Pump Control System Research Articles

Rancang Bangun Miniatur Plant Pusat Simulator Pompa Air Kotor Menggunakan Panel Kontrol Relay Kontaktor

Water pumps play an important role in the management of wastewater, particularly in maintaining environmental cleanliness and health. This research aims to design and create a miniature plant simulator for wastewater pumps using a relay contactor control panel. This miniature plant is designed to simulate the operation of the wastewater pump system automatically, replacing the often inefficient manual methods. The research process begins by determining the main components needed, such as a three-phase induction motor, contactors, thermal overload relays, and related sensors. Subsequently, the design and construction of the simulator and its control panel are carried out. Implementation includes testing the functionality of each component and the integrity of the overall system, including individual component testing and testing under system failure conditions. The research results show that the miniature plant simulator built functions well as expected. The automatic control system using relay contactors has proven effective in operating the water pump efficiently and safely. This miniature plant can be used not only as a learning tool but also as a prototype for developing larger and more complex wastewater pump control systems

Energy-saving cruise control method for heavy-duty transport vehicle based on pump-valve coordinated drive

In order to realize the dual-goal of the improvement in the cruise performance and fuel economy of the heavy-duty transport vehicle (HDTV) for the transfer of the prefabricated box-girder in the construction of high-speed railway, a pump-valve parallel coordinated drive scheme is designed on the basis of the hydrostatic drive system of the HDTV, which combines the load-sensing valve control system and hydrostatic pump control system. Furthermore, the pump-valve coordinated controller (PVC) is also proposed to ensure the cooperation of the two systems, which adopts power following control strategy to control engine speed, the pump and motor displacement respectively, thus achieving the rough adjustment of the cruise velocity. The linear quadratic regulator (LQR) based on the full-state closed-loop feedback is introduced in PVC to control the proportional direction-valve (EPDV) and compensate for the velocity errors, thus realizing the fine adjustment of cruise velocity. A semi-physical experimental test-platform for the HDTV is established to conduct contrast tests between the rule-based controller (RBC) and the proposed PVC under different operating conditions. The results indicate that the PVC effectively reduces the velocity error, the total error is decreased by 80.6% and that of the maximum error is 43.4% under empty-load conditions, and under heavy load conditions, the total error is lowered by 82.1% and that of the maximum error is 46.8%. Moreover, the PVC also brings down the fuel consumption rate of the HDTV, with a maximum reduction of 27.6% and a minimum of 11.4%.

Transforming Hydroponics with IoT for Sustainable Water Management

General Background: Urbanization is reducing agricultural land, necessitating innovative cultivation techniques like hydroponics to thrive in limited spaces. Specific Background: The study investigates the use of IoT technology in hydroponic systems, specifically focusing on remote monitoring and control of water pumps for efficient resource management. Knowledge Gap: Limited research has explored the use of IoT in optimizing water pump operations in hydroponic systems, focusing on energy management and remote accessibility. Aims: The research aims to create an IoT-based automated water pump control system for hydroponics, enabling remote monitoring and evaluating its energy efficiency and operational effectiveness. Results: The experimental setup, including an ESP32 microcontroller, ADS1115 module, solar charger controller, and submersible pump, demonstrated optimal performance with a time-based control strategy, achieving 96.7% current and 97% voltage accuracy. Novelty: The study showcases a successful model for integrating IoT in hydroponic systems, thereby enhancing sustainability and operational efficiency. Implications: The study underscores the potential of IoT technologies in enhancing water management in hydroponics, thereby providing a feasible solution to contemporary agricultural challenges in space-constrained environments. Highlights: IoT Integration: Remote control enhances hydroponic system monitoring and efficiency. Energy Optimization: Effective solar charging improves automated water pump performance. Real-time Monitoring: Enables accessible tracking from significant distances via smartphones. Keywords: Hydroponics, IoT, Water Management, ESP32, Energy Efficiency

Nonlinear flow modeling of electro hydrostatic pump unit based on Gauss Newton iterative method for high performance control

For the electric hydrostatic pump unit (EPU), which is a crucial component in the electro hydraulic servo pump control system (EHSPCS), nonlinear flow modelling is a key challenge to achieve high performance operation, especially in position control. For the nonlinear flow of EPUs, simple linearization combined with compensation has become a popular control method recently. However, the control performance is constrained by the reliance on deviation correction. This paper proposes utilizing the Gauss Newton iterative method to investigate the nonlinear flow modeling in the EPU, aiming to obtain the mapping relationship between the load flow and operating parameters in the EPU, thereby directly improving the control performance. A nonlinear flow model is built by utilizing the Gauss Newton iterative method based on test data obtained from various operating conditions, and the mapping relationship is presented accordingly. Experimental studies show that compared to well-established methods, this model exhibits high accuracy and practicality in improving the control performance, particularly in position control of the EPU.

