Research on Automatic Correction Method for Cigarette Making Machine Transmission Device Based on Fuzzy-PID Dual Mode Control

2014 ◽  
Vol 898 ◽  
pp. 525-529
Author(s):  
Yin Ping Ma ◽  
Yao Hua Wu
Keyword(s):  
Control System ◽  
Dynamic Performance ◽  
Control Process ◽  
Threshold Value ◽  
Correction Method ◽  
Automatic Correction ◽  
Fuzzy Pid ◽  
Dual Mode ◽  
Mode Control ◽  
Stable Performance

In the long-term process of working, cigarette making machine usually has transmission device running deviation problem. In response to this problem, this paper presents an automatic correction method of cigarette making machine transmission device based on cigarette making machine structure and analysis of running deviation. It divides the whole control process into different stages. when the error signal e is beyond the threshold value, use Fuzzy control; and when it is within the scope of threshold value, use PID control. Apply Simulink and Fuzzy toolbox of Matlab software for simulation experiment, and the experiment results demonstrated that the using of Fuzzy-PID dual mode control system can improve dynamic performance and stable performance of the control system, and can effectively and automatically correct cigarette making machine transmission device.

The Design of Dual-Mode Traffic Lights Control System Based on FPGA

2013 ◽  
Vol 341-342 ◽  
pp. 732-736
Author(s):  
Yan Yan Yu ◽  
Ya Qun Huang ◽  
Lei Wang ◽  
Fu Shou Tao
Keyword(s):  
Control System ◽  
Traffic Management ◽  
High Reliability ◽  
Single Chip ◽  
Dual Mode ◽  
Traffic Scheduling ◽  
Development Environment ◽  
Traffic Lights ◽  
Road Intersections ◽  
Stable Performance

The traffic signal lights control system automatically controls the statues of the intersection traffic lights and dispatch the traffic vehicles normally that traffic scheduling is an important system and it is the most basic and most important tools in city traffic management. Traffic lights control system made by single chip microcomputer technology has a single working model, low reliability, slow speed, and it can't modify or upgrade online, which is difficult to adapt to changes at different times of the traffic flow. This design of the dual mode of traffic lights control system intelligently controls each intersection traffic lights on and off time in the different period, which will improve the scheduling efficiency of road intersections. The design is based on FPGA with a digital display of traffic lights control system, compile the program design and simulation in Quartus II development environment, and ultimately download to EP2C35F672C6 chip of Altera Company. By the DE2 experiments test platform, the system has stable performance, simple operation, easy to maintenance, high reliability, strong expansibility and good refactoring.

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.

Design of Coarse-Fine Combined Synchronization Control System for Lithography Based on Cross-Coupled Sliding Mode Control

2011 ◽  
Vol 383-390 ◽  
pp. 2126-2131
Author(s):  
Zhi Pen Wu ◽  
Xing Lin Chen
Keyword(s):  
Control System ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Voice Coil Motor ◽  
Synchronization Error ◽  
Control Error ◽  
High Position ◽  
Mode Control ◽  
Order Of Magnitude

In order to achieve high position precision and synchronization between the wafer stage and the reticle stage, a cross-coupled sliding mode control scheme for a coarse-fine combined synchronization servo system of lithography is proposed. To accomplish high bandwidth and high tracking precision, a conventional linear motor is combined with a voice coil motor as a coarse-fine dual-stage control system. A cross-coupled structure is presented to decrease the synchronization error during scanning operation. Sliding mode control law is designed based on the control error and the synchronization error. Simulation results show that the synchronization error and the control error have the same order of magnitude, and the dynamic performance of the control system satisfies the design requirement.

