Research on Multi-Actuators Speed Control System in Large-Scale Ship

2009 ◽  
Vol 16-19 ◽  
pp. 1138-1142
Author(s):  
Hui Xiong Wan ◽  
Hong Jie Xia ◽  
Hai Bo Huang
Keyword(s):  
Control System ◽  
Large Scale ◽  
Control Method ◽  
Flow Distribution ◽  
Speed Control ◽  
Effective Control ◽  
Control Methods ◽  
Compensation Control ◽  
Speed Control System ◽  
Pressure Compensation

For multi-actuators speed control system driven by single pump, several effective control methods have been proposed, such as flow feedback control, etc. These methods are effective only to the engineering equipment with fewer actuators. As for large ships with more than ten actuators required for speed control, using traditional control methods will result in that costs much, the structure of the hydraulic system is very complicated, even unable to realize. In order to meet the coordinate action of many actuators, two ways based on throttle control and pressure compensation control are introduced in this paper. The research results based on the theoretical analysis of speed control error and adaptability, simulation research and experimental confirmation indicate that the throttle control method is limited by the number of actuators, load size and the speed error, but the pressure compensation control method is helpful to enhance rationality and the coordination of flow distribution between various actuators.

Research on Multi-Actuators Speed Control Methods in Large-Scale Vessel

2009 ◽  
Vol 419-420 ◽  
pp. 85-88
Author(s):  
Hui Xiong Wan ◽  
Hui Huang ◽  
Hai Bo Huang
Keyword(s):  
Large Scale ◽  
Control Method ◽  
Flow Distribution ◽  
Speed Control ◽  
Effective Control ◽  
Control Methods ◽  
Simulation Research ◽  
Compensation Control ◽  
Speed Error ◽  
Pressure Compensation

For multi-actuators speed control system driven by single pump, several effective control methods have been proposed, such as flow feedback control, etc. These methods are effective only to the engineering equipment with fewer actuators. As for large vessels with more than ten actuators required for speed control, using traditional control methods will result in that costs much, the structure of the hydraulic system is very complicated, even unable to realize. In order to meet the coordinate action of many actuators, two ways based on throttle control and pressure compensation control are introduced in this paper. The research results based on the theoretical analysis of speed control error and adaptability, simulation research and experimental confirmation indicate that the throttle control method is limited by the number of actuators, load size and the speed error, but the pressure compensation control method is helpful to enhance rationality and the coordination of flow distribution between various actuators.

Research on Applied Technology with PID Control Theory and Design Methods

2014 ◽  
Vol 886 ◽  
pp. 369-373 ◽  
Author(s):  
Chun Juan Han ◽  
Fa Cheng Rui
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Large Scale ◽  
Frequency Control ◽  
Rapid Development ◽  
Speed Control ◽  
Outer Loop ◽  
Fundamental Factor ◽  
Speed Control System

PID control (fuzzy control) is one of the earliest and most widely used control laws in process control applications. It can obtain satisfactory control results for most industrial objects. People use PID control (or PI, PD control) in a variety of controllers in frequency control system. However, with the rapid development of modern large-scale industry, and the degree of automation is getting higher and higher, the scope of applications in frequency control technology has been continuously expanding, while it has wider and deeper requirements for the performance of speed control system. AC drive system has uncertain factors, such as the existing parameter variability, load disturbance, nonlinear and strong coupling in under controlled AC motors, they will seriously affect the performance of speed control system. The traditional PID control seems a little powerless. The fuzzy control is a nonlinear control in essence, it can significantly improve the robustness of the system comparing to linear PI controller, and it can more effectively overcome various nonlinear factors in transmission system. For a multi-loop speed control system, the outer loop is the fundamental factor in determining the system performance. Inner loop is mainly for changing object properties in order to facilitate the controlling actions of the outer loop. The sampling frequency of inner loop is lower than the one in outer loop, which is facilitating for the realization of intelligent control.

Design of speed control system in biogas fuel generator set by using PID control method

2020 ◽  
Author(s):  
Arief Abdurrakhman ◽  
Bambang Lelono Widjiantoro ◽  
Herman Pratikno ◽  
Farida Iasha ◽  
Andi Rahmadiansyah
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Method ◽  
Speed Control ◽  
Speed Control System

Optimization of the Elevator Speed Control System

2011 ◽  
Vol 101-102 ◽  
pp. 405-409
Author(s):  
Wen Yu ◽  
Li Xu ◽  
Shu Li Sun
Keyword(s):  
Control System ◽  
Social Development ◽  
Control Method ◽  
Speed Control ◽  
New Method ◽  
Speed Control System

In order to meet the demand of social development, improve the speed and comfort during elevator running process, the elevator speed control system is studied in this article. One new elevator speed control method is put forward. The implementing process of the new method and the design of elevator speed curve are elaborated in detail. The new control method has good utility in improving the running efficiency and the riding comfort for the elevator.

