PID Simulation Research Articles

Research on underwater motion modeling and closed-loop control of bionic undulating fin robot

Aiming at the problems of unclear underwater motion characteristics and poor robustness of bionic undulating fin robots, the underwater motion characteristics of the robot are studied by force analysis and numerical simulation, and the dynamic model is established. Based on the dynamic model, the proportional-integral-derivative controller (PID) and neural network PID simulation model are established for numerical simulation, and the robot's underwater closed-loop motion control experiment is carried out. The accuracy of the dynamic model and the consistency between the numerical simulation and the experimental results can be verified. The results indicate that under the function of the neural network PID controller, the robot can be closer to the target depth, and the fluctuation range could be smaller. As the above characteristics improve, the control accuracy and stability of the robot could also be enhanced.

Intelligent Tuning PID Controller, Simulation and Comparison for a Quadrotor

Intelligent Tuning PID Controller, Simulation and Comparison for a Quadrotor

Mechanical system PID simulation based on simulink

Mechanical system PID simulation based on simulink

Design of Double Tank Liquid Level Control System Based on Fuzzy PID

Liquid level is one of the main parameters in industrial production process control. There are many problems such as interference and delay in the dual capacity water tank. It is usually difficult to meet the strict production requirements with the conventional PID control scheme. The corresponding transfer function is firstly deduced through the material balance equation in this article. By testing, the performance of conventional PID needs to be further improved. Then build the fuzzy PID model in Matlab/simulink and carry out simulation verification. By comparing with the PID simulation effect, the results show that under fuzzy PID control, the overshoot of the system is effectively reduced and the adaptability is strong. It reflects that the control strategy has a good reference value.

PID control and simulation of moving mass quadcopter UAV

Based on the quadrotor drones we see today, in this paper, a mass center control mechanism installed on the body is proposed to control the flying attitude of the UAV. The moving mass control technology changes the position of the center of mass by moving the position of the mass block of the system. The technology is used in a wide range of aircraft, from drones to gravity satellites. The moving mass center mechanism mentioned in this paper is composed of three sliding blocks that can slide along the spatial axes and are controlled by a linear motor. The linear motor controls the slider movement to generate the torque along different channel directions, to realize the attitude change of the UAV. In this paper, through the kinematics analysis of the quadrotor UAV, combined with PID control and simulation, finally realized the modification of the UAV’s flight attitude with moving mass technology. The simulation results show that the quadrotor UAV can complete the attitude conversion stably with the help of the mass center control mechanism.

Design, Simulation, Analysis and Optimization of PID and Fuzzy Based Control Systems for a Quadcopter

Unmanned aerial vehicles or drones are becoming one of the key machines/tools of the modern world, particularly in military applications. Numerous research works are underway to explore the possibility of using these machines in other applications such as parcel delivery, construction work, hurricane hunting, 3D mapping, protecting wildlife, agricultural activities, search and rescue, etc. Since these machines are unmanned vehicles, their functionality is completely dependent upon the performance of their control system. This paper presents a comprehensive approach for dynamic modeling, control system design, simulation and optimization of a quadcopter. The main objective is to study the behavior of different controllers when the model is working under linear and/or non-linear conditions, and therefore, to define the possible limitations of the controllers. Five different control systems are proposed to improve the control performance, mainly the stability of the system. Additionally, a path simulator was also developed with the intention of describing the vehicle’s movements and hence to detect faults intuitively. The proposed PID and Fuzzy-PD control systems showed promising responses to the tests carried out. The results indicated the limits of the PID controller over non-linear conditions and the effectiveness of the controllers was enhanced by the implementation of a genetic algorithm to autotune the controllers in order to adapt to changing conditions.

Design of self-heating test platform for sulfide corrosion and oxidation based on Fuzzy PID temperature control system

In this paper, the changes of oxidation temperature of sulfide corrosion and the deficiency of distributed optical fiber application were analyzed. The test platform of oxidation temperature of sulfide corrosion was established, and the performance test of optical fiber and the simulation of oxidation temperature of sulfide corrosion were realized. The hardware part of the control system used STM32 as the controller, the software part was based on the process characteristics of the controlled object, using MATLAB to carry out the simulation of PID, fuzzy, fuzzy PD plus I, fuzzy PID algorithms, and their performance are evaluated using both single indexes and comprehensive indexes. The experimental results also showed that the proposed fuzzy PID can achieve better control performance with less overshoot and shorter setting time. Therefore, the fuzzy PID was chosen as the temperature control algorithm to build the optical fiber sensor test platform, and an alarm method for testing the oxidation temperature of large area sulfide corrosion based on the optical fiber performance was obtained. Then, considering the influence of spatial resolution on optical fiber sensor, this paper used piecewise PID to simulate the temperature rise process of three stages of sulfurization corrosion and oxidation. The results showed that the alarm method of oxidation temperature of sulfurization corrosion has limitations for small-scale oxidation of sulfurization corrosion, and it needed to be combined with machine learning to identify temperature anomaly.

