Shipboard Radar Servo System PID Parameters Turning Based on Simulink

2014 ◽  
Vol 536-537 ◽  
pp. 1121-1124
Author(s):  
Qiu Qi Ding ◽  
Min Tao ◽  
Xin Rong Wang
Keyword(s):  
Pid Control ◽  
Dynamic Performance ◽  
Servo System ◽  
Mathematic Model ◽  
Parameter Tuning ◽  
Fuzzy Pid Control ◽  
Simulation Experiments ◽  
Loop Bandwidth ◽  
Self Tuning ◽  
On Line

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.

The Design of Servo Loop Bandwidth Based on Fuzzy Control Theory

2013 ◽  
Vol 765-767 ◽  
pp. 1924-1927
Author(s):  
Min Tao ◽  
Xin Rong Wang
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Pid Control ◽  
Servo System ◽  
Servo Control ◽  
Fuzzy Pid Control ◽  
Servo Control System ◽  
Loop Bandwidth ◽  
Self Tuning ◽  
Servo Loop

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.

Research on Fuzzy Pid Control System of Temperatuer for Tertiary Air

2013 ◽  
Vol 341-342 ◽  
pp. 892-895
Author(s):  
Jun Chao Zhang ◽  
Shao Hong Jing
Keyword(s):  
Control System ◽  
Control Theory ◽  
Pid Control ◽  
Pid Controller ◽  
Dynamic Performance ◽  
Effective Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Self Tuning

The introduction of the AQC boiler has complex effects on the temperature of Tertiary air, traditional PID is difficult to achieve the effective control. Combined the method of the conventional PID with the fuzzy control theory, a fuzzy self-tuning PID controller is designed. Compared with traditional PID, results of simulation show that the fuzzy PID controller improves not only the adaptability and robustness of the system, but also the system's static and dynamic performance.

Variable Structure Fuzzy PID Plane Flat End Steering Gear Servo System

2013 ◽  
Vol 310 ◽  
pp. 532-535
Author(s):  
Le Peng Song ◽  
Hua Bin Wang
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Fuzzy Theory ◽  
Servo System ◽  
Good Control ◽  
Variable Structure ◽  
Mathematic Model ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control

A mathematic model, focusing on the control of tail plane actuator servo system, is established based on control theories. Considering its nonlinearity and intermittence, a fuzzy-PID control method is brought forward based on fuzzy theory. The design of a fuzzy-PID controller has been accomplished. and its comparision with conventional PID control and P control has been made. The final system simulation is conducted with Simulink under the effect of unit step signal.The result shows that the fuzzy-PID control has a better performance in speed, response and anti-jamming. It has a satisfactory dynamic characteristic while not losing the advantages of the fuzzy control and the PID control. Therefore, it enhances the integral property of the tail plane actuator servo system and obtains a good control effect. In a word, the new system can meet the requirement of the system better.

Robust Control Method Based on Machine Learning for Boiler Combustion System

2014 ◽  
Vol 685 ◽  
pp. 368-372 ◽  
Author(s):  
Hao Zhang ◽  
Ya Jie Zhang ◽  
Yan Gu Zhang
Keyword(s):  
Robust Control ◽  
Intelligent Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Support Vector ◽  
Control Performance ◽  
Fuzzy Pid Control ◽  
On Line ◽  
Control Output

In this study, we presented a boiler combustion robust control method under load changes based on the least squares support vector machine, PID parameters are on-line adjusted and identified by LSSVM, optimum control output is obtained. The simulation result shows control performance of the intelligent control algorithm is superior to traditional control algorithm and fuzzy PID control algorithm, the study provides a new control method for strong non-linear boiler combustion control system.

The Modeling and Control of the Hydraulic Servo System by Using On-Off Valve

2000 ◽  
Author(s):  
Xuanyin Wang
Keyword(s):  
Servo System ◽  
Mathematic Model ◽  
Hydraulic Cylinder ◽  
Servo Control ◽  
Linear Quadratic ◽  
Modeling And Control ◽  
Hydraulic Servo ◽  
Self Tuning ◽  
Hydraulic Servo System ◽  
And Control

Abstract This paper researches on the hydraulic servo system by using ordinary on-off valves. The mathematic model of an asymmetric hydraulic cylinder servo control system is built, and its characteristic is analysed here. To reduce the static and dynamic characteristic differences between forward and reverse motion of asymmetric cylinder, and improve system’s performance, a self-tuning linear quadratic gaussian optimum controller (SLQG) is designed successful. In the end, an asymmetric hydraulic cylinder servo system of paint robot is researched. The result shows that the above method is effective.

Application of Active Mount Engine Vibration Isolation to Fuzzy Control Systems

2013 ◽  
Vol 341-342 ◽  
pp. 1023-1027
Author(s):  
Hui Guo ◽  
Guo Chun Sun ◽  
Min Fan
Keyword(s):  
Control Systems ◽  
Pid Control ◽  
Vibration Isolation ◽  
The Body ◽  
Fuzzy Pid Control ◽  
Power Train ◽  
Engine Vibration ◽  
Control Scheme ◽  
Self Tuning ◽  
Piezoelectric Stack Actuator

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.

Application of Fuzzy PID Control in Sluice Control

2012 ◽  
Vol 241-244 ◽  
pp. 1248-1254
Author(s):  
Feng Chen Huang ◽  
Hui Feng ◽  
Zhen Li Ma ◽  
Xin Hui Yin ◽  
Xue Wen Wu
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Information Integration ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Proportional Integral Derivative ◽  
Fuzzy Pid Control ◽  
Tuning Method ◽  
Fuzzy Pid Controller ◽  
Self Tuning

Fuzzy control, based on traditional Proportional-Integral-Derivative (PID) control, is used to improve the management of a hydro-junction’s sluice scheduling. In this study, we combined the PID and Fuzzy control theories and determined the PID parameters of the fuzzy self-tuning method of a hydro-junction’s sluice. A fuzzy self-tuning PID controller and its algorithm were designed. In hydro-junction sluice control, the Fuzzy PID controller can modify PID parameters in real-time, resulting in a more dynamic response. The application of the fuzzy self-tuning PID controller in the CiHuai River project information integration system yielded very good results.

Fuzzy PID Control and Simulation of Wind Power Generation Yaw System

2014 ◽  
Vol 953-954 ◽  
pp. 353-356 ◽  
Author(s):  
Fan Yang ◽  
Tong Yang ◽  
Xiao Hong Yang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Time Performance ◽  
System A ◽  
Self Tuning ◽  
Simulation Results ◽  
The Stability

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.

Smith Prediction Based on Genetic Algorithm Self-Tuning PID Control

2014 ◽  
Vol 602-605 ◽  
pp. 1186-1189
Author(s):  
Dong Sheng Wu ◽  
Qing Yang
Keyword(s):  
Genetic Algorithm ◽  
Time Delay ◽  
Pid Control ◽  
Pid Controller ◽  
Control Method ◽  
Delay System ◽  
Time Delay System ◽  
Self Tuning ◽  
On Line ◽  
Turning Control

Aiming at the phenomena of big time delay are normally existing in industry control, this paper proposes an intelligent GA-Smith-PID control method based on genetic algorithm and Smith predictive compensation algorithm and traditional PID controller. This method uses the ability of on line-study, a self-turning control strategy of GA, and better control of Smith predictive compensation to deal with the big time delay. This method overcomes the limitation of traditional PID control effectively, and improves the system’s robustness and self-adaptability, and gets satisfactory control to deal with the big time delay system.

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