Pump-Control-Motor Combined Speed Governing Control Platform Based on Virtual Instrument

2010 ◽  
Vol 37-38 ◽  
pp. 919-922
Author(s):  
Tian Hao Peng ◽  
Jia Dong Liu ◽  
Xiao Song Hao ◽  
Mei Sheng Yang
Keyword(s):  
Fuzzy Control ◽  
Virtual Instrument ◽  
Pid Controller ◽  
Experimental System ◽  
Speed Control ◽  
Control Model ◽  
Experimental Results ◽  
Control Technology ◽  
Variable Speed ◽  
Self Tuning

An integrated hydraulic speed control platform including fuzzy self-tuning PID controller is developed using LabVIEW. The pump-control-motor variable speed throttle combined speed governing experimental system is tested under the different speed governing control model. Experimental results show that, the complex speed control can be regulated to maintain a desired response and the fuzzy control technology enables better control characteristics.

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.

Study on Control Technology of Double-Fed Motor Based on PLC and General Inverter

2012 ◽  
Vol 580 ◽  
pp. 46-50
Author(s):  
Cheng Wu Lin ◽  
Jia Lin Shi ◽  
Bo Lu
Keyword(s):  
Theoretical Analysis ◽  
Control Method ◽  
Communication Protocol ◽  
Frequency Control ◽  
Experimental System ◽  
Control Model ◽  
Experimental Results ◽  
Control Technology ◽  
Doubly Fed ◽  
Application Prospects

In this paper, a voltage and frequency control model of double-fed motor excitation is put forward. This method has the ability to separate frequency and voltage adjustment of a general inverter by using USS communication protocol between the PLC and the general inverter. On this basis, the experimental system is constructed, and the related experiments are studied. Theoretical analysis and experimental results show that the proposed control method is feasible and has wide application prospects. It is very suitable for doubly-fed motors and other loads which need control of frequency and voltage.

SPEED CONTROL OF BLDC MOTOR WITH SEAMLESS SPEED REVERSAL CAPABILITY USING MODIFIED FUZZY GAIN SCHEDULING

2018 ◽  
Vol 80 (2) ◽  
Author(s):  
Satishrao Pothorajoo ◽  
Hamdan Daniyal
Keyword(s):  
Pid Controller ◽  
Speed Control ◽  
Gain Scheduling ◽  
Test Case ◽  
Test Cases ◽  
Nonlinear Loads ◽  
Speed Test ◽  
Fuzzy Pid Controller ◽  
Speed Controller ◽  
Self Tuning

Brushless Direct Current (BLDC) motors have gained popularity in recent years due to their high-power density. Many type of speed controller techniques have been developed and Proportional Integral Derivative (PID) controller has been the most widely used. However, PID’s performance deteriorates during nonlinear loads conditions. Over the past five years, controllers have been developed to overcome this limitations in BLDC speed control, however the solutions are focusing on forward motoring only. In this paper, a speed controller for BLDC with seamless speed reversal using Modified Fuzzy Gain Scheduling is proposed. The proposed controller regulates the speed using Fuzzy Gain Scheduling 49 base rules. The controller was tested for six test cases and compared to PID and Self-Tuning Fuzzy PID controller. It is found out the proposed controller yields lowest steady state error, ess of 0.025 % during step-changing speed test case. Overall, Modified Fuzzy Gain Scheduling BLDC speed controller outperforms the other two similar controllers in variable speed conditions. The controller has potential to be used as bidirectional drive in highly dynamic load conditions.

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.

Study on Uninterrupted Shift Transmission Shift Strategy Based on Fuzzy Control

2013 ◽  
Vol 791-793 ◽  
pp. 668-671
Author(s):  
Ke Gang Zhao ◽  
Hao Chang ◽  
Yong Liang Hu ◽  
Wei Hao Yao
Keyword(s):  
Fuzzy Control ◽  
Control Strategy ◽  
Experimental Results ◽  
Control Technology ◽  
Shift Quality ◽  
Shift Control ◽  
Shift Strategy ◽  
Fuzzy Control Strategy

Uninterrupted Shift Transmission (UST) is a novel vehicle transmission and which is introduced as the research object in this paper. It realizes torque uninterrupted shift by controlling dual multimode controlled shifter (MCS) modes and synchronizers. Fuzzy control technology is adopted in shift control strategy in order to improve its shift quality. Experimental results show that the fuzzy control strategy can improve the shift quality of UST effectively.

Fuzzy Control Tuning Method of Digital PID Parameters

2012 ◽  
Vol 499 ◽  
pp. 469-473
Author(s):  
Yan Zhong Huo ◽  
Guo Ling Niu ◽  
Shi Jun Ma ◽  
Xu Du
Keyword(s):  
Fuzzy Control ◽  
Pid Controller ◽  
Control Method ◽  
Parameter Tuning ◽  
Control Technology ◽  
Tuning Method ◽  
Parameters Tuning ◽  
Digital Pid ◽  
Controller Performance ◽  
Pros And Cons

As a control method, PID control is the most widely used in industrial processes. However, PID controller parameter tuning of the pros and cons of PID controller performance has been an important factor. Fuzzy control technology is an advanced intelligent control technology, because of its advanced features and easy implementation, it can develop rapidly. This paper describes the theory and method of fuzzy control to realize the dynamic PID controller parameters tuning approach to the PID controller to achieve the best control performance.

scholarly journals Evolving the Controller of Automated Steering of a Car in Slippery Road Conditions

Algorithms ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 108 ◽  
Author(s):  
Natalia Alekseeva ◽  
Ivan Tanev ◽  
Katsunori Shimohara
Keyword(s):  
Genetic Programming ◽  
Autonomous Vehicles ◽  
Pid Controller ◽  
Control Model ◽  
Servo Control ◽  
Experimental Results ◽  
Pd Controller ◽  
Quality Of Control ◽  
Computing Paradigm

The most important characteristics of autonomous vehicles are their safety and their ability to adapt to various traffic situations and road conditions. In our research, we focused on the development of controllers for automated steering of a realistically simulated car in slippery road conditions. We comparatively investigated three implementations of such controllers: a proportional-derivative (PD) controller built in accordance with the canonical servo-control model of steering, a PID controller as an extension of the servo-control, and a controller designed heuristically via the most versatile evolutionary computing paradigm: genetic programming (GP). The experimental results suggest that the controller evolved via GP offers the best quality of control of the car in all of the tested slippery (rainy, snowy, and icy) road conditions.

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