Neural Network Ship PID Control and Simulation Based on Grey Prediction

Song, Q.H. and Wang, D.D., 2020. Neural network ship PID control and simulation based on grey prediction. In: Al-Tarawneh, O. and Megahed, A. (eds.), Recent Developments of Port, Marine, and Ocean Engineering. Journal of Coastal Research, Special Issue No. 110, pp. 299–303. Coconut Creek (Florida), ISSN 0749-0208.Traditional PID is difficult to be applied in large inertial system. It is determined by a large number of engineering experiments, which brings great limitations to the practical application of PID; and the traditional PID control algorithm cannot be applied to the load change, so the control results is always not good enough to be used in the precision requirement. In the paper, the grey prediction control and neural network are combined, and a neural network ship PID control strategy based on grey prediction is proposed, since the grey prediction algorithm needs a small amount of data and small computation load. The simulation results show that the new ship PID self-tuning algorithm is feasible and effective. It can be used in the change of the target parameters, and has strong anti-interference and reliability.

Active Disturbance Rejection Control of Valve-Controlled Cylinder Servo Systems Based on MATLAB-AMESim Cosimulation

The valve-controlled cylinder position servo system has the advantages of large output force and large power. As characteristics of nonlinearity and uncertainty exist in the hydraulic servo system, it is difficult for the traditional PID control to meet the requirements of high precision and control. The active disturbance rejection control (ADRC) considers the uncertainty of the system and external disturbances as the total disturbance. In this paper, the valve-controlled cylinder servo system is designed based on ADRC, its working principle is described, and its mathematical model and cosimulation model based on MATLAB-AMESim are established. In the case of constant load, variable load, and long pipeline, the comparative simulation of ADRC and PID is carried out. The simulation results show that the ADRC can effectively suppress the disturbance of the internal parameter changes and external load changes of the hydraulic system and has strong robustness and high control accuracy. This study provides a reference for the application of ADRC in electrohydraulic servo systems.

Kinematic modelling and simulation of PID controlled SCARA robot with multiple tool end effector

Kinematic modelling and simulation of PID controlled SCARA robot with multiple tool end effector

Kinematic modelling and simulation of PID controlled SCARA robot with multiple tool end effector

At present, a mechatronics approach is adopted to develop and control an electromechanical system like robots. In this paper, the three-dimensional (3D) computer aided drawing (CAD) model of selective compliant assembly robot arm (SCARA) with a multiple tool end effector (MTEE) was developed using SolidWorks software and the novel attempt of PID controller-based simulation was carried out in SimMechanics simulation environment of MATLAB software is presented. By linking CAD Modelling SolidWorks and MATLAB/SimMechanics software, the 3D CAD model of the SCARA is transformed into series of blocks representing the multibody electromechanical system. The motion sensing capability and the simulation modes of SimMechanics incorporated with PID controller are applied for the position control of robotic manipulator joints to make the end effector to reach the target position accurately. The results of the SimMechanics simulation presented in this paper infer the suitable parameters to position of the manipulator can be controlled precisely.

Automatic Coffee Mixer Simulator with Tunning PID Methode on LabVIEW

Abstract - Coffee is a drink that many people consume as an encouraging and casual meal. Coffee consumption can eliminate boredom due to daily activities. Therefore, coffee is very beneficial for people who enjoy coffee. But in serving doses of making coffee drinks in stalls or cafes still use manual methods, so the dose of coffee is not right. Every time you make a large amount of coffee drinks there may be several coffee drinks with different flavors. Therefore an automatic coffee maker is made so that the resulting coffee drink has the same taste. The system design for automatic coffee drink makers uses the LabVIEW application program, with the PID controller method to get the coffee content that you want to serve. The parameters of the content to be regulated are coffee, milk and sugar by setting the value of Kp = 398.52; Ki= 3.06; and Kd= 0.765. By setting a point, the value of the mixed content will remain stable as desired. Keyword : PID, Tunning PID, Coffe Mixer Simulation, LabVIEW, PID simulation, Coffe Mixer PID

Simulation of PID and fuzzy logic controller for integrated seat suspension of a quarter car with driver model for different road profiles

Passenger travel comfort is important while analyzing the vibration control of a quarter car model. To achieve the same, various control strategies are employed by the researchers for a 2 Degree of freedom (DOF) quarter car model. We analyzed travel comfort of the passenger by designing and simulating the PID controller and Fuzzy logic controller (FLC) for an 8 DOF quarter car with integrated seat suspension and driver model. While testing the performance of the controllers, the system was subjected to four types of road disturbance individually. The responses were compared with each other along with the passive system. The results show that FLC increases the ride quality better than the PID and passive system.

