scholarly journals Research on Control Algorithm of Electric Linear Loading System

2018 ◽  
Vol 220 ◽  
pp. 08007
Author(s):  
Jianjie Lei ◽  
Yuanxun Fan ◽  
Weidong Pan ◽  
Dejia Tang ◽  
Jian Tao ◽  
...  
Keyword(s):  
Control Algorithm ◽  
Fuzzy Controller ◽  
Dynamic Performance ◽  
Reference Value ◽  
Response Speed ◽  
Ball Screw ◽  
Current Loop ◽  
System Combination ◽  
Loading System ◽  
Linear Loading

This paper mainly focused on the problems of low loading accuracy in electric linear loading system, Firstly, the mathematical model is done on loading motor, loading motor driver and ball screw in the system. Then, the current loop proportional control is introduced, which improves the response speed of the load motor; In order to improve the loading accuracy and restrain excess force, a parallel algorithm based on fuzzy PID and repetitive control is designed in the force loop. The fuzzy controller improves the dynamic performance and anti-interference ability of the system. The repetitive controller periodically adjusts the deviation, which reduces the steady-state error of the system. Combination of the two controller results in good dynamic and static characteristics. The simulation results show that the proposed control algorithm is feasible, which has a certain engineering reference value.

Fuzzy Adaptive Control of Airborne Electro-Optical Tracking Systems Based on Variable Universe

2011 ◽  
Vol 383-390 ◽  
pp. 5972-5977
Author(s):  
Song Gao ◽  
Xiao Xia Xu ◽  
Qin Kun Xiao ◽  
Quan Pan
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Dynamic Performance ◽  
Optical Tracking ◽  
Control Performance ◽  
Tracking Systems ◽  
Variable Universe ◽  
Fuzzy Control Algorithm ◽  
Fuzzy Adaptive

In order to improve the control performance of airborne EO tracking systems, we develop a proposed variable universe control algorithm based on fuzzy reasoning. The algorithm combines a new fuzzy control algorithm with classic PID control algorithm and greatly improves the dynamic performance of the airborne EO tracking systems. The simulation results indicate that the adaptive fuzzy controller can ensure the precision of the system with better adaptability and robustness.

Design of Optimum Controller of APT Fine Tracking Control System

2013 ◽  
Vol 712-715 ◽  
pp. 2738-2741 ◽  
Author(s):  
Ming Qiu Li ◽  
Shu Hua Jiang
Keyword(s):  
Pid Control ◽  
Tracking Control ◽  
Control Algorithm ◽  
Tracking System ◽  
Dynamic Performance ◽  
Tracking Error ◽  
Stable State ◽  
Response Speed ◽  
Optimum Control ◽  
Performance Requirements

APT (Acquisition, Pointing, and Tracking) system of space laser communication adopts compound axis structure; it consists of coarse tracking and fine tracking system. Its response speed and tracking precision mainly rests with the fine tracking system. Traditional PID control algorithm often is used in APT fine tracking system. In order to improve the dynamic performance of the system and decrease the tracking error, optimum control technology was adopted in this paper. On the basis of considering the system dynamic performance requirements and tracking precision requirement, optimum controller was designed. The simulation result shows that the bandwidth of APT fine tracking system is up to 1310 Hz, and the stable state error is less than 0.002. Compared with PID control, optimum control can improve the tracking performance of system.

A Variable Universe Self-Tuning Fuzzy-PI Speed Controller for Induction Motor with DTC-SVM

2015 ◽  
Vol 741 ◽  
pp. 734-738
Author(s):  
Hong Xia Yu ◽  
Zhi Cheng Chen
Keyword(s):  
Induction Motor ◽  
Fuzzy Controller ◽  
Reference Value ◽  
Response Speed ◽  
Fast Response ◽  
Torque Ripple ◽  
Variable Universe ◽  
Speed Controller ◽  
Self Tuning ◽  
Lower Torque

In the paper, To control the speed of induction motor drive with DTC-SVM, A variable universe self-tuning fuzzy-PI(VUFPI) controller was designed based on the concept of variable universe to generate the torque reference value, Two inputs of the fuzzy controller are speed error and error change rate, the output of the fuzzy controller are adjustment parameters (,) of PI controller parameters (Kp, Ki), the input and output variable universe of fuzzy controller were regulated by scale factor which is calculated according to error grade, The simulation results show that the proposed method has fast response speed and lower torque ripple.

Research on Double-Closed-Loop Control for the Frequency Converters in Parallel Operation

2013 ◽  
Vol 722 ◽  
pp. 503-506
Author(s):  
Hao Long ◽  
Xue Jun Li ◽  
Jing Long Huang ◽  
Kuan Fang He
Keyword(s):  
Closed Loop ◽  
Frequency Converter ◽  
Dynamic Performance ◽  
Response Speed ◽  
Current Loop ◽  
Parallel Operation ◽  
Loop Control ◽  
Frequency Converters ◽  
The Stability ◽  
Classical Control

In order to achieve the two drive synchronous operation , it's necessary to add an inner current loop on the basis of the outer voltage regulator which improve the system s dynamic response speed in the premise of ensure the stability of the system. The frequency converter parallel technology controlled by voltage and current double closed loop is researched. Design the controllers parameters of the current inner ring and voltage outer ring and these parameters are demonstrated according to the classical control theory. At last we conduct the simulation whose results show that the parallel converter system which controlled by the voltage and current double closed loop has good static and dynamic performance.

scholarly journals PWM Rectifier Fast Response Method for Electric Servo Loading System

