scholarly journals Active Pressure Ripple Reduction of a Self-Supplied Variable Displacement Pump with Notch Least Mean Square Filter

Micromachines ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 932
Author(s):  
Xiaochen Huang ◽  
Bing Xu ◽  
Weidi Huang ◽  
Haogong Xu ◽  
Fei Lyu ◽  
...  
Keyword(s):  
Control System ◽  
Active Control ◽  
Pressure Pulsation ◽  
Control Signal ◽  
Control Technique ◽  
Mean Square ◽  
Least Mean Square ◽  
Displacement Pump ◽  
Variable Displacement ◽  
Pressure Ripple

As the power sources in hydraulic systems, variable displacement axial piston pumps generate flow fluctuation. Unfortunately, it results in pressure pulsation which excites the system vibration and emitted noise. The majority of studies try to eliminate the pulsation via a passive technique and the active control methodology has not been discussed in detail. In this research, the feasibility of reducing the pressure ripple by properly controlling the proportional valve has been investigated, which also supports the miniaturization of the active control system. A mathematical model of the self-supplied variable displacement pump including the control system has been developed. The filtered-X least mean square algorithm with time-delay compensation is utilized to calculate the active control signal. Simulation results show the effectiveness of the active control technique. The effect of the active control signal on the flow rate from different chambers of the pump has been analyzed. It demonstrates that the variation of the pressure pulsation should be ascribed to the comprehensive reaction of different flow rates. The major reason is that the flow of the actuator piston neutralizes the peak value of the flow ripple, generated by the nine pistons.

Constraint filtered‐x and filtered‐u least‐mean‐square algorithms for the active control of noise in ducts

1994 ◽  
Vol 95 (6) ◽  
pp. 3379-3389 ◽  
Author(s):  
In‐Soo Kim ◽  
Hee‐Seung Na ◽  
Kwang‐Joon Kim ◽  
Youngjin Park
Keyword(s):  
Active Control ◽  
Mean Square ◽  
Least Mean Square

Achieving a Variable Flow Supply by Controlled Unloading of a Fixed-Displacement Pump

1992 ◽  
Vol 114 (1) ◽  
pp. 166-171 ◽  
Author(s):  
S. P. Tomlinson ◽  
C. R. Burrows
Keyword(s):  
Computer Simulation ◽  
Control System ◽  
Experimental Results ◽  
Operational Performance ◽  
Variable Flow ◽  
Displacement Pump ◽  
Variable Displacement ◽  
Future Work ◽  
Experimental Rig

This paper addresses the operational performance of a fixed-displacement pump controlled by an unloading valve to provide a fluctuating flow source. This approach should be cheaper and more efficient than the use of a variable-displacement unit. Computer simulation is used to predict the performance of the system and act as a guide in optimizing the control system. An experimental rig has been constructed to examine the practicalities of these ideas. Some experimental results are presented. Future work will be concerned with noise and efficiency studies.

Research of Quantum Algorithm for Adaptive Active Noise Control System

2012 ◽  
Vol 457-458 ◽  
pp. 196-201
Author(s):  
Wei Jiang
Keyword(s):  
Control System ◽  
Adaptive Algorithm ◽  
Noise Control ◽  
Active Noise Control ◽  
Quantum Algorithm ◽  
Adaptive Controller ◽  
Lms Algorithm ◽  
Mean Square ◽  
Least Mean Square ◽  
Active Noise

Adaptive active noise control based on least mean square (LMS) algorithm is a linear adaptive filter so that it cannot obtain desired noise reduction. Quantum algorithm is combined with noise control to form quantum adaptive controller. Quantum adaptive algorithm is discussed completely and noise control system is simulated in order to analyze the effects of noise control.

Dynamic Analysis of a Variable Displacement Pump

1990 ◽  
Vol 112 (1) ◽  
pp. 122-132 ◽  
Author(s):  
G. J. Schoenau ◽  
R. T. Burton ◽  
G. P. Kavanagh
Keyword(s):  
Dynamic Performance ◽  
Critical Factor ◽  
Pressure Control ◽  
Control Signal ◽  
Hydraulic Control ◽  
New Techniques ◽  
Swash Plate ◽  
Displacement Pump ◽  
Variable Displacement ◽  
Time Trace

The ability of a variable displacement pump to respond to a control signal is a critical factor in assessing the dynamic performance of the circuit in which the pump is located. The need for a comprehensive dynamic response model of the pump is necessary if new techniques for control are to be realized. This paper presents a mathematical model, based on fluid mechanics considerations, of a variable displacement pump modulated by a hydraulic control signal. Many of the coefficients in the model depend on the pump model. In this study, a Vickers No. PVB5 pump is used. The describing equations are complex, nonlinear, and comprehensive in the initial model. Some nonlinear terms are simplified using linear approximations without significantly affecting accuracy. The model is subjected to a simulated pressure control signal and the output of the swash plate rotary displacement compared to an experimentally generated displacement time trace. The model and the experimental results show a good correlation.

Research of Electro-Hydraulic Proportional Variable Displacement Piston Pump Using Fuzzy Logic Control

2013 ◽  
Vol 655-657 ◽  
pp. 1179-1188
Author(s):  
Hai Bo Fan ◽  
Jian Jin ◽  
Ke Li Xing
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Low Noise ◽  
Piston Pump ◽  
Logic Control ◽  
Advanced Control ◽  
Displacement Pump ◽  
Variable Displacement

Electro-hydraulic proportional variable displacement piston pump is widely used in various fields because of energy-saving, low noise and advanced control technology. In this study, a fuzzy logic controller was used in a flow and pressure integrated controlled electro-hydraulic proportional variable displacement piston pump’s control system. The simulation model of variable displacement pump was built based on AMESim, and the model of control system with fuzzy logic controlled was built in Simulink. This study research the characteristics of electro-hydraulic proportional variable displacement piston pump’s control system through co-simulation.

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