PID Control Technology Research Articles

Review of Research on Improved PID Control in Electro-hydraulic Servo System

Background: Proportional-integral-differential (PID) controller is widely used in the engineering field because of its simple structure, high control accuracy, and easy operation. Different patented PID control technologies have their own advantages, disadvantages, and application scenarios. Objective: By analyzing and discussing the improved PID control techniques in the electrohydraulic servo system, some valuable conclusions have been drawn to predict the future research and development of PID control techniques. Methods: The improved PID control techniques applied to electro-hydraulic servo systems are classified into three categories: PID parameter tuning technology, PID parameter online adjustment strategy and compound control strategy combined with PID algorithm. Results: By comparing the principles and characteristics of the above techniques, the advantages, disadvantages and application scenarios of each are analyzed, and the further development of PID control technology is discussed. Conclusion: Based on the characteristics of electro-hydraulic servo systems, the further combination of the three types of technology can make up for the shortcomings of PID algorithms to form a control strategy with high control accuracy, high robustness, and fast response speed.

Research and Optimization of Aircraft Remaining Oil Control System based on Fuzzy Algorithm

Aiming at the poor accuracy and stability of the existing aircraft remaining oil control system, an amount of oil remaining system for aircraft based on a fuzzy algorithm is proposed based on capacitance detection and mechanical detection, with the introduction of fuzzy algorithm optimized PID control technology. The system can form flight variables control system according to the error between the actual remaining oil and the ideal remaining oil and realize the stable control of the aircraft remaining oil. Furthermore, through targeted case analysis, the deviation of aircraft residual fuel before and after optimization is compared so as to further verify the reliability and feasibility of the designed aircraft residual fuel control system based on a fuzzy algorithm. In conclusion, the fuzzy algorithm is efficient in the optimization of the aircraft remaining oil control system.

An adaptive fuzzy control technique for a high‐speed vehicular platoon experiencing communication delays

AbstractVehicle platooning is seen as an enabler to improve driving safety, traffic congestion and stress‐free driving. A platoon is a highly non‐linear system and fuzzy control is able to deal with those systems. This paper presents a pioneering solution to the complex problem of vehicle platooning. Our adaptive controller seamlessly integrates fuzzy logic with conventional PID control technology, thereby ensuring safe and efficient travel for vehicles within a platoon. The key objectives of this controller encompass the maintenance of a consistent inter‐vehicle time gap and the consideration of time‐varying parameter uncertainties and communication delays between vehicles. It provides mathematical proof of the stability of the platoon formation using the Routh–Hurwitz theorem and a set of equations that describe the platoon's overall performance. Simulation results show that the proposed controller is effective in controlling vehicle platoons, even in the presence of random communication delays, resulting in improved driving safety and reduced traffic congestion.

A Cascade BP Neural Network Tuned PID Controller for a High-Voltage Cable-Stripping Robot

A 10 kV distribution network is a crucial piece of infrastructure to guarantee enterprises' and households' access to electricity. Stripping cables is one of many power grid maintenance procedures that are now quickly expanding. However, typical cable-stripping procedures are manual and harmful to workers. Although numerous automated solutions for grid maintenance have been created, none of them focus on cable stripping, and most of them have large dimensions to guarantee multi-functions. In this paper, a new cable-stripping robot for the 10 kV power system is introduced. The design of a live working cable-stripping robot that is appropriate for installing insulating rods is introduced, taking into account the working environment of 10 kV overhead lines and the structural characteristics of overhead cables. The robot is managed by an auxiliary remote control device. A cascade PID control technology based on the back propagation neural network (BPNN) method was developed, as the stripper robot's whole system is nonlinear and the traditional PID controller lacked robustness and adaptability in complex circumstances. To validate the structural feasibility of the cable-stripping robot, as well as the working stability and adaptability of the BPNN-PID controller, a 95 mm2 cable-stripping experiment are carried out. A comparison of the BPNN-PID controller with the traditional PID method revealed that the BPNN-PID controller has a greater capacity for speed tracking and system stability. This robot demonstrated its ability to replace manual stripping procedures and will be used for practical routine power maintenance.