Prototype of Microcontroller Based Water Pump Control System for Lettuce Plants Using Fuzzy Tsukamoto

Prototype of Microcontroller Based Water Pump Control System for Lettuce Plants Using Fuzzy Tsukamoto

Water Pump Wireless Monitoring and Control System

Water Pump Wireless Monitoring and Control System

An internet of things-based pump and aerator control system

Small-scale shrimp farmers in Hamparan Perak District, Deli Serdang Regency, Indonesia, conduct direct water quality supervision and manually use aerators and water pumps. Thus, it is inefficient in meeting the water quality required for shrimp farming and using production costs. This study aims to test the performance of an internet of things (IoT)-based prototype in supervising and controlling the aerator and pump in a shrimp pond. This prototype comprises an ESP32, three sensors: the DS18B20 sensor, MLX90614 sensor, and JSN-SR04T sensor, and two relays to control the aerator and pump automatically. Prototype testing is done directly on shrimp ponds by placing the prototype in an electrical panel connected to a power circuit. Based on the study's results, it is known that the prototype can measure water temperature. The water level and temperature of the aerator motor are pretty accurate. In addition, the prototype can also control the aerator and water pump well and send notifications to users automatically via smartphones.

Load sensitive control characteristics of a novel two-dimensional pulse width modulated variable mechanism

Load sensing technology is a typical hydraulic technology that automatically meets load requirements by adjusting the pressure and flow at the pump outlet. Traditional load sensitive pump control systems rely on variable mechanisms to achieve such flow control characteristics. However, general variable mechanisms have complex structures and poor dynamic performance if frequently adjusted. Therefore, a new variable mechanism, named two-dimensional pulse width modulation rotary valve, is proposed. Different from the pulse width modulation control method of the electronic technology, the two-dimensional pulse width modulation rotary valve conducts secondary distribution of the quantitative pump output in the way of fluid pulse width modulation: the valve core rotates to generate discrete fluid, and the axial sliding of the valve core controls the duty ratio of the discrete fluid. The dynamic balancing of the axial displacement is controlled by feedback pressure to provide a fixed differential pressure for the control valve, achieving that the flow through the control valve is uniquely controlled by the valve opening of the control valve. The principle of the fluid pulse width modulation is first introduced, and then the mathematical model of the proposed variable mechanism and the corresponding system is established. Simulation analysis is implemented. Finally, the effectiveness of the load sensing system controlled by a two-dimensional pulse width modulation rotary valve is verified by the experiment.

WATER PUMP CONTROL BY LORA FREQUENCY

This study investigates the use of LoRa frequency modulation in agricultural settings for water pump control systems. The paper explores the adaptability and efficacy of LoRa technology in tackling important issues associated with resource optimization, environmental monitoring, and water management in agriculture through an extensive examination of the literature. The research demonstrates how LoRa may transform current farming processes by facilitating data transfer, automation, and monitoring across a range of agricultural setups. Additionally, based on particular application needs, the comparative study of LoRa frequencies at various MHz ranges provides insights into well-informed decision-making for frequency selection. An essential component that enables remote monitoring, automation, and data-driven decision-making to improve productivity, sustainability, and resource efficiency in agriculture is the integration of IoT devices with LoRa technology. The focus on security measures highlights how crucial it is to protect private agricultural data from online attacks. Even with encouraging results, security, scalability, and reliability issues still exist, requiring more study and development to improve network efficiency, hone communication protocols, and find new uses for LoRa in agriculture. Through the perspective of LoRa technology, this study advances knowledge and use of IoT solutions for agricultural sustainability. Key Words: Lora frequency modulation, water pump, agricultural IoT, environmental optimization.

