The Research of Air Fuel Ratio Self-Learning Control Strategy Based on UEGO Sensor

This paper begins with physical characteristics and the basic working principle of the traditional switch-type Exhaust Gas Oxygen (EGO) sensor and Universal Exhaust Gas Oxygen (UEGO) senor, and then it analyses the Air-Fuel ratio (A/F) Self-learning Control strategy and designs A/F Self-learning Control algorithm of Electronic Control Turbocharged CNG lean-burn engine based on UEGO sensor. At the end, it uses the written control code into ECU of the test engine, and after bench calibration tests it shows that the designed algorithm can compensate wearing, tiring, aging and other state of the engine and improve A/F control accuracy.

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ON SELF-LEARNING CONTROL STRATEGY FOR ROBOT MANIPULATORS

Robot Control 1988 (Syroco '88) ◽

10.1016/b978-0-08-035742-3.50037-x ◽

1989 ◽

pp. 195-200

Author(s):

Song Yong-duan ◽

Gao Wei-bing ◽

Cheng Mian

Keyword(s):

Control Strategy ◽

Robot Manipulators ◽

Learning Control ◽

Self Learning

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A study on self-learning control strategy for AMT clutch key control parameter

2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific) ◽

10.1109/itec-ap.2014.6940685 ◽

2014 ◽

Cited By ~ 2

Author(s):

Zaimin Zhong ◽

Chunxian Wang ◽

Haikang Wu ◽

Xinbo Chen

Keyword(s):

Control Strategy ◽

Control Parameter ◽

Learning Control ◽

Self Learning

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Research on Synchronous Control Technique of the Tube Hydroforming

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.233.142 ◽

2012 ◽

Vol 233 ◽

pp. 142-145

Author(s):

Jin Yu ◽

Deng Xu ◽

Guo Qing Huang

Keyword(s):

Control Strategy ◽

Iterative Learning Control ◽

Tube Hydroforming ◽

Great Influence ◽

Learning Control ◽

Iterative Learning ◽

Control Technique ◽

Important Indicator ◽

Synchronous Control ◽

Control Accuracy

Synchronous control accuracy of side-cylinders of the hydroforming press is a very important indicator , it has a great influence on the quality of products. Generally, people take PID control strategy to improve the precision of hydroforming press. In this paper, a mathematical model of the side-cylinders’ hydraulic system is established and the PID and iterative learning control strategy is used, respectively, to find which one is better . The results show that the iterative learning control strategy has a higher synchronous control accuracy.

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Research on Adaptive Learning Control Strategy of Daul-Cylinder Synchronous Hydraulic System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.456.240 ◽

2013 ◽

Vol 456 ◽

pp. 240-243

Author(s):

Guo Hua Zhao

Keyword(s):

Adaptive Learning ◽

Control Strategy ◽

Hydraulic System ◽

Simulation Analysis ◽

Learning Control ◽

Servo Control ◽

Control Scheme ◽

Adaptive Learning Control ◽

Incremental Form ◽

Self Learning

In allusion to the system that there is but only severe time-varying and non-flexible coupling between the two hydraulic channels, the daul-cylinder hydraulic synchronous movement servo control system is designed for large die casting equipment, and its control model is establish. By guiding thought of self-learning control strategy, two levels of speed control scheme is adopted in the hydraulic system, namely the level adjustment and secondary servo compensation adjustment. On the basis, adaptive learning control scheme is established. Thus, its control strategy algorithm of incremental form is presented. Finally, through MATLAB(R2010a), the simulation analysis has been carried on to the system, the emulational results show that the control scheme can make the system to achieve excellent performances of synchronous movement.

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