Study on Fuzzy Control of Trawler Winch Based on AMESim

This paper introduces the rapid automatic control module of trawler based on the hydraulic system of ‘Zhejiang fishery scientific research ship No.2’.The hydraulic simulation model of double motor winch system is built in AMESim software, and SIMULINK module in MATLAB software designed closed loop fuzzy PID controller for hydraulic system simulation. through fuzzy PID control technology drives the hydraulic winch to quickly adjust the tension of the traction, maintain the stable balance of the traction force, maintain the optimization of network horizontal expansion, not only improve the fishing efficiency, but also timely and effective protection mesh. the technical achievements formed by the research will enable small and medium-sized trawlers to adjust the tension under various working conditions through the fuzzy PID control system to stabilize the opening shape of the trawl, so as to improve the automation level and fishing efficiency of related trawling equipment, and provide technical support for precision fishing.

Application of Artificial Neural Networks in Chemical Process Control

An important data-driven model is the artificial neural network. Artificial neural networks have been widely used in many domains of chemical processes due to its robustness, fault tolerance, self-adaptive capability, and self-learning ability. For the chemical process with nonlinearity and strong coupling, artificial neural networks can model and control the process well and make up for the lack of traditional PID control technology. As a result, ANN has emerged as a significant positive trend for chemical process control. In this paper, the principle, development history, and common structure of artificial neural networks are first outlined. Then the role of artificial neural networks in chemical process control is introduced in three aspects: improved PID control, improved model predictive control, and for hybrid models. The important effect of artificial neural networks in chemical process control is reflected by comparison. Finally, it is proposed that chemical process control can be more developed by applying more deep learning algorithms and developing multiple neural networks and hybrid models in chemical process control.

Self-tuning Method of Electronic Governor Parameters for Marine Medium-speed Diesel Engine

Xu, C. and Xu, H., 2020. Self-tuning method of electronic governor parameters for marine medium-speed diesel engine. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 378–381. Coconut Creek (Florida), ISSN 0749-0208.In view of the importance of electronic governor in marine diesel engine and the poor stability and fault-tolerance of the research results on parameter self-tuning, a self-tuning method of electronic governor parameter for marine medium-speed diesel engine based on fuzzy PID is proposed. Based on the electronic governor control system of diesel engine, the self-tuning environment of electronic governor parameters is built by using real actuator and rapid control prototype hardware, and the self-tuning scheme of electronic governor parameters is studied. Considering the non-linearity and time-varying characteristics of diesel engine, the self-tuning of electronic governor parameters is realized by using adaptive fuzzy PID control technology and variable universe idea. The experimental results show that the proposed method can effectively enhance the fault-tolerance in the process of parameter self-tuning by means of fuzzy control. Its stability is superior to the reference results, and it has reliability.

Drive control strategy of two-wheel independent drive electric vehicle

According to the advantages of two-wheel independent drive electric vehicle that the torque and rotational speed of the drive wheel can be easily measured, a driving control strategy of driving antiskid control and torque coordination control is proposed based on road surface identification slip rate and adhesion coefficient. The principle of road surface identification is given. According to the signals of wheel speed sensor, lateral acceleration, longitudinal acceleration and torque sensor, the wheel slip ratio, road surface adhesion coefficient, vertical force and longitudinal force are calculated. Combined with μ-S function curve proposed by Burckhardt et al., the road surface adhesion coefficient and optimal slip ratio are identified. Driving antiskid control strategy adopts PID control technology based on road surface identification of optimal slip rate, peak adhesion coefficient and optimal slip rate, which mainly includes four parts: establishment of wheel stress model of two-wheel independently driven electric vehicle, approximate calculation of slip rate and road adhesion coefficient, optimal slip rate estimation based on fuzzy control and PID controller design based on optimal slip rate. The torque coordination control adopts PID control method based on ideal yaw rate.

