PUKYONG

A Study on Control of an Electro-Hydraulic Servo Valve

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Abstract
The performances of a hydraulic servo system are most influenced by the electro-hydraulic servo valves. Therefore, to improve performance of the system, it can be done by improving the performance of the servo valve. In the hydraulic control system, servo valves are classified into single-stage (direct drive servo valve (DDV)) and multi-stage servo valve. The DDV has a simple construction and inexpensive, but the capacity of this valve is limited by the steady state flow force in the spool. This problem can be solved by using a voice coil motor, but the total construction of this valve becomes bulky. Therefore the application of this valve in the mobile application, like in a mobile robot and an airplane is not convenience. To overcome this problem, two-stage servo valves are applied.
Two-stage servo valves have a preamplifier (first-stage) which substantially multiplies the output force of the torque motor to overcome the total force in the spool-sleeve valve. The servo valve in this research is from SG servo with 63 lpm capacity. The frequency response of this valve is up to 60 Hz for 40% of full stroke. In this study, in order to increase the performance of the servo valve, the author designed and modified the servo valve by assembling an electrical position sensor to the servo valve. The electrical position sensor is assembled in order to eliminate the steady state error and to get a faster response of the valve.
By using the sensor, a closed-loop control system to the valve can be realized. A dither is often used to improve the performance of the servo valve. The dither can reduce or remove the backlash of the servo valve. In the closed-loop control system, the dither signal can induce oscillation of the servo valve. To reduce or eliminate this phenomenon, a specific filter is needed to avoid dither signal feedback to the controller.
Before applying a closed-loop control system to the servo valve, an appropriate model should be obtained. In 0, the model was built by using a second-order mathematical model and a third order mathematical model. The second and third-order mathematic models were built by using the experimental data of the servo valve.
At first, a control strategy by using feedforward (FF) and input shaping control (ISF) controller to the PI-D controller is proposed. Application of the PI-D controller has a good performance of the servo valve. The response getting faster but the delay of the servo valve becomes higher. The feedforward controller is effective to eliminate the delay of the servo valve, but the feedforward controller stimulates a high gain in the control input of the servo valve. In this study, a high gain indication in the control input is eliminated by using the input shaping filter (ISF). The suggested controller is experimentally verified
The second proposed controller is an integral sliding mode control (ISMC) combined Luenberger observer (LO). The ISMC is one of the most widely used because of its robustness to disturbance and parameter uncertainty. The servo valve itself has a big value of flow force as a disturbance and the servo valve model has a mismatch due to an uncertainty parameter of the servo valve.
In order to realize the application of the ISMC in the servo valve, the state variable of speed and acceleration of the spool are needed. Measuring of all parameter is not a good choice to solve this problem. An observer can be applied as a mathematic sensor to this system. The observer in this paper is a Luenberger observer (LO). The suggested controller is verified experimentally.
The second proposed controller is an integral sliding mode control (ISMC) combined the Luenberger observer (LO). The ISMC is one of the most widely used because of its robustness to disturbance and parameter uncertainty. The servo valve itself has a big value of flow force as a disturbance and the servo valve model has a mismatch due to an uncertainty parameter of the servo valve.
The third proposed controller is a sensor-less controller by applying an input shaping filter (ISF) and a feedforward (FF) to the servo valve without taking feedback from the output system. In applying FF and ISF, state feedback from the system is not needed, therefore it will give a big advantage to the servo valve.
The dynamic characteristics of the valves are generally evaluated by Bode diagram/ frequency response. Servo valve has a wide range of the frequency response, therefore a fast measuring method is needed (small sampling time). In order to get real-time and high-frequency data, a Simulink Real-Time (SLRT) is applied in this experiment.
Author(s)
ISTANTO IWAN
Issued Date
2019
Awarded Date
2019. 8
Type
Dissertation
Publisher
부경대학교
URI
https://repository.pknu.ac.kr:8443/handle/2021.oak/23449
http://pknu.dcollection.net/common/orgView/200000224471
Affiliation
부경대학교 대학원
Department
대학원 기계설계공학과
Advisor
Ill-Yeong Lee
Table Of Contents
Chapter 1 Introduction 1
1.1 Background and purpose of the study 2
1.2 Thesis outline 14

Chapter 2 Mathematical model of the Servo Valve 17
2.1 Introduction 18
2.2 Overview of the servo valve controlled system 20
2.2.1 Outline of the control and the measurement system 20
2.2.2 The hardware of the control and measuring system 24
2.2.3 The software of the control and measuring system 28
2.3 Modeling of the servo valve 29
2.3.1 The exact model of the servo valve 30
2.3.2 Second-order model of the servo valve 37
2.3.3 Third order model of the servo valve 38
2.4 Conclusions 39

Chapter 3 Application of Input Shaping Filter (ISF) -Feedforward (FF) - PI-D Control to the Servo Valve 40
3.1 Introduction 41
3.2 Controller design for the servo valve 43
3.2.1 Design of the PI-D control 44
3.2.2 Design of the feed-forward (FF) –PI-D control 46
3.2.3 Design of the input shaping filter (ISF) 48
3.2.4 Stability verification of the designed system 50
3.2.5 Design of the Low pass filter 51
3.3 Control performance of the servo valve y applying the PI-D, the FF-PI-D and the ISF-FF-PI-D 52
3.3.1 Time responses under a stepwise input 52
3.3.2 Frequency responses 60
3.3.3 Steady-state characteristics 62
3.4 Conclusions 64

Chapter 4 Application of Integral Sliding Mode Control (ISMC) and Luenberger Observer (LO) to the Servo Valve 65
4.1 Introduction 66
4.2 Design of the integral sliding mode control (ISMC) 69
4.2.1 Design of the equivalent control input ( ) 71
4.2.2 Design of switching hyperplane 71
4.2.3 Design of switching control input 73
4.3 Design of Luenberger Observer (LO) 81
4.4 Control performance of the servo valve 85
4.4.1 Simulation and experimental method 85
4.4.2 Simulation results 89
4.4.3 Experimental results 93
4.5 Conclusions 102

Chapter 5 Application of Sensor-less Control to the Servo Valv 103
5.1 Introduction 104
5.2 Application of feedforward (FF) controller the servo valve 107
5.2.1 Design of the FF controller 107
5.2.2 Simulation model of the FF style sensor-less control 109
5.2.3 Simulation results of the FF style sensor-less control 111
5.2.4 Design of the Input Shaping Filter (ISF)-Feedforward (FF) Open loop Control 113
5.3 Control performance of the sensor-less control of the servo valve 115
5.4 Conclusions 122

Chapter 6 Conclusions 123

References 127

Publications 136

Appendix 137
A.1 Detailed configuration of the SLRT 137
A.2 Estimation of the external disturbance 144
A.3 Estimation of the 146
A.4 Derivation of Eq.(4.8) 147
A.5 Variation parameters in the servo valve 148
A.6 Design of the Optimum PI-D control 151
Degree
Doctor
Appears in Collections:
산업대학원 > 기계설계공학과
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