Motor Control System Based on DSP Four-Bridge Arm Topology

2014 ◽  
Vol 644-650 ◽  
pp. 553-558
Author(s):  
Juan Feng
Keyword(s):  
Motor Control ◽  
Control System ◽  
Control Method ◽  
Dimensional Space ◽  
Asynchronous Motor ◽  
Speed Control ◽  
Torque Ripple ◽  
Space Vector ◽  
Speed Control System ◽  
Motor Control System

This paper proposes a space vector motor control system based on DSP four-legged bridge topology A three-dimensional space vector control principle based on four-bridge arm three-phase inverter is introduced with a MATLAB model using space vector Motor Control Algorithm instead of traditional Motor Control method. A DSP experimental setup is also carried out to verify the control theory and simulation result. The experiment and simulation results show that the speed control system helps the asynchronous motor to achieve the consistent response characteristics with separately excited DC machine. When the motor doesn't work or the load is unstable, asynchronous motor can still achieve excellent electrical characteristics with the proposed speed control system, such as quick start, small overshoot and static torque ripple.

scholarly journals Measurement, Modeling, and Optimization Speed Control of BLDC Motor Using Fuzzy-PSO Based Algorithm

2021 ◽  
Vol 5 (1) ◽  
pp. 17-25
Author(s):  
Izza Anshory ◽  
Dwi Hadidjaja ◽  
Indah Sulistiyowati
Keyword(s):  
Control System ◽  
Steady State ◽  
Rise Time ◽  
Speed Control ◽  
Physical Parameters ◽  
Control Methods ◽  
Bldc Motor ◽  
Motor Speed ◽  
Modeling And Optimization ◽  
Speed Control System

Measurement, modeling, and optimization are three important components that must be done to get a better system on the BLDC motor speed control system. The problem that arises in the BLDC motor speed control system is the instability indicated by a high overshoot value, a slow rise time value, and a high error steady-state. The purpose of this study is to increase the stability indicator by eliminating the high value of overshoot and error steady-state and increasing the value of the rise time. The method used in this research is to measure the input and output physical parameters, to model the BLDC motor plant mathematically and the last is to perform optimization using several control methods such as Proportional Integral Derivative (PID) control, fuzzy logic intelligent control, and Particle Swarm Optimization algorithm. (PSO). Experimental and simulation results show that the PSO algorithm has a better value in increasing stability indicators when compared to the other two control methods with a rise time of 0.00121 seconds, settling time of 0.00241 seconds, and overshoot of 0%.

Simulation Research on Steering Electromotor Control for Electric Pallet Truck Based on Fuzzy Adaptive PID

2011 ◽  
Vol 101-102 ◽  
pp. 564-568
Author(s):  
Li Sheng Shu ◽  
Guo Ping Li
Keyword(s):  
Control System ◽  
Control Method ◽  
Speed Control ◽  
Control Device ◽  
Steering Control ◽  
Simulation Research ◽  
Brushless Dc ◽  
Speed Control System ◽  
Static Performance ◽  
Fuzzy Adaptive

According to the mathematical model of brushless DC motor (BLDCM), control equations of BLDCM speed control system and simulation model were established for steering control device in electric pallet truck based on transfer function in Matlab/Simulink. The fuzzy adaptive PID control method was introduced to speed control system, and it can realize PID parameter’s online adjustment. Simulation result shows that the designed speed controller based on fuzzy adaptive PID has better dynamic and static performance than the controller based on traditional PID, and the control accuracy is also greatly improved.

Researching of Speed Regulation System for AC Permanent Magnet Synchronous Motor

2013 ◽  
Vol 303-306 ◽  
pp. 1204-1208 ◽  
Author(s):  
Bing Li ◽  
Yue Zhen Feng
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Speed Control ◽  
Synchronous Motor ◽  
Regulation System ◽  
Pi Control ◽  
Adaptive Fuzzy ◽  
Speed Control System

In order to improve the speed performance of permanent magnet synchronous motor(PMSM) speed control system, and increase system reliability and adaptability, PMSM current-speed double close loop speed control system based vector control was designed. Current loop adopted traditional PI controller, speed controller adopted adaptive fuzzy PI control method which was based on traditional PI control method and fuzzy control method. Space voltage pulse width modulation (SVPWM) technology was used to control working condition of the inverter. The system simulation model was established in MATLAB/SIMULINK environment, and ran this simulation model.The simulation results show that: This system is feasible, and adaptive fuzzy PI control system has better dynamic and static characteristics than traditional PI control method.

Modeling and Simulation of Brushless DC Motor Speed Control System Based on SPWM

2014 ◽  
Vol 889-890 ◽  
pp. 947-950
Author(s):  
Shuo Wu ◽  
Guang Jun Ma
Keyword(s):  
Control System ◽  
Modeling And Simulation ◽  
Closed Loop ◽  
Pulse Width Modulation ◽  
Speed Control ◽  
Dc Motor ◽  
Control Mode ◽  
Effective Control ◽  
Motor Speed ◽  
Speed Control System

This paper introduces the composition of double closed loop DC speed control system of DC motor speed and current, it is described the working principle of DC PWM converter and the calculating method of the pulse width modulation technology. Using the Matlab software to the induction motor system of modeling and simulation based on the technology of SPWM . Observed in the steady state and dynamic system using SPWM control mode and the influence of control parameters. Finally, experimental results show that the SPWM technology for effective control of double closed loop DC speed control system

Brushless DC Motor Speed Control System Based on Fuzzy PID Control

2014 ◽  
Vol 989-994 ◽  
pp. 3172-3176
Author(s):  
Yi Hui Zhang ◽  
Le Peng Song
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Method ◽  
Speed Control ◽  
Dc Motor ◽  
Fuzzy Pid ◽  
Motor Speed ◽  
Fuzzy Pid Control ◽  
Brushless Dc ◽  
Speed Control System

Brushless DC mo tor speed control system is a multivariate, strong coupling, non linear, time-varying complex system, but adopting traditional PID control method to carry ou t control is difficult to achieve good control effect A kind of PID controller with fuzzy algorithm setting on-line PID parameters automatically was designed and applied in brush less DC motor speed control system, using the voltage , speed and torque equation of brush less DC motor, according to the parameters of the mo tor, the controler adopts fuzzy theory to adjust the PID parameters, in order to obtain high-precision speed control Results of simulation experiment show that the fuzzy PID control method compared with normal PID control is with better control performance, non overshoot quick velocity response, higher control precision and good rubustness, which is insensitive to the parameter chattering and many disturbances.

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