Design and Research of High-accuracy and Intelligence Test Device for Gas Water Heater Energy Efficiency

The research subject aims to solve the defects of slow test speed and inefficient for gas water heater energy efficiency. It not only applies modern sensor technology, high reliability data acquisition card, solenoid valve control technology and stable industrial computer, but also adopts LabVIEW language, PID control technology and flow stability judgment algorithms to develop an efficient, accurate and intelligent test system for gas water heater energy efficiency. The test results shows that the measurement repeatability of the test device is superior to the artificial test device and common intelligent test device, and the assessed measurement uncertainty meets the requirements of the national supervision and inspection technical specifications.

Fixed spray type anti-ice deicing control system design

This paper takes intelligent control technology as the core technology, combines with meteorological and road freezing information collection technology and water supply and drainage technology. Firstly, this paper introduces the design of grading subsystem of fixed spray type anti-ice and snow removal control system, and proposes a new type of nozzle suitable for the viaduct at the same time, which can improve spraying effect of the deicing liquid while improving safety guarantee. Then based on analysis of collected on-site road conditions and meteorological actual data and combined with logic control algorithm, a live ice and snow early warning mathematical model is designed to predict the snowy condition of the road surface, and automatically control equipment to spray deicing fluid before or after road icing.. It uses PID control technology to ensure pressure balance inside the spray pipe. The real-time field data is connected to the cloud server with 4G wireless transmission technology, and the existing data and current data are compared and analyzed through the recursive neural network, so as to further accurately predict the ice and snow situation, classify danger level according to national road safety standards, and release it to other platforms. Based on application of actual field, this paper designs a method that can be combined with prevention in advance and post-disposal to eliminate road icing and reduce risks of vehicle driving safety in severe weather.

Research on Fuzzy Control Algorithm and Application in Two-wheel Balance Vehicle

Since the emergence of traditional PID controller, traditional PID controller has become the main technology of industrial control because of its simple structure, good stability, reliable operation and convenient adjustment. When the structure and parameters of the controlled object have certain uncertainties and it is impossible to establish an accurate model, it is especially convenient to use PID control technology. A key issue in PID control is the tuning of the PID parameters. However, in practical applications, most industrial processes have problems such as nonlinearity and time-varying parameters in different degrees. Traditional PID control cannot achieve precise control of this. Fuzzy control based on fuzzy mathematics plays an increasingly important role in modern control because it has weak dependence on mathematical models and does not need to establish an accurate mathematical model of the process. Applying the fuzzy control algorithm to the control of the nonlinear model can achieve better results. Therefore, putting the perfect fuzzy control algorithm into a two-wheeled balance car for verification, and compared with the ordinary PID control algorithm, there are the relevant results.

A torsion balance device for measuring the gravity gradient

Based on the principle of torsion balance measuring gravity gradient, designed a torsion balance gravity gradiometer, consisting of a torsion balance system, an angle measurement system, an amplitude attenuation system, a turntable system, a vacuum container system. considering the stable time of torsion balance suspension system was too long, which had great impacted the efficiency of the gravity gradient measurement, designed an amplitude attenuation system in combination with PID control technology. Simulation results show that, the curvature and horizontal gravity gradient could be measured, the accuracy was as high as 0.5 E(1E = 1 × 10−9m/s2), and the limit efficiency of measuring a group of gravity gradients was better than an hour.

Research Based on AMESim of Electro-hydraulic Servo Loading System

Electro-hydraulic servo loading system is a subject studied by many scholars in the field of simulation and control at home and abroad. The electro-hydraulic servo loading system is a loading device simulation of stress objects by aerodynamic moment and other force in the process of movement, its function is all kinds of gas in the lab condition to analyze stress under dynamic load of objects. The purpose of this paper is the design of AMESim electro-hydraulic servo system, PID control technology is used to configure the parameters of the control system, complete the loading process under different conditions, the optimal design parameters, optimization of dynamic performance of the loading system.

Efficient VLSI Implementation of the C-MANTEC Conn Algorithm by Using PID Controllers

Through the research on the existing C-MANTEC neural network and PID control technology, this paper presents an improved C-MANTEC algorithm based on PID control system. The combining of the artificial neural networks with conventional PID control helps in exploring their respective advantages to forming the intelligent PID control. From UCI Repository cancer dataset, the developed system is tested. The results show that the scheme can not only improve the speed of the algorithm in the training process but also improve the generalization capability of the network, which further enhances the performance of PID controllers. The overall power consumed is also reduced to a greater extent.