2019 ◽  
Vol 37 (4) ◽  
pp. 794-801
Author(s):  
Qixun Zhou ◽  
Guichao Xu ◽  
Yufeng Zhang ◽  
Yong Zhou
Keyword(s):  
Flight Control ◽  
Output Voltage ◽  
Control Method ◽  
Feedforward Control ◽  
Dynamic Performance ◽  
Response Speed ◽  
Fast Response ◽  
Pwm Rectifier ◽  
Load Power ◽  
Loading System

The electric servo loading system can more fully test the stability and dynamic performance of the motor body and controller, and is widely used in the research and development of flight control systems. The traditional dual PWM converter has hysteresis characteristics. When the load power is abrupt, especially when the load power is suddenly reduced, the DC output voltage of the PWM rectifier will fluctuate. Voltage fluctuations can be suppressed by increasing the capacitance of the DC side capacitors, but an increase in the capacitance capacity causes the adjustment time of the system to become longer and slows down the response speed of the system. By analyzing the fluctuation of DC output voltage caused by sudden load change, a variable feedforward control method for iq load power is proposed, which uses the method of compensating the active current on the grid side to achieve instantaneous active power balance on both sides. The simulation results show that the method reduces the DC capacitor capacity and improves the dynamic response speed of the system.

scholarly journals Vehicle Drive Control Using Fuzzy Based PI Speed Controller

2020 ◽  
Vol 2 (2) ◽  
pp. 68-75
Author(s):  
Dr. Subarna Shakya
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Control Method ◽  
Dynamic Performance ◽  
Permanent Magnet Synchronous Motor ◽  
Reference Value ◽  
Simulation Models ◽  
Response Speed ◽  
Speed Controller ◽  
Drive Control

This paper proposes a fuzzy PI speed controller which is used in electric vehicle’s drive control system insensitive to parameter change and disturbance, using fuzzy control theory. A permanent magnet synchronous motor (PMSM) is modelled mathematically in d-q reference frame. In this paper, a sliding model and fuzzy control theory are used to simulate the PMSM models using fuzzy control theory. Simulink software is used to analyze and simulate the simulation models which show that the proposed PI control based on fuzzy logic will have better anti-interference, better dynamic performance, and faster dynamic response speed when compared with the sliding motor control. Hence the proposed methodology is considered to be the ideal control method with a predefined vector control reference value for the electric vehicle’s motor.

scholarly journals An Adaptive Neuro-Fuzzy Control of Pneumatic Mechanical Ventilator

Actuators ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 51
Author(s):  
Jozef Živčák ◽  
Michal Kelemen ◽  
Ivan Virgala ◽  
Peter Marcinko ◽  
Peter Tuleja ◽  
...  
Keyword(s):  
Control System ◽  
Control Algorithm ◽  
Fuzzy Inference ◽  
Fuzzy Controller ◽  
Mechanical Design ◽  
Mechanical Ventilator ◽  
Mechanical Ventilators ◽  
Inference System ◽  
Control Approach ◽  
Neuro Fuzzy

COVID-19 was first identified in December 2019 in Wuhan, China. It mainly affects the respiratory system and can lead to the death of the patient. The motivation for this study was the current pandemic situation and general deficiency of emergency mechanical ventilators. The paper presents the development of a mechanical ventilator and its control algorithm. The main feature of the developed mechanical ventilator is AmbuBag compressed by a pneumatic actuator. The control algorithm is based on an adaptive neuro-fuzzy inference system (ANFIS), which integrates both neural networks and fuzzy logic principles. Mechanical design and hardware design are presented in the paper. Subsequently, there is a description of the process of data collecting and training of the fuzzy controller. The paper also presents a simulation model for verification of the designed control approach. The experimental results provide the verification of the designed control system. The novelty of the paper is, on the one hand, an implementation of the ANFIS controller for AmbuBag pressure control, with a description of training process. On other hand, the paper presents a novel design of a mechanical ventilator, with a detailed description of the hardware and control system. The last contribution of the paper lies in the mathematical and experimental description of AmbuBag for ventilation purposes.

Research on Fuzzy Control of Mine Ventilation Based on Embedded Systems

2014 ◽  
Vol 686 ◽  
pp. 126-131
Author(s):  
Xiao Yan Sha
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Control Unit ◽  
Real Time Control ◽  
Embedded Processor ◽  
Feed Forward ◽  
Time Control ◽  
Software And Hardware

Taking embedded processor as the core control unit, the paper designs the fan monitoring system software and hardware to achieve the fan working condition detection and real-time control. For the control algorithm, the paper analyzes the fuzzy control system theory and composition, and then combined with tunnel ventilation particularity, introduce feed-forward model to predict the incremental acquisition of pollutants to reduce lag, combined with the system feedback value and the set value, by calculate of two independent computing fuzzy controller, and ultimately determine the number of units increase or decrease in the tunnel jet fans start and stop. Through simulation analysis, the introduction of a feed-forward signal, it can more effectively improve the capability of the system impact of interference.

Design and Simulation of Temperature Control System in Intermittent Reaction Kettles Based on Intelligent Fuzzy Control

2013 ◽  
Vol 380-384 ◽  
pp. 294-297 ◽  
Author(s):  
Xin Wei Li
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Elevated Temperatures ◽  
Fuzzy Controller ◽  
Dynamic Performance ◽  
Temperature Curve ◽  
Time Variable ◽  
Temperature Control System ◽  
New Type

A temperature rising control system and temperature maintaining control system were designed in according to time-variable and hysteretic nature of temperature change and limitation when traditional PID control deals with nonlinear systems. A new type of intelligent fuzzy controller combination of traditional PID control and fuzzy control was designed and applied in temperature maintaining control system. The simulation results show that the holding phase at elevated temperatures and temperature, the temperature curve has a high steady-state accuracy and dynamic performance in the period of temperature rising and maintaining, and the system and controller cause a better result.

Sign in / Sign up

Export Citation Format

Share Document