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Research Papers

A Novel Control Strategy for Pilot Controlled Proportional Flow Valve With Internal Displacement-Flow Feedback

[+] Author and Article Information
He Wang, Xiaohu Wang

Key Laboratory of Advance Transducers
and Intelligent Control System,
Ministry of Education,
Taiyuan University of Technology,
Taiyuan 030024, China

Jiahai Huang

Key Laboratory of Advance Transducers
and Intelligent Control System,
Ministry of Education,
Taiyuan University of Technology
Taiyuan 030024, China

Jun Wang

Key Laboratory of Advance Transducers and
Intelligent Control System,
Ministry of Education,
Taiyuan University of Technology,
Taiyuan 030024, China

Long Quan

Key Laboratory of Advance Transducers
and Intelligent Control System,
Ministry of Education,
Taiyuan University of Technology,
Taiyuan 030024, China
e-mail: quanlong@tyut.edu.cn

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received December 11, 2017; final manuscript received May 17, 2018; published online June 18, 2018. Assoc. Editor: Shankar Coimbatore Subramanian.

J. Dyn. Sys., Meas., Control 140(11), 111014 (Jun 18, 2018) (9 pages) Paper No: DS-17-1612; doi: 10.1115/1.4040328 History: Received December 11, 2017; Revised May 17, 2018

The present study is focused on the construction of a well-performing pilot controlled proportional flow valve with internal displacement-flow feedback. A novel control strategy for the valve is proposed in which the flow rate through the valve is directly controlled. The linear mathematical model for the valve is established and a fuzzy proportional–integral–derivative (PID) controller is designed for the flow control. In order to obtain the flow rate used as feedback rapidly and accurately in real-time, back propagation neural network (BPNN) is employed to predict the flow rate through the valve with the pressure drop through the main orifice and main valve opening, and the predicted value is used as the feedback. Both simulation and experimental results show that the predicted value obtained by BPNN is reliable and available for the feedback. The proposed control strategy is effective with which the flow rate through the valve remains almost constant when the pressure drop through the main orifice increases and the valve can be applied to the conditions where the independence of flow rate and load is required. For the valve with the proposed control strategy, the nonlinearity is less than 5.3%, the hysteresis is less than 4.2%, and the bandwidth is about 16 Hz. The static and dynamic characteristics are reasonable and acceptable.

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Figures

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Fig. 1

Pilot controlled proportional valve with internal displacement-flow feedback

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Fig. 2

Control strategy for pilot controlled proportional flow valve with internal displacement-flow feedback

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Fig. 3

Block diagram of the valve model

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Fig. 4

Structure of fuzzy PID controller

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Fig. 5

Structure of the BPNN model

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Fig. 6

Test rig of the valve: 1—oil tank, 2—filter, 3—variable pump, 4—relief valve, 5—cooler, 6—check valve, 7—main valve, 8—pressure sensor, 9—displacement sensor, 10—pilot valve, 11—flow meter, 12—flow valve, 13—controller, and 14—computer

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Fig. 7

Comparison between the predicted flow rate and the actual flow rate

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Fig. 8

Flow rate through the valve with the proposed control strategy

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Fig. 9

Main valve opening with the proposed control strategy

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Fig. 10

Flow rate through the valve without flow control strategy

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Fig. 11

Flow rate through the valve at step increased pressure drop through the main orifice

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Fig. 12

Flow rate through the valve at step decreased pressure drop through the main orifice

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Fig. 13

Flow characteristics of the valve

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Fig. 14

Step response of the pilot valve

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Fig. 15

Frequency response of the valve

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