Programmable logic controller applied in steam generators water levels

With the rise of tall buildings, elevators have become an indispensable part. With the acceleration of urbanization and the continuous growth of population, the number of high-rise buildings is increasing, and people's demand for elevators is also growing. The safety, reliability, comfort and efficiency of elevators directly affect people's daily life and work. Therefore, how to optimize elevator PLC (Programmable Logic Controller) control system through intelligent computing and machine learning technology to improve elevator performance and user experience is a hot issue in current research. In this paper, the PLC control system is analyzed, and the method of intelligent computing and machine learning is proposed to improve the system. This paper mainly uses the experimental method and the comparison method to compare the performance of the five signal control aspects of the control system and the performance of the algorithm. The experimental results show that the maximum throughput is the neural network, and the control system under this algorithm has the lowest response time (0.4s), the highest availability (98.95%), the lowest failure rate (0.005%) and the highest security (99.995%).

The design and implementation of a classical control system laboratory based on PLC control system is introduced in this paper. To design and implement the system, two parts must be produced. The first is software for PLC and the second is hardware for experiments related to the programs. The PLC control system used in the design is LS industrial system company GM7-DR40A 24/16 Digital I/O and single Analog I/O module, two photoelectric sensors from Atonic company’: the first with the model BR100-DDT-P, and the second BEN10M-TFR. An approximate sensor with 5-sides is detected, four of CMOS BCD-7-Segment driven by CD4511B, two relays: 2-poles and 3-poles, six voltages and an ammeter measurement, DC motor and 24 VDC power supply and many connecters and pinions. Satisfactory results are obtained by executing twenty four experiments for classical control theory that fulfill the requirements of control theory in undergraduate stage and replace the old experiments executed by PID controller where the practice system is implemented by PLC control now.

The characteristics and applications of the system for welding machines based on SCM , based on PLC control system and PC-based industrial control system was introduced. It has certain significance to the design of welding machine control system.

The main challenges related to water affect human settlements' sustainability: the lack of access to safe and clean water at all times. These problems have massive consequences on human health, safety, economic growth, and development. Rujban city faces this crisis despite more than five decades trying to resolve this problem. In this paper, we describe the existing water supply system, which consists of three main components: Karthoom Automated Control System (KACS), Idref Automated Control System 1 (IACS1), and Idref Automated Control System 2 (IACS2). We propose the control system design of the KACS to meet the city's demand and keep the collecting tank with an acceptable level of water continuously. This paper presents the Karthoom Automatic Control System (KACS) design to control the water supply system using the Programmable Logic Controller (PLC). PLC controller is a central part of the proposed automatic control system due to its reliability and ease of installing and maintenance. Besides, we use PLC to carry out the water level control, sequencing, monitoring, display, and control functions, such as logic, sequence, timing, counting, and arithmetic logic. To maintain an appropriate water level in the collecting tank, we control the operation of the feeding submersible pumps ("on" or "off") by sensing the collecting tank's water levels. This is accomplished by utilizing four-stage-level sensors, seven water flow sensors, and an RF transmitter/receiver to monitor and control all pumps' operations and protect them from dry running and then accomplish the sensing stage. We introduce the control system components, the operation flow chart, and the proposed system's implementation. Finally, we implemented and conducted a simulation experiment using the Siemens S7-200 PLC to control the overall water supply system and evaluate the proposed control approach's performance.

This paper describes a modern approach for the protection of transmission lines to ensure their safety against the faults occurred in power systems. Our approach uses a Programmable Logic Controller (PLC) to realize a transmission line as an over current protection relay. A conditioning circuit was designed, implemented and tested to collect data obtained from Hall Effect sensors which convert them to suitable analog values compatible with PLC's inputs. Results obtained by our PLC control system are very similar to those obtained by the conventional relays but more efficient. An Automatic Reclosing System (ARS) for remote faults is also included in this approach. Our PLC control system and its algorithm are illustrated in this paper also. This approach is designed to be used in electrical networks laboratories as an educational unit in electrical departments of engineering collages and technical institutes; it can be used also in real power systems through suitable interfacing facilities.

A stability test chamber simulates specific environmental conditions and tests a product or material in the manufacturing stage. The tested product or material is then analyzed about its shelf-life estimation related to the state and durability of the product for a certain period. The main parameter that must control accurately is temperature. Programmable Logic Controller (PLC) as an industrial computer control system has been widely used. In this paper, the temperature control system was designed based on PLC and supervisory control and data acquisition (SCADA). The PLC and SCADA would indirectly control the heater. The PLC was feeded from the temperature sensor for real-time temperature inside the test chamber. Received temperature value, compared to the temperature set point. The validation and verification of controlled temperature inside the chamber were also investigated. The system was designed on a miniaturized chamber using commercial PLC and SCADA, Stepper motor, slide regulator, heater, and the temperature sensor PT100. The temperature test point for validation and verification was performed at 35 °C, 45 °C, and 55 °C. The result showed that The PT100 successfully had an excellent response to the temperature test point. The correction value for temperature is as high as 0.6 °C with a deviation of 1 %.