The research of digital-PID and sliding mode control strategy for DC/DC converter

Based on the fixed frequency PWM control strategy, this paper introduces a DSP-based digital PID control technology and a sliding mode variable structure control theory for high frequency DC/DC converter in detail. Firstly, a traditional analogy sliding mode controller with the reaching law and a digital PID controller are designed, respectively. Then, experimental prototypes for two kinds of control systems for DC/DC converters are constructed, and comparative experiment are implemented. The experiment results show that the DC/DC converter by using digital PID controller has a fast dynamic response and high accuracy in the presence of the input voltage fluctuation and load variation.

The research of digital-PID and sliding mode control strategy for DC/DC converter

Based on the fixed frequency PWM control strategy, this paper introduces a DSP-based digital PID control technology and a sliding mode variable structure control theory for high frequency DC/DC converter in detail. Firstly, a traditional analogy sliding mode controller with the reaching law and a digital PID controller are designed, respectively. Then, experimental prototypes for two kinds of control systems for DC/DC converters are constructed, and comparative experiment are implemented. The experiment results show that the DC/DC converter by using digital PID controller has a fast dynamic response and high accuracy in the presence of the input voltage fluctuation and load variation.

Servo System Pid Control of Neural Network Algorithm Based on Lugre Model

Considering the parameters of the traditional PID control algorithm are not capable of online adjustment and do not have adaptive capability once they are determined, which can not satisfied the precision control requirement of servo system with complex nonlinear friction, a PID controller based on radial basis function neural network (RBFNN) is designed, the advantages of RBFNN such as infinity approaching nonlinear system, little operation quantity and speedy constringency are combined with PID control technology organically to obtain high position tracking accuracy. The simulate results show that compared with common PID control, the RBFNN PID controller can adaptively adjust the controller parameters, greatly improving the control precision of the system.

Research on Fuzzy Mathematics in PID Control

Aiming at the limitation of traditional PID algorithm in the field of control, the fuzzy control theory and traditional PID control algorithm are combined to realize parameter self-tuning function, a fuzzy self-tuning PID controller, and this algorithm is analyzed in-depth study. It provides a new solution of modern industrial control problem that combining with fuzzy control technology and PID control technology. The FPGA has high integration, short development cycle, the characteristics of strong reusability; fuzzy PID controller has a good practical value and optimistic application prospect based on FPGA.

The Environment Monitoring System of Refuge Cabin and its Simulation Based on Fuzzy-PID Algorithm

In order to improve people's chances of survival, Multifunctional fire refuge compartment, a kind of emergency equipment, was invented when a high-rise building breaking out of fire. One key component of it is the environmental monitoring system of refuge cabin. Meanwhile, to ensure that the refuge chamber system can respond quickly and be stable operation, it takes an kind of intelligent control technology which combined with traditional PID control(Proportion、Integration、Differentiation)and fuzzy control technology, namely fuzzy PID control to regulate. In this paper, combined with the fuzzy control technology, we discuss the fuzzy self-tuning PID control method of refuge cabin environment monitoring system. Try to make digital processing of control system by MCU(Micro Control Unit), we use the Simulink and Fuzzy toolbox in MATLAB to simulate the refuge compartment cooling system which using the fuzzy PID control method and compare with the conventional PID control. The result shows that Fuzzy-PID control method reduces the overshoot of the system, shortens the settling time, decreases steady-state deviation, improves the static and dynamic characteristics of the system effectively. Finally, it can enhance the reliability and adaptability of the system.

Shipboard Radar Servo System PID Parameters Turning Based on Simulink

This paper expounds the structure and principle of shipboard radar servo system, according to traditional PID parameter tuning problem, the parameter self-tuning fuzzy PID control technology is applied to the servo system position loop, through the simulation experiments show that the method can 't depend on the mathematic model of the system, and according to the relation between input and output of the PID parameters on-line adjustment, automatic adjustment loop bandwidth, increase the system dynamic performance and steady performance, strong robustness and adaptability.