In a paper by Tran and Southward (2002, J. Dyn. Syst., Meas., Control, 124(1), pp. 35–40), a virtual sensing method for tonal active noise and vibration control systems is proposed. The aim of the proposed method is to obtain accurate estimates of the virtual outputs of the dynamic system under consideration. For this purpose, a hybrid adaptive feedforward observer is designed based on an observable state-space representation of the dynamic system. In this paper, it is shown that if the number of physical sensors used in the proposed method is less than the state-space system order, the observer can converge to infinitely many solutions for which the state reconstruction errors are not equal to zero. Since accurate state estimates are required to obtain accurate estimates of the virtual sensor outputs, the suggested hybrid adaptive feedforward observer is only suitable for rejecting nonstationary disturbances at the physical sensor outputs, and not for virtual sensing purposes.
Skip Nav Destination
e-mail: cornelis.petersen@adelaide.edu.au
Article navigation
July 2007
Technical Briefs
Comment on “A Virtual Sensing Method for Tonal ANVC Systems” [C. M. Tran and S. C. Southward, 2002, J. Dyn. Syst., Meas., Control 124(1), 35–40]
Cornelis D. Petersen,
Cornelis D. Petersen
Active Noise and Vibration Control Group, School of Mechanical Engineering,
e-mail: cornelis.petersen@adelaide.edu.au
The University of Adelaide
, South Australia, 5005
Search for other works by this author on:
Rohin Wood,
Rohin Wood
Active Noise and Vibration Control Group, School of Mechanical Engineering,
The University of Adelaide
, South Australia, 5005
Search for other works by this author on:
Ben S. Cazzolato,
Ben S. Cazzolato
Active Noise and Vibration Control Group, School of Mechanical Engineering,
The University of Adelaide
, South Australia, 5005
Search for other works by this author on:
Anthony C. Zander
Anthony C. Zander
Active Noise and Vibration Control Group, School of Mechanical Engineering,
The University of Adelaide
, South Australia, 5005
Search for other works by this author on:
Cornelis D. Petersen
Active Noise and Vibration Control Group, School of Mechanical Engineering,
The University of Adelaide
, South Australia, 5005e-mail: cornelis.petersen@adelaide.edu.au
Rohin Wood
Active Noise and Vibration Control Group, School of Mechanical Engineering,
The University of Adelaide
, South Australia, 5005
Ben S. Cazzolato
Active Noise and Vibration Control Group, School of Mechanical Engineering,
The University of Adelaide
, South Australia, 5005
Anthony C. Zander
Active Noise and Vibration Control Group, School of Mechanical Engineering,
The University of Adelaide
, South Australia, 5005J. Dyn. Sys., Meas., Control. Jul 2007, 129(4): 556-558 (3 pages)
Published Online: March 15, 2007
Article history
Received:
October 23, 2005
Revised:
March 15, 2007
Connected Content
This is a correction to:
A Virtual Sensing Method for Tonal ANVC Systems
Citation
Petersen, C. D., Wood, R., Cazzolato, B. S., and Zander, A. C. (March 15, 2007). "Comment on “A Virtual Sensing Method for Tonal ANVC Systems” [C. M. Tran and S. C. Southward, 2002, J. Dyn. Syst., Meas., Control 124(1), 35–40]." ASME. J. Dyn. Sys., Meas., Control. July 2007; 129(4): 556–558. https://doi.org/10.1115/1.2745885
Download citation file:
35
Views
Get Email Alerts
Cited By
An Adaptive Sliding-Mode Observer-Based Fuzzy Proportional Integral Control Method for Temperature Control of Laser Soldering Process
J. Dyn. Sys., Meas., Control (July 2025)
Modeling and Experimental Validation of Flow Ripple in a Variable Displacement Linkage Pump
J. Dyn. Sys., Meas., Control (July 2025)
Parametrized Maximal Admissible Sets With Application to Constraint Management of Systems With Slowly Varying Parameters
J. Dyn. Sys., Meas., Control (July 2025)
An Integrated Sensor Fault Estimation and Fault-Tolerant Control Design Approach for Continuous-Time Switched Systems
J. Dyn. Sys., Meas., Control (July 2025)
Related Articles
A Virtual Sensing Method for Tonal ANVC Systems
J. Dyn. Sys., Meas., Control (March,2002)
Active Noise Hybrid Feedforward/Feedback Control Using Neural Network Compensation
J. Vib. Acoust (January,2002)
Direct Hybrid Adaptive Control of Gear Pair Vibration
J. Dyn. Sys., Meas., Control (December,2003)
Multi-Channel Adaptive Feedforward Control of Noise in an Acoustic Duct
J. Dyn. Sys., Meas., Control (June,2004)
Related Proceedings Papers
Related Chapters
Adaptive Control and Stability Analysis of Genetic Networks with SUM Regulation
Intelligent Engineering Systems through Artificial Neural Networks, Volume 16
Dynamic Positioning of Ships Using Direct Model Reference Adaptive Control
Intelligent Engineering Systems through Artificial Neural Networks Volume 18
Computation of Gradient and Hessian in Feed-Forward Neural Networks: A Variational Approach
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17