Force Compensation Control for Electro-Hydraulic Servo System with Pump–Valve Compound Drive via QFT–DTOC

Each joint of a hydraulic-driven legged robot adopts a highly integrated hydraulic drive unit (HDU), which features a high power–weight ratio. However, most HDUs are throttling-valve-controlled cylinder systems, which exhibit high energy losses. By contrast, pump control systems offer a high efficiency. Nevertheless, their response ability is unsatisfactory. To fully utilize the advantages of pump and valve control systems, in this study, a new type of pump–valve compound drive system (PCDS) is designed, which can not only effectively reduce the energy loss, but can also ensure the response speed and response accuracy of the HDUs in robot joints to satisfy the performance requirements of robots. Herein, considering the force control requirements of energy conservation, high precision, and fast response of the robot joint HDU, a nonlinear mathematical model of the PCDS force control system is first introduced. In addition, pressure–flow nonlinearity, friction nonlinearity, load complexity and variability, and other factors affecting the system are considered, and a novel force control method based on quantitative feedback theory (QFT) and a disturbance torque observer (DTO) is designed, which is denoted as QFT–DTOC herein. This method improves the control accuracy and robustness of the force control system, reduces the effect of the disturbance torque on the control performance of the servo motor, and improves the overall force control performance of the system. Finally, experimental verification is performed using the PCDS performance test platform. The experimental results and quantitative data show that the QFT–DTOC proposed herein can significantly improve the force control performance of the PCDS. The relevant force control method can be used as a bottom-control method for the hydraulic servo system to provide a foundation for implementing the top-level trajectory planning of the robot.

NT-proBNP detection with a one-step magnetic lateral flow channel assay

Point-of-care sensors targeting blood marker analysis must be designed to function with very small volumes since acquiring a blood sample through a simple, mostly pain-free finger prick dramatically limits the sample size and comforts the patient. Therefore, we explored the potential of converting a conventional lateral flow assay (LFA) for a significant biomarker into a self-contained and compact polymer channel-based LFA to minimize the sample volume while maintaining the analytical merits. Our primary objective was to eliminate the use of sample-absorbing fleece and membrane materials commonly present in LFAs. Simultaneously, we concentrated on developing a ready-to-deploy one-step LFA format, characterized by dried reagents, facilitating automation and precise sample transport through a pump control system. We targeted the detection of the heart failure biomarker NT-proBNP in only 15 µL human whole blood and therefore implemented strategies that ensure highly sensitive detection. The biosensor combines streptavidin-functionalized magnetic beads (MNPs) as a 3D detection zone and fluorescence nanoparticles as signal labels in a sandwich-based immunoassay. Compared to the currently commercialized LFA, our biosensor demonstrates comparable analytical performance with only a tenth of the sample volume. With a detection limit of 43.1 pg∙mL−1 and a mean error of 18% (n ≥ 3), the biosensor offers high sensitivity and accuracy. The integration of all-dried long-term stable reagents further enhances the convenience and stability of the biosensor. This lateral flow channel platform represents a promising advancement in point-of-care diagnostics for heart failure biomarkers, offering a user-friendly and sensitive platform for rapid and reliable testing with low finger-prick blood sample volumes.Graphical abstract

Health assessment of an electro-hydraulic servo pump control system for servomotor based on LGA deep neural network

Due to its advantages of having a high power-to-weight ratio and being energy-efficient, the electro-hydraulic servo pump control system (abbreviated as EHSPCS) is frequently employed in the industrial field, such as the electro-hydraulic servo pump control (EHSPC) servomotor for steam turbine valve regulation control. However, the EHSPCS has strong nonlinearity and time-varying features, and the factors that cause system performance degradation are complex. Once a system failure occurs, it may lead to serious accidents, causing serious casualties and economic losses. To address the above issues, a system health assessment method based on LSTM-GRNN-ANN (LGA) deep neural network is proposed in this paper. Firstly, with oil volume gas content, servo motor air-gap flux density, and system leakage coefficient as the health assessment performance indicators, a health assessment performance index system for the EHSPCS is built, Furthermore, the system performance index threshold is set. Secondly, an LGA deep neural network is constructed by combining LSTM, GRNN and ANN, and a deep neural network based on the LGA is used to create an EHSPCS health assessment model. Subsequently, system feature parameter extraction, algorithm design, and parameter debugging are carried out. Finally, an EHSPCS experimental platform is established, typical system failure simulation experiments are designed, and comparative experimental analysis is conducted. The experimental findings demonstrate that the average accuracy of the system health assessment model based on the LGA deep neural network suggested in this paper is 96.37%, compared to 89.84%, 87.99% for LSTM and GRNN, which validates the accuracy of the system health assessment model based on the LGA deep neural network.

