Abstract:Active noise control systems offer a potential method of reducing the weight of acoustic treatments in vehicles and, therefore, of increasing fuel efficiency. The commercialisation of active noise control has not been widespread, however, partly due to the cost of implementation. This paper investigates the design and performance of feedback road noise control systems, which could be implemented cost-effectively by using the car audio loudspeakers as control sources and low-cost microphones as error sensors. T… Show more
“…This corresponds to a reduction in the first longitudinal enclosure mode. Other modal feedback control systems have also been proposed that may be suitable for similar road noise control problems [10,11,12]. To achieve control in vehicles where a single acoustic mode does not dominate the response, however, it has been shown to be necessary to employ a multi-input, multi-output (MIMO) controller [12].…”
Section: Introductionmentioning
confidence: 99%
“…Other modal feedback control systems have also been proposed that may be suitable for similar road noise control problems [10,11,12]. To achieve control in vehicles where a single acoustic mode does not dominate the response, however, it has been shown to be necessary to employ a multi-input, multi-output (MIMO) controller [12]. A MIMO feedback controller has been investigated in [13] which uses four headrest mounted microphones as error sensors and the four car audio loudspeakers as control sources.…”
This paper considers the active control of road noise in vehicles, using either multichannel feedback control, with both headrest and floor positioned microphones providing feedback error signals, or multichannel feedforward control, in which reference signals are provided by the microphones on the vehicle floor and error signals are provided by the microphones mounted on the headrests. The formulation of these control problems is shown to be similar if the constraints of robust stability, limited disturbance enhancement and open-loop stability are imposed. A novel formulation is presented for disturbance enhancement in multichannel systems, which limits the maximum enhancement of each individual error signal. The performance of these two systems is predicted using plant responses and disturbance signals measured in a small city car. The reduction in the sum of the squared pressure signals at the four error microphones for both systems is found to be up to 8 dB at low frequencies and 3 dB on average, where the sound level is particularly high from 80 to 180 Hz. The performance of both systems is found to be robust to measured variations in the plant responses. The enhancements in the disturbance at higher frequencies are smaller for the feedback controller than for the feedforward controller, although the performance of the feedback controller is more significantly reduced by the introduction of additional delay in the plant response.
“…This corresponds to a reduction in the first longitudinal enclosure mode. Other modal feedback control systems have also been proposed that may be suitable for similar road noise control problems [10,11,12]. To achieve control in vehicles where a single acoustic mode does not dominate the response, however, it has been shown to be necessary to employ a multi-input, multi-output (MIMO) controller [12].…”
Section: Introductionmentioning
confidence: 99%
“…Other modal feedback control systems have also been proposed that may be suitable for similar road noise control problems [10,11,12]. To achieve control in vehicles where a single acoustic mode does not dominate the response, however, it has been shown to be necessary to employ a multi-input, multi-output (MIMO) controller [12]. A MIMO feedback controller has been investigated in [13] which uses four headrest mounted microphones as error sensors and the four car audio loudspeakers as control sources.…”
This paper considers the active control of road noise in vehicles, using either multichannel feedback control, with both headrest and floor positioned microphones providing feedback error signals, or multichannel feedforward control, in which reference signals are provided by the microphones on the vehicle floor and error signals are provided by the microphones mounted on the headrests. The formulation of these control problems is shown to be similar if the constraints of robust stability, limited disturbance enhancement and open-loop stability are imposed. A novel formulation is presented for disturbance enhancement in multichannel systems, which limits the maximum enhancement of each individual error signal. The performance of these two systems is predicted using plant responses and disturbance signals measured in a small city car. The reduction in the sum of the squared pressure signals at the four error microphones for both systems is found to be up to 8 dB at low frequencies and 3 dB on average, where the sound level is particularly high from 80 to 180 Hz. The performance of both systems is found to be robust to measured variations in the plant responses. The enhancements in the disturbance at higher frequencies are smaller for the feedback controller than for the feedforward controller, although the performance of the feedback controller is more significantly reduced by the introduction of additional delay in the plant response.
“…The result of Equation (10) represents the multiple coherence between the undesired noise and the set of reference signals. As we know, a widely accepted expression to estimate the maximal noise reduction is [4,11,21], as follows:…”
Section: Formulation Of the Causal Optimal Controllermentioning
confidence: 99%
“…Belgacem et al used an active structural acoustic control technique to reduce the vibration of suspensions, and a 4.6 dB attenuation was measured in the 50-250 Hz on a quarter-car test bench [9]. Cheer and Elliott show that a multi-input multi-output system was required to have a distinct reduction for the broadband noise [10,11]. Further, Jung et al used a headrest system to reduce interior road noise around a listener's ears with remote microphone technique [12].…”
This paper investigates active broadband noise control inside vehicles with a multichannel controller. The noncausal inversion of a practical nonminimum-phase secondary path is formulated, and its influence on noise-reduction performance is analyzed. Based on multiple coherence between reference signals and undesired noise, a novel formulation for identifying primary paths with correlated excitation signals is presented and a causal optimal controller is proposed. Meanwhile, the proposed controller can be used as an accurate predictor to estimate the maximal achievable noise reduction and provide a reference to improve the control systems. The robustness of the proposed algorithm is examined by varying the uncertainty of primary paths. Finally, the performance of the proposed causal optimal controller is validated using the data measured in a car. The results show that the proposed algorithm outperforms traditional algorithms and achieves a significant broadband noise reduction in time-invariant systems.
“…This especially repels consumers away in the purchase consideration of low-and mid-end cars, where extra cost is added into the total purchasing price. A brilliant attempt to reduce the installation cost of feedback control system is proposed by incorporating it into the in-car entertainment system [Cheer and Elliott, 2013]. They developed three different kinds of feedback control systems of varying complexity and validated their performance in a commercial car.…”
The aim of this paper is to provide an overview of the existing industrial practices used for cabin noise control in various industries such as automotive, marine, aerospace, and defense. However, emphasis is placed on automobiles and armored vehicles. Generally, automobile cabins usually constitute of thin structural panels, where the fundamental frequency typically falls below 200[Formula: see text]Hz. If a specific structural mode couples with a specific acoustic mode of the cabin, booming noise occurs. As such, discomfort may be felt by the occupants. Fundamentally, vibroacoustics problems may be minimized if the acoustic modes and the structural modes are decoupled, which is achieved usually by structural modifications or acoustical treatments. However, if excessively performed, the weight limitation of an automobile design will be exceeded; not to mention the adverse effect of increased weight on several factors such as fuel efficiency, mileage life of tires and acceleration of the vehicle. Moreover, current solutions have several drawbacks in low frequency noise control. In light of this, it is of great interest to explore the feasibility of acoustic metamaterials as an alternative with hope to improve cabin noise.
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