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.

Research on Fuzzy PID Control for Power-Train MR Mount System

2013 ◽  
Vol 397-400 ◽  
pp. 1304-1308
Author(s):  
Dao Yuan Pan ◽  
Xiang Gao ◽  
Chang Gao Xia ◽  
Hao Cai
Keyword(s):  
Pid Control ◽  
Vibration Isolation ◽  
Control Method ◽  
Simulation Analysis ◽  
The Body ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Isolation System ◽  
Power Train ◽  
Fuzzy Pid Controller

In view of automotive power-train magnetorheological (MR) mount system with nonlinearity and uncertainty, which is difficult to control, the fuzzy PID control method was proposed and studied. Based on the analysis of two-degree of freedom vibration isolation system model, the fuzzy PID controller for the control model of MR semi-active mount was designed and its simulation analysis was carried out. The simulation results indicate that MR mount combined with the fuzzy PID control method can effectively reduce the body acceleration and the force transferred to the frame. This research provides a reference for further research and development of MR mount.

Active Control for Power-Train Vibration of Automotive Using Active Mounts

2013 ◽  
Vol 330 ◽  
pp. 598-601
Author(s):  
Guo Chun Sun ◽  
Li Meng He
Keyword(s):  
Optimal Control ◽  
Vibration Isolation ◽  
Linear Quadratic Regulator ◽  
Active System ◽  
Linear Quadratic ◽  
Isolation System ◽  
Vibration Isolation System ◽  
Engine Vibration ◽  
Active Vibration ◽  
Piezoelectric Stack Actuator

In this work, a new active mount featuring piezostack actuators and a rubber element is proposed and applied to a vibration control system. After describing the configuration and operating principle of the proposed mount, an appropriate rubber element and appropriate piezostacks are designed. Through the analysis of the property of the rubber and piezoelectric stack actuator, a mechanical model of the active vibration isolation system with the active mounts is established. An optimal control algorithm is presented for engine vibration isolation system. the controller is designed according to linear quadratic regulator (LQR) theory. Simulation shows the active system has a better consequence in reducing the vibration of the chassis significantly with respect to the ACM and the optimal control than that in the passive system.

Study of Tobacco-Redrying System Based on Fuzzy PID Control

2012 ◽  
Vol 220-223 ◽  
pp. 1240-1243
Author(s):  
Yu Yu Zhu ◽  
Ya Jun Zhou
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Fuzzy Inference ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Scheme ◽  
Simulation Results ◽  
Performance Target

The process of tobacco-redrying has the characteristics of lagging, uncertainty and being nonlinear, so it is unable to satisfy every performance target only by using the traditional PID controlling method. In response to this reality, this paper, by using the fuzzy inference ability of fuzzy control, proposes a fuzzy PID based control scheme to achieve the online adjustment of the PID parameters in tobacco-redrying process and to make them in the required range. Simulation results show that the controller can effectively control the process of tobacco-redrying.

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.

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.

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.

scholarly journals Neuro-PID Control for Electric Vehicle

2011 ◽  
Vol 15 (7) ◽  
pp. 846-853 ◽  
Author(s):  
Shigeru Omatu ◽  
◽  
Michifumi Yoshioka ◽  
Toru Fujinaka ◽  
◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Pid Control ◽  
Control Method ◽  
Torque Control ◽  
Learning Ability ◽  
Control Problems ◽  
Process Industries ◽  
The Neural Network ◽  
Control Scheme ◽  
Self Tuning

In this paper we consider the neuro-control method and its application to control problems of an electric vehicle. The neuro-control methods adopted here is based on Proportional-plus-Integral-plus-Derivative (PID) control, which has been adopted to solve process control or intelligent control problems. In Japan about eighty four percent of the process industries have used the PID control. After deriving the self-tuning PID control scheme (neuro-PID) using the learning ability of the neural network, we will show the control results by using the speed and torque control of an electric vehicle.

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