Study on Improved Fuzzy Immune PID Controller for Maglev Transportation System with Track Irregularity

2013 ◽  
Vol 423-426 ◽  
pp. 2825-2831 ◽  
Author(s):  
Rong Rong Song ◽  
Wei Hua Ma ◽  
Zi Li Chen
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Pid Controller ◽  
Nonlinear Function ◽  
Response Speed ◽  
Transportation System ◽  
Suspension System ◽  
Performance Impact ◽  
Maglev Transportation System ◽  
Track Irregularity

Track irregularity is one of the most important aspects of the suspension control performance impact in maglev transportation system (MTS). Due to the track irregularity phenomenon of suspension system, the Fuzzy PID(F-PID) control is unable to accurately track irregularity of track changes. Based on the qualitative analysis to MTS, through modifying conventional F-PID controller, the article establishes Fuzzy Immune PID(FI-PID) Controller based on the biological immune system theory. The control strategy designed nonlinear P controller, using the immune algorithm of on-line adjustment of P and the fuzzy control approximating the nonlinear function of the immune P control parameters and the fuzzy control designed the ID controller for adjusting the parameters of I and D for enhancing the robust performance of the suspension system and adapting to the change of track irregularity. Simulation results show that the FI-PID control is confirmed more effectively to realize tracking compared with F-PID, faster response speed, more simple structure, easier operation for the track interference and load disturbance of the suspension system. This provides a very good way to solve the interference problem of orbit of the maglev transportation system.

An Improved Expert Intelligent PID Control in Maglev Transportation System with Different Track Irregularities

2013 ◽  
Vol 409-410 ◽  
pp. 1141-1146 ◽  
Author(s):  
Rong Rong Song ◽  
Wei Hua Ma ◽  
Zi Li Chen
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Transportation System ◽  
Current Control ◽  
Local Optimum ◽  
Wave Signal ◽  
Quality Of Control ◽  
Maglev Transportation System ◽  
Track Irregularity ◽  
Expert Pid

Track irregularity is one of the most important aspects of the suspension control performance impact in Magnetic Transportation System (MTS). By using the traditional PID control, the problem was that it was difficult to confirm the PID parameters and have long settling time, even appear the chaotic phenomenon. However, using Expert PID(EPID) control method producesd over-fitting to initial assignments, local optimum induced easily and slow convergence rate problem. Based on the global optimization feature of PSO algorithm, it had been adopted to optimize the initial values of Expert PID control. An intelligent control algorithm for the maglev transportation system was put forward based on Expert PID optimized by Particle Swarm Optimization algorithm (EPID-PSO). The expert rule was that if the absolute value of the error trended to decrease, the PID current control keeped its maintenance; if not, then the PID current control applied strong functions. Under this rule, the dynamic error was reduced and the performance of track irregularity was improved. Simulation results by MATLAB proves that the control scheme has good robustness, shorter adjustment time, faster response time, achieving better quality of control under the three conditions of step signal, low frequence sine wave signal and high frequence square wave signal.

Induction Heating Furnace Temperature Control Based on the Fuzzy PID

2012 ◽  
Vol 217-219 ◽  
pp. 2463-2466 ◽  
Author(s):  
Xue Gang Hou ◽  
Cheng Long Wang
Keyword(s):  
Fuzzy Control ◽  
Temperature Control ◽  
Induction Heating ◽  
Pid Control ◽  
Pid Controller ◽  
Heating Furnace ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Furnace Temperature ◽  
Run Up

Induction heating furnace temperature control is a complex nonlinear hysteretic inertial process, it's difficult to obtain an accurate mathematical model because the temperature and disturb from outside is complicated. The normal PID control algorithm is hard to satisfy the standards of control. The fuzzy PID controller provided in this article is a combination between fuzzy control and the traditional PID control. The Fuzzy control theory is used to setting the ratio, the integral and the differential coefficient of the PID control. In the run-up stage, rapidity is guaranteed, overstrike and the steady-state error is up to the mustard. An example indicates that fuzzy PID control is superior to the normal PID controller.

Simulation Research on Fuzzy Adaptive PID Control of Variable Pump Control System

2012 ◽  
Vol 220-223 ◽  
pp. 880-883
Author(s):  
Hui Wang ◽  
Zhuo Xu
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Response Speed ◽  
System Response ◽  
Fuzzy Pid Control ◽  
Simulation Research ◽  
Output Pressure ◽  
System Output ◽  
Fuzzy Adaptive

According to the problem of large overshoot in the variable pump constant pressure output, the fuzzy controller and PID controller were combined. The dynamic response of system output pressure was obtained by combining simulation with a fuzzy adaptive PID controller designed in Matlab/Simulink and mechanical hydraulic model established in AMESim. The simulation results show that fuzzy PID control can achieve the goal of system response without overshoot, and response speed is improved further. The anti-interference ability is also stronger.