Drying food products using traditional methods relying on sunlight takes a relatively long time, especially with unpredictable weather conditions. Essentially, artificial drying using heat-based equipment provides several advantages, including: independence from weather conditions, adjustable drying capacity, controlled temperature, no need for extensive space, controlled drying conditions, and guaranteed and uniform drying quality. Therefore, this design aims to create a food drying apparatus with PLC control. PLC is used as the controller for this drying apparatus, allowing automatic drying of certain types of food. In this design, we connect a DC motor to rotate the drying cylinder with a PLC device by creating a ladder diagram and determining the inputs and outputs in the CX-Programmer application. The design utilizes three inputs and two outputs. It is important that the I/O is readable by the PLC so that the system operates according to the programmed instructions.

Traditional hydraulic <span>cylinders are widely used in industry as load lifting tools. There is difficulty in employing these cylinders in narrow installation space like building elevators as well as they require a long working stroke, so solving this problem requires using the telescopic hydraulic cylinder instead. This cylinder is a unique hydraulic cylinder design that uses a sequence of decreasing diameters to create a long operating stroke in a compact-retracted form. In this work, the Auto Station software is used to build a telescopic hydraulic cylinder model that includes hydraulic elements such as double-acting hydraulic telescopic cylinders, pump, valves, pipeline, and filter, as well as electrical parts such as programmable logic controller (PLC), push-bottoms, and position sensors. The proposed model is operated by a PLC controller and has three floors with an overall height of around 300 cm for lifting a 100 kg payload. The accuracy and validity of this model in lifting big weights were demonstrated by the analytical findings of characteristic curves for cylinder position and velocity. This model can be used a basic reference to analyze and construct hydraulic cylinders with any number of stages. The findings of simulations reveal that a quick change in pressure due to phase change causes multi-phase vibration.</span>

Landing gear systems are an essential component of any aircraft, requiring precision and reliability to ensure safe operation. This research advances previous work on landing gear automation that utilized hydraulic systems with an electrical interface. It introduces an improved landing gear design by integrating Programmable Logic Controller (PLC) technology. Automation ensures smooth, efficient, and reliable retraction and deployment, enhancing overall performance, safety, and reliability. At the heart of the research is a PLC-based framework that controls landing gear actuation with exceptional precision. The modular, scalable design allows adaptation to different aircraft sizes and configurations, making it versatile for various applications. This flexibility supports both educational demonstrations and potential integration into more advanced aerospace projects. The research incorporates a Proportional-Integral-Derivative (PID) controller alongside PLC technology to enhance system performance. The PID controller refines actuator movement by dynamically adjusting hydraulic pressure and control signals based on real-time feedback. This integration ensures smoother transitions, minimizes mechanical stress, and enhances stability under varying conditions. By leveraging PLC and PID control, the system achieves optimal responsiveness and precision, improving safety and efficiency. The primary objective of this research is to serve as an educational tool, bridging the gap between theoretical concepts and practical engineering applications. It provides researchers with hands-on experience in advanced automation technology. Experimentation with this system deepens understanding of automated control systems and their role in modern aerospace engineering. The demonstration model offers an accessible platform to explore automation principles and their impact on traditional mechanical systems in aviation. This research also emphasizes simplicity, efficiency, and reliability. By focusing on core landing gear functions, it demonstrates how automation can streamline processes. PLC technology improves operational efficiency, reduces manual input, and ensures consistent performance. The PID controller further enhances adaptability by fine-tuning system responses for precise actuation under different loads and environmental conditions. While primarily educational, this research sets the stage for advancements in intelligent landing gear systems. Its modular design ensures compatibility with future technological innovations, making it a valuable foundation for ongoing aerospace automation research. Integrating PLC with PID control also creates opportunities for advanced fault detection, predictive maintenance, and adaptive control algorithms in future implementations. In conclusion, this research represents a forward-thinking approach to aerospace engineering, emphasizing automation’s role in improving safety, reliability, and efficiency. By combining cutting-edge technology with practical application, it addresses current challenges and inspires future aviation innovations. This study contributes to the development of smarter, safer, and more efficient aircraft systems, offering significant value for education, research, and technological advancement.

