complete the specific behavior at a certain moment, and finally realize the path planning. Furthermore, to improve the overall fault tolerance of the space, robot we introduced an elegant downgrade strategy, so that the robot can successfully complete the established task in the case of control command deterioration or failure of important information, avoiding the overall performance deterioration effectively. Therefore, through the simulation experiment of the virtual environment platform, MobotSim concluded that the improved algorithm has high efficiency, high security, and the planned path is more in line with the actual situation, and the method proposed in this paper can make the space robot successfully reach the target position and optimize the spatial path, it also has good robustness and effectiveness.

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