Application Of Fuzzy PID Control Research Articles

Simulation research on trajectory tracking control system of manipulator based on fuzzy PID control

In view of the influence of external environment interference, parameter changing and random noise in the process of manipulator trajectory tracking, as well as the problems of fuzzy PID control, such as fuzzy rules are not easy to set, quantisation interval and parameters are affected by subjective consciousness, which leads to the problem of insufficient performance of manipulator system. In this paper, firstly, in the MATLAB simulation environment, based on the D-H parameter model, the linkage model of the four degree of freedom manipulator is established, and the homogeneous transformation matrix of the manipulator is calculated. Then, through the application of fuzzy PID control in the Simulink toolbox, the optimal parameters of the controller are found by using the proportion factor self-adjusting strategy, and the corresponding trajectory tracking and forward inverse kinematics simulation are studied. The trajectory tracking curve of the manipulator is obtained. The research method and experimental results in the paper are of great significance for the simulation of articulated manipulator.

The Design and Implementation of an Intelligent Infusion System based on Fuzzy Control

In present medical practice, infusion is an important and widely adopted treatment method. During the infusion process, the dripping speed of infusion is a significant parameter. In this paper, an intelligent infusion system is introduced, which is provided with dripping speed remote setting and abnormal situation alarm function. Through the application of fuzzy-PID control with auto-adjusted factors, the control of dripping speed is achieved. ZigBee and Wi-Fi construct a wireless network, therefore medical staff can set the dripping speed by making use of mobile terminals and meanwhile, the dripping speed is displayed on mobile terminals for nurses' reference. The test results indicate the following characteristics of the intelligent infusion system, such as fast response and high accuracy. Besides, the results also prove that the intelligent infusion system achieves the objective of reducing medical staff’s workload and improving patients’ safety.

Application of Fuzzy PID Control in the Level Process Control

Application of Fuzzy PID Control in the Level Process Control

Application of Fuzzy PID Control Based on GA in Control Valve

In order to improve the dynamic characteristic of regulating valve system based on traditional fuzzy PID, a control strategy was presented and this method combines fuzzy PID and improved GA (genetic algorithm) to optimize fuzzy rules. Finally a simulation was carried on in MATLAB. The results show that: Compared with the traditional PID, the fuzzy PID enables the system to achieve better dynamic characteristics.

Research on Application of Fuzzy PID Control Based on PLC in Hot Press Control System

This research constructed a hot press control system according to the hot-press technical process of wood-based panel, and applied the fuzzy control and traditional PID control to this system. Experiment and simulation results showed that the control effect of the new method is optimal.

Application of Fuzzy-PID Control in the Air Supply System with Constant Pressure for Mine Compressor

In order to solve the air supply pressure instability problem in mine compressor, a fuzzy-PID controller is designed to be combined with conventional proportional-integral-derivative (PID) control and fuzzy control technology based on the programmable logic controller (PLC), where the compressor air supply system can achieve optimal control based on the system requirements and the actual usage, realizing air supply with constant pressure for compressor.

Research on Application of Fuzzy PID Control in Linear Servo System

Due to the nonlinearity, time-varying and load disturbance in linear servo system, the conventional PID control is hard to get an ideal control effect, this paper deduces the mathematical model of the permanent magnet linear synchronous motor (PMLSM) direct drive system, designs a fuzzy PID controller by combining fuzzy control with conventional PID control, adjust the parameters of PID controller in real time by making use of fuzzy control's ability of adjusting online. Simulation and experimental results show that the fuzzy PID controller is superior to the conventional PID controller in responsiveness, steady performance and dynamic tracking, which can shorten the positioning time, improve the system positioning accuracy.

Application of Fuzzy PID Control in Yarn Tension Control System

When winding yarn, the yarn tension control of a winding machine affects the quality of yarn subsequent processing. For randomicity and instability of the yarn tension in a winding machine, the paper designed a yarn tension control system based on analyzing conventional PID controller, using the fuzzy PID control algorithm to control the yarn tension system and realizing on-line self-adjustment of PID control parameters. The simulation experiment showed that system tension had better response using fuzzy PID control and eliminated nonlinearity and uncertainty of the system.

The Application of Fuzzy PID Control in Pitch Wind Turbine

The theory of fuzzy control and PID control were applied to the control of generator speed and blade pitch angle. During the early period the fuzzy controller was used to improve system responsiveness and reduce the overshoot. When entering to steady-state regulation period, the PID controller was used, by regulating the ratio, differential, integral parameters of the system steady-state error was kept the minimum. Based on variable pitch wind turbine mathematical model we do a MATLAB simulation, results show that, the method can make the generator work at maximum power operation before Grid-connection, and with rated power after the run.

Application of Fuzzy PID Control to Cluster Control of Viaduct Road Vibrations

Distributed parameter systems have infinite-degrees of freedom. Algorithms for vibration control of these systems have provided satisfactory results for low-frequency ranges but these approaches may cause spillover and undesired conditions at high-frequency ranges resulting in unsatisfactory control performance. In this study, the application of cluster control on viaduct roads composed of flat parts is introduced. Cluster control consists of three stages: sensing, actuation and control of desired mode groups using a control method. Sensing and actuation of mode groups are introduced separately. The grouping and sensing of mode groups are realized by using Finite Element Analysis. Various control architectures, of which the most popular ones are classical PID controllers, have been suggested to apply cluster control for vibrating structures. In this study, a Mamdani-type fuzzy PID controller with two input and two output is suggested and the system responses, whose dynamics are gathered from a scaled size of a viaduct road, are collected for proposed fuzzy-PID and sliding mode controllers. Analysis of the performance of cluster control along with the individual effects of the controller parameters on system frequency response is discussed and presented.