Assessment of the Operation of the Pump Control System Using the PID Controller

The purpose of this project was to design and construct an experimental setup enabling pump operation to be controlled and ensuring the smooth regulation of its efficiency. The closed liquid circuit is equipped with a throttling valve to slow down the flow. In addition, flow meters were used in the installation to enable the flow to be measured. Ultimately, after choking the flow, the pump could be controlled in such a way that maintained the set flow value. The PID controller fulfilling this function can be configured by changing its settings. In this way, an expiermintal setup can demonstrate the influence of individual elements of the regulator on the efficiency of regulation. This work is a continuation of further research related to the project number: 006/RID/2018/19 financed under the program Ministry of Science and Higher Education.

Energetic and highly reliable photovoltaic power source assisted water pump control system design using IoT

The tools used in agriculture are evolving quickly. The advancement of farming technology, farm infrastructure, and manufacturing facilities is ongoing. Numerous photovoltaic (PV) systems may be used in agriculture. These use cases include both standalone installations and larger systems put in place by utilities when they determine that PV technology is the most cost-effective way to meet a specific remote agricultural demand, such water irrigation for fields or cattle. The heart and soul of a solar-powered water pumping system are two solar panels. The solar cell is the smallest component of a photovoltaic panel. Here, we connect the ESP module's outputs to those from sensors installed in the PV panels' controller and water pump. With the use of the GSM module, the main controller unit may show the status of each module, such as whether the motor is on or off, on the administrator's mobile phone. In the event of a motor failure, the malfunctioning component can be identified. Challenges to agricultural land development include transport and road conditions. In this study, we'll look at the numerous options open to the farmer. The primary goal of this study is to develop a solar-powered, Internet of Things (IoT) and GSM-controlled water pump. This reduces the need for human labour (from farmers) in outlying areas. The farmer's mobile device serves as the hub for all activities.

The design and analysis of a hydro-pneumatic energy storage closed-circuit pump control system with a four-chamber cylinder

A decentralized variable electric motor and fixed pump (VMFP) system with a four-chamber cylinder is proposed for mobile machinery, such that the energy efficiency can be improved by hydro-pneumatic energy storage, and problems of closed-circuit pump-controlled systems including asymmetrical flow and speed limitation are addressed. One of the chambers is arranged to the energy storage accumulator to increase energy efficiency, while the other chambers are flexibly connected to the pump ports to achieve variable transmission ratios. The piston areas of the multiple chambers are designed at first to permit a symmetric single-rod cylinder, and secondly a switching system with three operating modes is presented to expand force-velocity capabilities. Then, the four-chamber cylinder system with three solenoid valves is designed to substitute for the traditional two-chamber boom cylinder in a 6-ton excavator. A valve switching logic, as well as a feedforward and feedback compound speed controller, are presented. Simulations conducted in a 6-ton excavator model show that the maximum velocity increases by 66 %, together with asymmetrical flows to diminish the low-pressure charging accumulator. Peak power and energy consumption are both reduced by more than 20 % compared with the VMFP using the two-chamber cylinder. The energy-saving characteristics of the 6-ton excavator are emphatically analyzed considering energy storage and re-utilization. At last, experiment verifications are conducted in a lifting mechanism to verify the proposed energy-storage system.

Review of the Progress of Energy Saving of Hydraulic Control Systems

In many different industrial domains, hydraulic control systems are extensively utilized. This paper examines the current state of research and the trajectory of energy-efficient hydraulic control system development. Initially, a quick introduction to the control principles of hydraulic control systems is given. Secondly, hydraulic control systems are classified, the factors affecting the energy consumption of hydraulic control systems are analyzed, and the method of reducing its influence on hydraulic control systems is given. Subsequently, research concerning energy conservation is compiled based on the classification of hydraulic control systems. In this paper, the circuit structure of two control modes of a hydraulic control system (valve control system and pump control system) and their related control algorithms (fuzzy PID control, adaptive robust control) for reducing system energy consumption are studied. In summary, the evolution of energy-efficient hydraulic control system approaches is forecasted and projected, offering some pointers for advancing hydraulic control system study and implementation in the industrial future.

