ON SELF-LEARNING CONTROL STRATEGY FOR ROBOT MANIPULATORS

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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A Self-learning Control Strategy for Vibration Isolated Control Moment Gyroscope

2020 Chinese Automation Congress (CAC) ◽

10.1109/cac51589.2020.9327770 ◽

2020 ◽

Author(s):

Lin Lai ◽

Ming Lu ◽

Jiyang Zhang ◽

Qiang Zhang ◽

Gang Li

Keyword(s):

Control Strategy ◽

Learning Control ◽

Control Moment Gyroscope ◽

Control Moment ◽

Self Learning

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Neural Network Based Self-Learning Control Strategy for Electronic Throttle Valve

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2010.2044521 ◽

2010 ◽

Vol 59 (8) ◽

pp. 3757-3765 ◽

Cited By ~ 25

Author(s):

Xiaofang Yuan ◽

Yaonan Wang ◽

Lianghong Wu ◽

Xizheng Zhang ◽

Wei Sun

Keyword(s):

Neural Network ◽

Control Strategy ◽

Learning Control ◽

Electronic Throttle ◽

Throttle Valve ◽

Self Learning

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

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.37-38.1544 ◽

2010 ◽

Vol 37-38 ◽

pp. 1544-1548

Author(s):

Lan Tang ◽

Wu Qiang Meng ◽

Hai Yun Gan

Keyword(s):

Control Strategy ◽

Learning Control ◽

Exhaust Gas ◽

Lean Burn ◽

Fuel Ratio ◽

Test Engine ◽

Switch Type ◽

Working Principle ◽

Self Learning ◽

Control Accuracy

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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