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.

Application of Fuzzy PID Controller on Mine Local Fan

2014 ◽  
Vol 668-669 ◽  
pp. 450-453
Author(s):  
Mei Zhang
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Pid Controller ◽  
Control Method ◽  
Fuzzy Pid ◽  
Gas Concentration ◽  
Fuzzy Pid Controller ◽  
The Core ◽  
Adaptive Capability ◽  
Frequency Inverter

Considering the feature of mine local ventilator, the paper proposed a kind of control method combined fuzzy control and PID control to local fan. According to the error and error change of gas concentration, the system automatically adjusted PID controller’s parameters, to having adaptive capability. The monitoring of gas concentration and frequency inverter speed control of fan can be made with the system using TMS320F2407 DSP as the core.

The Nonlinear PID Control for Beam Magnetic Suspension System of Gantry-Moving Type Numerically Controlled Machine Tool

2012 ◽  
Vol 546-547 ◽  
pp. 992-996
Author(s):  
Chun Fang Liu ◽  
Bin Zang ◽  
Tong Wang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Control Method ◽  
Magnetic Levitation ◽  
Response Speed ◽  
Fast Response ◽  
Magnetic Suspension ◽  
Control Effect ◽  
Maglev System ◽  
Nonlinear Tracking

The maglev system is a typical nonlinear system, it is difficult to get the best control effect only by nonlinear control method. At first, the maglev system is linearized in this paper, for the classic PID control magnetic levitation system which exists the contradiction between fast and overshoot .This paper adopts the nonlinear tracking-differentiator-based PID controller to control the maglev system. Finally simulation results show that the nonlinear PID controller has fast response speed, no overshoot, and strong robustness in controlling the maglev system.

A New Fuzzy PID Control System Based on Fuzzy PID Controller and Fuzzy Control Process

2020 ◽  
Vol 22 (7) ◽  
pp. 2163-2187
Author(s):  
Nguyen Dinh Phu ◽  
Nguyen Nhut Hung ◽  
Ali Ahmadian ◽  
Norazak Senu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Pid Controller ◽  
Control Process ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller

Application of Compound PID Control in the DC Servo Motor

2009 ◽  
Vol 16-19 ◽  
pp. 145-149 ◽  
Author(s):  
Xiao Yan Song ◽  
Qing Jie Yang ◽  
Xue Ming Zhang ◽  
Qi Gao Feng
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Pid Controller ◽  
Design Method ◽  
Servo System ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Controller ◽  
Performance Requirements

Although the traditional PID controller is widely used in many fields, the system parameters varying and external disturbances existing in the DC servo system will cause large overshoot or poor stability. To improve the performance of the PID controller, a compound servo control system combining the conventional PID control and the fuzzy control is presented to meet the demand of a vehicular antenna servo system in this paper. Incorporating the fuzzy control and the conventional PID control, this paper presents a design method of the fuzzy PID controller that is based on the fuzzy tuning rules and formed by integrating two above control ideas. Simulation results are presented to show the efficiency of the proposed controller. The practical control effect shows that the control system that adopts the fuzzy PID controller has better performance than that of the traditional PID control system, and meets the performance requirements of the servo system.

Research on Fuzzy Mathematics in PID Control

2014 ◽  
Vol 608-609 ◽  
pp. 875-879
Author(s):  
Hao Chen ◽  
Zhuo Qi Li
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Pid Controller ◽  
Control Technology ◽  
Industrial Control ◽  
Pid Algorithm ◽  
Development Cycle ◽  
Short Development Cycle ◽  
Depth Study ◽  
Self Tuning

Aiming at the limitation of traditional PID algorithm in the field of control, the fuzzy control theory and traditional PID control algorithm are combined to realize parameter self-tuning function, a fuzzy self-tuning PID controller, and this algorithm is analyzed in-depth study. It provides a new solution of modern industrial control problem that combining with fuzzy control technology and PID control technology. The FPGA has high integration, short development cycle, the characteristics of strong reusability; fuzzy PID controller has a good practical value and optimistic application prospect based on FPGA.

Modeling and Simulation Research of NC Machine Servo System Based on Fuzzy PID Control

2012 ◽  
Vol 214 ◽  
pp. 924-928
Author(s):  
Mao Yao Ao
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Servo System ◽  
Response Speed ◽  
Quick Response ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Simulation Research ◽  
Fuzzy Pid Controller ◽  
Nc Machine

Traditional PID control has not been able to meet the control requirements. This paper has designed one type of Fuzzy PID controller to use in NC Machine Servo System. Simulate the response of Fuzzy PID controller and traditional PID controller by Simulink in MATLAB. The simulation results indicated that the Fuzzy PID controller had quick response speed, strong robustness, high precision and non-overshoot etc. It improved the whole control performance of NC Machine Servo System.

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