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

scholarly journals Research on Optimization of Fuzzy Network Control System Based on New Smith Predictive Time Delay Compensation

2021 ◽  
Vol 2132 (1) ◽  
pp. 012019
Author(s):  
Cong Lu ◽  
Xuehui Xian ◽  
Changqing Li
Keyword(s):  
Genetic Algorithm ◽  
Control System ◽  
Control Method ◽  
Dynamic Performance ◽  
Network Control ◽  
Smith Predictor ◽  
Fuzzy Pid ◽  
Network Control System ◽  
Fuzzy Pid Control ◽  
Actual Model

Abstract Aiming at the problem of network delay when the network control system transmits data, this paper adopts a new type of fuzzy control method of Smith predictor to compensate for the delay. In actual application scenarios, it is difficult to accurately match the Smith prediction model with the actual model. At the same time, the quantization factor and scale factor in the fuzzy PID controller are too dependent on experience, which makes the system’s adaptability to actual working conditions very poor. In this paper, genetic algorithm is used to optimizes fuzzy PID. According to the simulation results, when the Smith predictive model does not match the actual model, the steady-state performance and dynamic performance of the system under the fuzzy PID control optimized by the genetic algorithm are improved.

Application of Adaptive Fuzzy-PID Algorithm in Control of Pipeline Pressure

2013 ◽  
Vol 336-338 ◽  
pp. 637-640
Author(s):  
Dong Hui Li ◽  
Yi Hui Xu
Keyword(s):  
Control System ◽  
Dynamic Performance ◽  
Mass Conservation ◽  
Pressure Control ◽  
Fuzzy Pid ◽  
Adaptive Fuzzy ◽  
Pid Algorithm ◽  
Pressure Control System ◽  
Feed Forward Controller ◽  
Pipeline Pressure

Mathematical model of pipeline pressure is built according to mass conservation. Aiming at solving the poor adaptability of routine PID algorithm and the disturbance of inlet steam, adaptive fuzzy-PID algorithm and Feed-forward controller are proposed in the control system. System simulation is conducted by MATLAB, and parameter self-tuning rules determined by different errors are studied. Simulation results show that the pressure control system has better static and dynamic performance such as quicker response, smaller overshoot and better capacity of resisting disturbance.

Simulation Research on Fuzzy PID Control for Transmission Shaft Rolling Control System

2014 ◽  
Vol 543-547 ◽  
pp. 1355-1359
Author(s):  
Jin Ying Meng ◽  
Xi Bin Wang ◽  
Zhi Qiang Liang ◽  
Jia Jie Pei ◽  
Tian Feng Zhou
Keyword(s):  
Control System ◽  
Pid Control ◽  
Dynamic Performance ◽  
Response Speed ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Simulation Research ◽  
Nonlinear Properties ◽  
Fuzzy Pid Controller ◽  
Transmission Shaft

The transmission shaft rolling control system is characterized by time-varying and nonlinear properties. To improve the system's dynamic performance and of anti-interference ability, fuzzy PID control is proposed to apply to transmission shaft rolling control system. The mathematical model of the control system is built and a fuzzy PID controller is designed based on the fuzzy control theory. By using MATLAB/Simulink tool for comparison, the simulation results show that the fuzzy PID control compared with the conventional PID control, has improved the system's dynamic response speed by 0.04s. By amplitude 1 interference effect, the system's maximum overshoot is reduced by 3.4%.

scholarly journals Hybrid Sliding Mode Control Technology of Electric Vehicle Based on Wireless Sensor

2017 ◽  
Vol 13 (05) ◽  
pp. 97
Author(s):  
Wenfang Zheng ◽  
Jincui Liu
Keyword(s):  
Control System ◽  
Sliding Mode Control ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Sliding Mode ◽  
High Order ◽  
Convergence Time ◽  
Control Technology ◽  
Dual Mode ◽  
Mode Control

The purpose of this study is to solve defects of the existing control strategy long convergence time, sliding mode chattering and so on. For Sensorless Brushless DC motor control strategy, a modified extended Kalman state correction estimation scheme is proposed, and dual mode high-order non-singular terminal hybrid sliding mode control technology is put forward. TMS320F2812DSP core controller and CM200DY-12H inverter module and construction electric car core control module are established, and the program algorithm of the extended Kalman algorithm and hybrid sliding mode control is constructed. The results showed that the control system designed can suppress the system chattering, and the system has strong robustness, which has low requirement on the system model and can eliminate external disturbance input, showing outstanding performance in the convergence time and anti disturbance performance. In summary, a dual mode high-order non-singular terminal hybrid sliding mode control technology put forward is quite suitable for electric vehicle control system.

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