Multi-Objective Optimization of Kinetic Characteristics for the LBPRM-EHSPCS System

As the ‘heart’ of energy vehicles, the lithium-ion battery is in desperate need of precision improvement, green production, and cost reduction. To achieve this goal, the electro-hydraulic servo pump control system (EHSPCS) is applied to the lithium-ion battery pole rolling mill (LBPRM). However, this development can lead to limited dynamic performance and large power loss as a result of the EHSPCS unique volume direct-drive control mode. At present, how to solve this conflict has not been studied and how the EHSPCS component parameters influence the dynamic response, power loss, and economic performance is not clear. In this paper, a multi-objective optimization (MOO) model for the LBPRM-EHSPCS is proposed by comprehensively considering the dynamic, efficiency, and economic characteristics. Firstly, the evaluation model of the dynamic response, power loss, and cost is investigated. Then, the NSGA-II algorithm is introduced to address the Pareto front of the MOO model. Finally, the power loss and dynamic response of the LBPRM-EHSPCS before and after optimization are tested to validate the viability of the raised method. Results indicate that power loss is decreased by as much as 7.2% while steady-state precision is greatly improved after optimization. The proposed framework enhances the performance in lithium-ion battery manufacturing and can be applied to other kinds of hydraulic systems.

Pump-Controlled AGC Micro-Displacement Position Control of Lithium Battery Pole Strip Mill Based on Friction Model

Electrode roll-forming refers to rolling a battery electrode into a preset thickness through the electro-hydraulic servo pump-controlled hydraulic roll gap thickness automatic control system (known to as pump-controlled AGC). Compared with the motor servo system, the friction problem of the electro-hydraulic servo system is more serious and the friction problem of the actuator itself is very prominent. Moreover, low-speed performance is one of its core indicators, the friction phenomenon is the most abundant during the low-speed stage and the impact on the servo system is also the most obvious. Therefore, for high-performance electro-hydraulic servo control, friction compensation is not only unavoidable, but also a very difficult problem. Aiming to influence the friction on the position control of the pump-controlled system of a lithium battery pole strip mill, the rolling mechanism and process procedure under micro-displacement position control based on the friction model were studied and compared from the perspective of considering friction factors, and a friction compensation controller based on the LuGre model was designed. The control precision of a pump-controlled AGC system was improved through combination with an adaptive robust controller. Because of the diversity of unmeasurable states of the system, a dual observer was designed, and the known model of the system was added to the observer. In the final comparative experiment, the steady-state accuracy of the friction adaptive robust compensation controller system based on the LuGre model reached ±0.3 μm, which is superior to the fuzzy IMC compensation and traditional PID control strategies.

Design of flow controller for aviation electric fuel pump

In order to meet the demand of high-precision flow control and modular design of aviation electric fuel pump control system, the flow controller is analyzed and designed from the demand of aviation engines for electric fuel pump. Tests show that the steady-state control deviation of the controller is no more than 1% for mass flow rate, and the dynamic control deviation of mass flow rate is no more than 3% in the range of 50kg/h~2000kg/h. A flow controller with high integration degree, high control accuracy and excellent dynamic characteristics for new pump-control system was designed for aero engine.

Моделирование системы управления насосом охлаждения главного дизеля в среде MATLAB Simulink

The article considers simulating the main diesel cooling pump control system in the MATLAB Simulink envi-ronment. Simulating is performed to demonstrate the operation of the upgraded main diesel cooling system. The need to modernize the pump control system comes from the fact that in the original system there is no possibility of adjusting the speed of electric motor rotation, the coolant temperature is regulated only according to the readings from the temperature sensor at the outlet of the main diesel engine, and adjusting the rotation speed of the electric motor in relation to the operating mode of the main diesel engine is not provided. The upgraded control system consists of four sensors (coolant temperature sensor located at the outlet of the main diesel engine, coolant temperature sensor located at the main diesel inlet, sea water temperature sensor and tachogenerator), a fuzzy logic controller and a frequency converter. The frequency converter changes the magnitude and frequency of the voltage supplied to the electric motor, depending on the magnitude of the signal from the fuzzy logic controller. The value of the signal from the fuzzy logic controller depends on the value of the signals from the temperature sensors and the tachogenerator and is determined in accordance with the algorithm written in Simulink. The new system will make it possible to cool the engine more efficiently, due to taking into account the operating mode of the main diesel engine (rotation speed) and will maintain the recommended temperature difference between the coolant at the inlet and outlet of the main diesel engine.