Novel Integrated Active and Passive Control of Fluid-Borne Noise in Hydraulic Systems

2021 ◽  
Author(s):  
Min Pan ◽  
Chenggang Yuan ◽  
Beichen Ding ◽  
Andrew Plummer
Keyword(s):  
Control System ◽  
Passive Control ◽  
Integrated Control ◽  
Low Noise ◽  
Fluid Power ◽  
Variable Step Size ◽  
Hydraulic Fluid ◽  
Active System ◽  
Step Size ◽  
Pressure Ripples

Abstract Fluid-borne noise (FBN) is a major contributor to structure-borne noise (SBN) and air-borne noise (ABN) in hydraulic fluid power systems and could lead to increased fatigue in system components. FBN is caused by the unsteady flow generated by pumps and motors and propagates through the system resulting in SBN and ABN. New hydraulic technologies such as digital switched hydraulic converters also generate unavoidable FBN. This article reports on a novel integrated FBN attenuation approach, which employs a hybrid control system by integrating an active feed forward noise attenuator with passive tuned flexible hoses. The active system which consists of adaptive notch filters using a variable step-size filtered-X Least Mean Squares algorithm is used to control a newly designed high-force high-bandwidth piezoelectric actuator in order to attenuate the dominant narrowband pressure ripples. The passive hose is tuned in the frequency domain and used to cancel the high-frequency pressure ripples. A time-domain hose model considering coupling of longitudinal wall and fluid waves was used to model the flexible hose in the integrated control system. Very good FBN cancellation was achieved by using the integrated control approach in simulation and experiments. It is an effective, cost-efficient and practical solution for FBN attenuation. The problem of high noise levels generated by hydraulically powered machines has risen significantly in awareness within industry and amongst the general public, and this work constitutes an important contribution to the sustainable development of low noise hydraulic fluid power machines.

Vibration control by active integrated control system under bidirectional ground motions

2020 ◽  
pp. 136943322096372
Author(s):  
Osman Akyürek ◽  
Nakin Suksawang
Keyword(s):  
Control System ◽  
Structural Control ◽  
Passive Control ◽  
Integrated Control ◽  
Active Form ◽  
Linear Quadratic Regulator ◽  
Active System ◽  
Linear Quadratic ◽  
Control Approach ◽  
Integrated Control System

To improve the safety and security of the structures with irregular plan configuration, the new torsionally effective passive control system (ICS) was first proposed by the author, which utilizes a new design configuration to dissipate the unwanted energy from the structures in the lateral and torsional directions. In this research, a new active structural control approach, which is the active form of the ICS (or active integrated control system, AICS), is introduced as an alternative active control system, especially for the buildings with torsional sensitivity. In the design of active system configurations, two actuators driven by the linear quadratic regulator (LQR) are implemented and used to apply the optimum control forces to the ATMDs and AICS. For examining the performance of the proposed system configuration, the final design is applied to the 9-story Benchmark steel structure subjected to bidirectional three historical earthquakes. The obtained results show the overall performance of structural performance by using the AICS is substantially improved as compared to conventional ones (ATMDs) under selected ground accelerations with a 3% to 6% improvement in the lateral directions and by nearly 20% in the torsional direction in terms of the peak and root mean square response reduction.

Novel Integrated Control of Fluid-Borne Noise in Hydraulic Systems

2018 ◽  
Author(s):  
Min Pan ◽  
Beichen Ding ◽  
Chenggang Yuan ◽  
Jun Zou ◽  
Huayong Yang
Keyword(s):  
Hybrid Control ◽  
Integrated Control ◽  
Low Noise ◽  
Variable Step Size ◽  
Least Mean Square ◽  
Hydraulic Systems ◽  
Step Size ◽  
The Sustainable Development ◽  
Control Approach ◽  
Hydraulic Machines