Nonlinear Control of Electronic Throttle Based on Backstepping Approach

In order to overcome the disadvantage of the non-linear attribute of electronic throttle and the deficiency of traditional PID controller, a control strategy is proposed based on backstepping method， in which the throttle position tracking is taken as control object, and the structure of the electronic throttle is analysed, a mathematical model of the electronic throttle is established. A backstepping controller is also designed based on Lyapunov stability theory. Step, slope and sine waves are taken as target signals respectively to complete tracking control simulation by two control strategies: PID and backstepping, the simulation result indicates that backstepping control has good dynamic characteristics, step response time is less than 100 ms and its control effect is significantly better than that of PID. In addition, PID simulation can not reflect the torque in actual system reset spring, the simulation is different with actual waveform, and the Backstepping simulation based on the control model of nonlinear system is more in line with the actual, this type of control can effectively solve the contradiction between fast response and large overshoot in time-varying non-linear system.

Research on Control Strategy of Hydro-Viscous Driven Fan Cooling System

The paper proposes a cascade control strategy of speed feedback in inner loop and temperature feedback in outer ring for hydro-viscous driven fan cooling system, and compares the simulation of PID and fuzzy PID. The simulation result shows that the double-loop control system while the response time longer, but much smaller overshoot, can achieve a good feedback to adjust the fan speed and temperature and realize stepless speed regulation of hydro-viscous driven fan cooling system under the premise of stability for fan speed and system temperature.

Simulation and Implementation of Adaptive Fuzzy PID

With the exponential growth of the Internet traffic, congestion problems become severe. To solve these severe problems, the Internet Engineering Task Force (IETF) recommends implementing the Active Queue Management (AQM) mechanism on the Internet routers. This paper introduces a robust AQM algorithm, called Adaptive Fuzzy Proportional Integral Derivative (AF-PID), which adaptively tunes the parameters to overcome the sensitivity of parameters settings for dynamic Internet environments. It's more important that we have operated comparison experiments between Droptail, RED, PID and AF-PID algorithm under seven different scenario s by NS2 simulation software. The experimental results definitely proved the performance of the AF-PID algorithm is of great superiority. Furthermore, we have built up a network test bed with IPCOP as the router successfully, and embedded with the AF-PID algorithm, which once again proved that AF-PID algorithm is not only easy to implement on real network, but also c onsistent with the simulation result s under the same scenario

Intelligent Solution for Transmission Line Management for Three Phase to Ground Fault Problems

In this paper a fault analysis is undertaken and the response of the two controllers, one normal PID Controller and the other is fuzzy tuned controller for the momentary fault condition is studied.TCR – Thyristor Controlled Reactor is the part of SVC used for reactance control and used in power system primarily for the purpose of voltage and reactive power control. Here Fuzzy logic based controller, tunes the TCR for the control of voltage and current levels during faulted condition. Fuzzy works with a logical rule based approach. At the same time one cannot deny the robustness and ability of PID control logic. This research work features a more structured comparison between a PID controller and fuzzy tuned controller in controlling the TCR for managing a symmetrical fault condition and its response for the fault are analysed. Mat lab- Simulink is used for the Simulation of PID and FUZZY controllers and its related graphs.

English

This project presents a design of a PID algorithm for driving agricultural robot motors. This approach has been proved with MATLAB simulation results. This kind of position control can be improved using adaptive algorithm. This project also described implementation of PID using PWM method. The robot prototype can move rapidly with the controller. Based on the study, the accuracy of the moving velocity of the robot can be further improved, such as the use of artificial neural networks and genetic algorithms for precise speed control. The results obtained from the PID simulation in MATLAB-Simulink shows that PID algorithm gives considerable

Fuzzy PID Control and Simulation of Wind Power Generation Yaw System

Aimed at the high inertia and non-linear characteristics of yaw system, a parameter self –tuning fuzzy PID controller is designed. The controller can adjust the PID parameters based on the wind direction variation, and make the turbines track the coming wind timely to obtain maximum power output. Simulation results show that the controller has good real-time performance and robustness compared with the traditional PID control. It can lower the fluctuation and overshoot, and improve the stability of the yaw system significantly.

Simulation and Research for Gas Boiler Based on the Vague Set PID

Gas hot water boiler is widely used as heating equipment in everyday life. Because gas hot water boiler has the characteristics of nonlinear, large inertia and disturbances, so it is particularly important to build a precise mathematical model. Then the difference equation model of the system is identified by the least square method according to the collected data in this paper. Writing M file in the MATLAB software to get the continuous transfer function, and setting up Vague Set PID simulation, fuzzy self-tuning PID simulation and conventional PID algorithm in SIMULINK. By comparing among the three kinds of adjusting method, We get that Vague Set PID not only in regulation time, overshoot and effect of dynamic performance is superior compared the other two controller models , but also enhance the robustness and adaptability of the system, has a good dynamic, static performance..