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.

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.

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.

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.

Research on Self-Tuning Fuzzy PID Control Strategy of Metallurgy Furnace Temperature

2012 ◽  
Vol 472-475 ◽  
pp. 3063-3066
Author(s):  
Rong Luo ◽  
Lun Wei Chen ◽  
Hong Bo Ren ◽  
Cheng Yu Liu
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Furnace Temperature ◽  
Advantages And Disadvantages ◽  
Self Tuning ◽  
Concrete Control

Aim at the effect of the control method in traditional metallurgy furnace temperature is not good, a self-tuning fuzzy PID control method combining fuzzy control with PID control was proposed in this paper based on the analysis of the advantages and disadvantages of the PID control and fuzzy control method, and a concrete control algorithm was put forward and simulation experiment was finished. The simulation results show that the effect of the controller is good, and the control of system is fast and smoothly according to it.

Study and Application of a Slide Mode Control on Pneumatic Force Servo System

2012 ◽  
Vol 466-467 ◽  
pp. 896-900
Author(s):  
Yan Li Yang ◽  
Wei Xiang Shi ◽  
Yan Cao ◽  
Lei Lei
Keyword(s):  
Pid Control ◽  
Sliding Mode ◽  
Servo System ◽  
Servo Control ◽  
Time Varying ◽  
Slide Mode Control ◽  
Control Approach ◽  
Mode Control ◽  
Servo Control System ◽  
Identification Approach

In this paper, a sliding mode control approach combined with the boundary saturation function approach is put forward and used in a pneumatic force servo system to achieve an exact force control. First, a comparatively accurate model of the system is obtained by using the system identification approach and an analysis is made on the time-varying nature of the model. Then, it is designed by use of the boundary saturation approach, thus overcoming the system instability caused by the non-linearity of the proportional pressure valve and the change of the temperature inside the air cylinder. Finally, the performance of the pneumatic force servo control system is simulated and a comparison is made with the PID control. Results show the feasibility and effectiveness of the approach.

Research of Fuzzy PID Control Based on VHDL

2013 ◽  
Vol 416-417 ◽  
pp. 885-889
Author(s):  
Xue Song Wang
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Design Method ◽  
Operating Experience ◽  
Fuzzy Pid Control ◽  
Self Tuning ◽  
Controlled Object

This paper describes the use of VHDL and fuzzy controller design process.Compared with conventional PID control, fuzzy control is not dependent on the accurate mathematical model of the controlled object. The implementation of integrated practical operating experience and the operation is simple, fast response, anti-interference ability, strong robustness parameters of controlled object. In response to the limitations of the traditional PID control algorithm in the control field, the fuzzy control theory with the traditional PID control algorithm by combining the parameters self-tuning function, the proposed fuzzy self-tuning PID controller design method and algorithm-depth study analysis.

scholarly journals Application of a New Membership Function in Nonlinear Fuzzy PID Controllers with Variable Gains

2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Xuda Zhang ◽  
Hong Bao ◽  
Jingli Du ◽  
Congsi Wang
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Membership Function ◽  
Pid Control ◽  
Control Algorithm ◽  
Pid Controllers ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Adjustable Range

This paper proposes a nonlinear fuzzy PID control algorithm, whose membership function (MF) is adjustable, is universal, and has a wide adjustable range. Appling this function to fuzzy control theory will increase system’s tunability. The continuity of this function is proved. This method was employed in the simulation and HIL experiments. Effectiveness and feasibility of this function are demonstrated in the results.

A Study of Simulation of Hydropreumatic Suspension Experiment Rig Based on AMESim and Matlab/Simulink

2014 ◽  
Vol 599-601 ◽  
pp. 207-211
Author(s):  
Zhi Qiang Chao ◽  
Chu Ming Ning ◽  
Hua Ying Li
Keyword(s):  
Pid Control ◽  
Hydraulic System ◽  
Control Algorithm ◽  
Scientific Basis ◽  
Servo Control ◽  
Fuzzy Pid Control ◽  
Servo Control System ◽  
Hydraulic Servo ◽  
Excellent Control ◽  
And Control

By analyzing the mechanical and control module of electro-hydraulic servo control system of hydropreumatic suspension experiment rig, and finding the corresponding mathematical model, and constructing a controller with fuzzy PID control algorithm, and then using AMESim with the accurate modeling of the hydraulic system and Simulink with powerful data analysis and processing functions for system to simulate to verify the experiment rig excellent control performance, which can effectively provide a scientific basis for the optimization of vehicle safety and comfort.

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