The noise in hydraulic machines presents itself as fluid-borne noise (FBN), structure-borne noise (SBN) and air-borne noise (ABN). FBN is caused by the unsteady flow produced by pumps and motors or the operation of digital hydraulics, and propagates through the system causing SBN, which in turn causes ABN. This article reports on a novel integrated FBN attenuation approach, which employs a hybrid control system by integrating an active feedforward noise attenuator with passive tuned flexible hoses. The passive hoses are tuned to cancel the high-frequency pressure pulsations, whilst the active controller is designed to attenuate the dominant harmonic ripples. Adaptive notch filters with a variable step-size filtered-X Least Mean Square algorithm were applied in the new designed active piezoelectric actuator with high preload and operating forces, a wide bandwidth and very good linear dynamics. A time-domain hose model considering coupling of longitudinal wall and fluid waves was used to model and tune the flexible hose. Very good FBN cancellation was achieved by using the proposed integrated control approach, which was validated by comparing with numerical simulation and experiments. It can be concluded that the active attenuator with passive flexible hoses can form an effective, cost-efficient and practical solution for FBN attenuation. As the problem of high noise levels generated by hydraulically powered machines has risen significantly in awareness amongst industry and the general public, this work constitutes an important contribution to the sustainable development of low noise hydraulic fluid power machines.

Adaptive IIR Filter Using Variable Step Size for Active Noise Control Inside a Short Duct

2008 ◽  
Author(s):  
Ho-Wuk Kim ◽  
Sang-Kwon Lee
Keyword(s):  
Control System ◽  
Noise Control ◽  
Active Noise Control ◽  
Fir Filter ◽  
Variable Step Size ◽  
Step Size ◽  
Iir Filter ◽  
Active Noise ◽  
Lms Filter ◽  
Variable Step

FIR filter for a adaptive filter algorithm, is mostly used for an active noise control system. However, FIR filter needs to have more large size of the filter length than it of IIR filter. Therefore, the control system using FIR adaptive filter has slow calculation time. In the active noise control system of the short duct, the reference signal can be affected by the output signal, so IIR filter for ARMA system can be more suitable for the active noise control of the short duct than FIR filter for MA system. In this paper, the recursive LMS filter, which is adaptive IIR filter, is applicated for the active noise control inside the short duct. For faster convergence and more accurate control, a variable step size algorithm is introduced for this recursive LMS filter (R-VSSLMS filter). Using this algorithm and considering the secondary path, the filtered-u R-VSSLMS is conducted successfully on the real experiment in the short duct. The performance of the active control using the filtered-u R-VSSLMS filter, is compared with the performance of the active control using a filtered-x LMS filter.

scholarly journals Online secondary path modeling method with auxiliary noise power scheduling strategy for multi-channel adaptive active noise control system

2019 ◽  
Vol 38 (2) ◽  
pp. 740-752 ◽  
Author(s):  
Pu Yuxue ◽  
Shu Pengfei
Keyword(s):  
Control System ◽  
Noise Control ◽  
Active Noise Control ◽  
Variable Step Size ◽  
Noise Power ◽  
Path Modeling ◽  
Step Size ◽  
Scheduling Strategy ◽  
Active Noise ◽  
Secondary Path Modeling

Accurate model of secondary paths is very crucial for the multi-channel filtered-X least mean square algorithm applied in adaptive active noise control system. The auxiliary random noise technique is popular for online secondary path modeling during adaptive active noise control operation. This paper proposes a simplified variable step-size strategy and an effective auxiliary noise power scheduling strategy for the multi-channel filtered-X least mean square algorithm. Through a defined indirect error signal, the proposed method can guarantee every online secondary path modeling filter has its own exclusive variable step-size strategy to update their coefficients, and every injected noise has its own exclusive scheduling strategy considering all of the corresponding online secondary path modeling filters. The proposed method can improve the adaptive performance and simplifies the complexity of multi-channel adaptive active noise control system. Computer simulations show that the proposed method gives much better noise reduction and secondary path modeling accuracy at a somewhat faster convergence rate comparing with the competing methods.

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