Degassing station breakdowns can be dangerous to the operator health and the environment. Programmable logic controllers (PLCs) are key modules of manufacturing control systems that are applied in the complex oil and gas units to reduce manpower and unnecessary faults. However, feeding a PLC with data is a difficult part due to the need of system log files which records all events that occur in the oil fields and provide visibility to a given environment. Moreover, most critical chemical processing plants and oil distributions are visualized and inspected by Supervisory Control and Data Acquisition Systems (SCADA). These systems have been focused on safety, and there are issues that they could be the target of worldwide terrorists. Along with the frequently rising internet-related attacks, there is indication that our degassing stations may similarly be susceptible; for that reason, it is essential to secure PLC and SCADA from undesired incidents. Recently, machine learning (ML) has been increasing interest in industrial systems to detect, identify, and store information. Therefore, we propose to apply an advance ML based on deep neural networks to the PLC system with the purpose of: 1) detecting anomalous or irregular PLC actions; 2) Optimizing the operation of systems and its facilities; 3) allowing the equipment to respond to changing and novel scenarios; 4) Making predictive maintenance possible. The SIMATIC S7-1214 CPU universal TIA platform was used as the main decision-making module. Experimental results demonstrate the effectiveness and utility of the proposed approach to process large amounts of data analytics and sensor measurements, allows it to spot potential problems and provide possible solutions.

Verification of critical software is a high priority but a challenging task for industrial control systems. Model checking appears to be an appropriate approach for this purpose. However, this technique is not widely used in industry yet, due to some obstacles. The main obstacles encountered when trying to apply formal verification techniques at industrial installations are the difficulty of creating models out of PLC programs and defining formally the specification requirements. In addition, models produced out of real-life programs have a huge state space, thus preventing the verification due to performance issues. Our work at CERN (European Organization for Nuclear Research) focuses on developing efficient automatic verification methods for industrial critical installations based on PLC (Programmable Logic Controller) control systems.In this paper, we present a tool generating automatically formal models out of PLC code. The tool implements a general methodology which can support several input languages, like the PLC programming languages defined in the IEC 61131 standard, as well as the model formalisms of different model checker tools. The tool supports the three main stages of model checking: system modelization, requirement formalization and counterexample analysis. In addition, a verification case study of a PLC program, written in Structured Text (ST) language implemented at CERN is described. The paper shows that the verification process is automatized and supported by the proposed tool, thus its difficulty is completely hidden for the control engineer.

A Programmable Logic Controller (PLC) is a standard industrial control device that provides a simple, yet robust, method of controlling manufacturing and dynamic processes. As a result of their low cost, adaptability, and reliability, PLCs are by far the most common control mechanism used by manufacturing businesses of all sizes for environment control, food processing, motion control, and automated test equipment. Yet even though PLCs are heavily used by industry, their use in teaching control theory concepts is uncommon for mechanical engineering programs. Traditional control systems engineering courses focus on the theory and mathematics of continuous-based control systems and rarely involve the use of PLCs, which provide an excellent platform to teach feedback control. Only a few programs have included a specific focus on non-continuous (on/off) control commonly used in industrial environments. In addition, learning ladder logic, a programming language for PLCs, can be difficult and seem unnecessary for those with a traditional programming background, such as C++. Recognizing the appropriate ways of how and when to use PLCs is a key factor in applying control theory effectively in an industrial or even a research environment This paper reviews the literature devoted to control systems education. It shows how academia is using PLCs in education and how it can complement the traditional focus on continuous-based control. A key objective of this paper is to review the PLC use in mechanical engineering education, which traditionally takes place in a control systems engineering course. This paper will also address a proposal by the authors that implementing PLCs into a control systems course for mechanical engineering students can enable a natural integration of continuous and non-continuous control theory.

Multiple input/output Programmable Logic Controller (PLC) module for educational purposes is fabricated because of current PLC Kit that was unable to enhance learners theoretical understanding and hands-on skill especially for programming, wiring, design of circuit and problem solving. The available PLC Kit comes with a casing which learners struggling in comprehend the theoretical knowledge, cabling connection between input components, PLC modules and output components respectively. Newly designed PLC modules are developed and fabricated with additional input and output devices, cost effective and user friendly. Moreover, this module come with multiple Input/Output (I/O) devices such as push buttons (normally open), DC motor (24V), DC relay (24V), DC solenoid piston cylinder (24V) and DC light (24V) and able to interfacing with different kinds of PLC controller produced by Matsushita, Omron, Siemens and etc. Through conducted surveyed, it is found that on average of 93.20% agreed that newly developed Multiple I/O PLC module is user friendly, safe and attractive to be used while 95.70% participants agreed that there are enhancements in theoretical understanding and hands-on skill aspect in their learning process.


 In this project, design and construction of an educational module has been carry out, allowing understand in a practical way, the concepts related to: control system, instrumentation, actuator, programmable logic controller, SCADA system and control algorithm. Module’s principal components are main tank, reserve tank, piping system, fittings, differential pressure transducer, turbine flowmeter, rotameter, control valve, solenoid valves, servovalve, centrifugal pump, PLC and a personal computer (PC). With this, automatic flow and water level control were achieve, through the implementation of a PID control algorithm. In the end, operation tests have been perform, generating changes in set point, and generating disturbances, to observe the response of the process and assess the control system.
 
 Keywords — control system, instrumentation, flow control, level control, PLC, SCADA, PID controller

Automated PLC Software Testing using adapted UML Sequence Diagrams