Parameter Self-tuning Fuzzy PID Control Research Articles

Имитационное экспериментальное исследование на испытательном стенде с шестью степенями свободы на основе стратегии нечеткого ПИД управления

The quality of the control system depends on various factors such as the characteristics of the controlled object, the control scheme, the form and size of interference, etc. In a control system where the characteristics of the object and the hardware and software have been basically determined, the control quality of the system depends on the control algorithm. The control algorithm will make the motion process control have better speed, accuracy and stability. The study of control law is an important part of the control system design of the entire six-degree-of-freedom test bench. The characteristics of the controlled object and the existence of interference in this control system require the designed control law to have the characteristics of strong robustness, certain intelligence, and easy implementation, so as to achieve stable and precise control of the system and achieve the control indicators required by the system. The control strategy of this six-degree-of-freedom test bench adopts Fuzzy PID control, which combines fuzzy theory with the mature traditional PID control theory and uses fuzzy theory to tune the three control parameters of PID to form a parameter self-tuning Fuzzy PID control Device. The Fuzzy PID control strategy is simulated by MATLAB simulation software.

The Design and Simulation of Fuzzy PID Parameter Self-tuning Controller

Based on parameter self-tuning fuzzy PID controller, a fuzzy inference method is utilized to realize automatic regulating PID parameter, and the application of the controller in a system is studied with MATLAB in this paper. The combination of PID controller system and fuzzy controller system combines the convenience of PID control together with the flexibility of fuzzy control, and takes advantage of the traditional control, which has a great practical significance. The results of simulation show that fuzzy PID parameter self-tuning controller has a better control effect than the traditional one, and can improve the static and dynamic properties of the system well. DOI: http://dx.doi.org/10.11591/telkomnika.v14i2.7674

Fuzzy PID Parameters Self-Tuning in the Application of the Furnace Temperature Control System

According to the set temperature, the parameter self-tuning fuzzy PID control algorithm is used furnace temperature automatic control and fuzzy PID control process to make use of the MATLAB simulation. Simulation results show that compared with conventional PID control, the parameter self-tuning fuzzy PID control algorithm improves the system response, shorten the adjusting time, enhances the disruptive, demonstrate the superiority of the fuzzy PID.

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.

Networked Control Systems Based on New Smith Predictor and Fuzzy-PID Controller

To the question of networked control system with random time-delay in both forward and feedback channels, a new class of Smith predictor combined to Fuzzy PID control is presented. It sets up a new Smith forecast model and designs the parameter self-tuning fuzzy PID controller. The results of system simulation using MATLAB show that the network control system of the proposed scheme has better dynamic and stability, and in the case of model miss-matching has high robustness.

The Pneumatic Position Control System Based on Fuzzy-PID

Put forward a kind of control system to achieve precise positioning of the pneumatic cylinder, coring to PC upper monitor and using Visual C++ as the development platform. Establish an experimental platform of pneumatic cylinder positioning control system: selecting the parameter self-tuning Fuzzy-PID control algorithm, using the proportional directional control valve, standard cylinder, displacement sensordata acquisition card and other components. the use of MATLAB to simulate and optimize, carry out the actual experiment on the basis of simulation. The experimental results proved the effectiveness and correctness of Fuzzy PID in pneumatic control system.

The Sinter Mixture Moisture Control System Based on Fuzzy PID Controller

Because the sinter mixture moisture control system has time-varying, nonlinear and time-delay characteristics, it is difficult to establish its precise mathematical model. According to the defects that the conventional PID control in the fixed parameter is difficult to guarantee the system performance, this paper proposed the parameter self-tuning fuzzy PID controller which is used to the system. Based on the sintering furnace structural features and control performance requirements, the PID parameters are set by fuzzy logic reasoning. The actual operation results proved that the parameter self-tuning fuzzy PID controller improved more obviously the system performance than the original PID controller, and stabilized the sinter mixture moisture, and improved the sintering production condition and promoted the production capacity.

The Design of Servo Loop Bandwidth Based on Fuzzy Control Theory

Servo loop bandwidth is an important parameter of the ship-borne servo control system to track targets fast, accurately, stably. This paper analyzes the structure and principle of servo system and the PID controller algorithm. Based on the fuzzy control theory, applies the parameter self-tuning fuzzy PID control technology to the servo system position loop successfully, and gets a satisfactory control performance.

Application of Active Mount Engine Vibration Isolation to Fuzzy Control Systems

An automobile power-train active mount system with a piezoelectric stack actuator is introduced. The influence caused by power-train to the body of the car is analyzed by means of parameter self-tuning fuzzy PID control, on which the simulating results are based. It turns out that this control scheme can restrain the influence better caused by power-train to the body of the car.

Modeling and Simulation of Parameter Self-Tuning Fuzzy PID Controller for DC Motor Speed Control System

The establishment of DC motor system model is an important part of its control system analysis, this paper introduces the traditional method of modeling and the application of parameter self-tuning fuzzy logic PID control in the simulation and experimental research of variable speed control system for DC electric motor. In MATLAB / SMULINK simulation environment, high robustness and precision are obtained. The simulation results show that fuzzy logic PID control strategy has better performances than traditional controllers.