Active control method and system for noise in tank cab
An active control, cab technology, applied in the field of ships and ships, to solve the time delay, ensure the accuracy, improve the convergence speed and learning accuracy.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2017-09-29
Smart Images

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Abstract
Description
technical field
[0001] The invention relates to noise control technology in the field of ships and ships, in particular to a method and system for actively controlling noise in a cab of a tank. Background technique
[0002] Modern warfare pays more and more attention to the maneuverability of tanks. In the process of tank development, the engine power of tanks needs to be continuously improved. With the increase of engine power, the noise in the tank cabin is also increasing. The noise in the cabin seriously affects the working ability and physical and mental health of the tank crew, affecting the combat effectiveness of the troops.
[0003] For the mechanical noise of the power system such as the engine and the transmission box, the noise generated by the interaction between the track and the ground, and the noise formed by the vibration of the vehicle body caused by the engine working, etc., are mostly concentrated in the low-to-medium frequency range. Traditional noise c...
Examples
Embodiment 1
[0029] This embodiment provides a method for actively controlling noise in a tank cab. see figure 1 Shown is a specific embodiment of the active control method for noise in the cab of a tank in this application, and the steps in this embodiment include:
[0030] Step S1-1: The reference microphone collects noise x[n] of multiple main noise sources, and inputs it as a reference signal;
[0031] Step S1-2: The error microphone collects the residual noise e[n] after noise control, and inputs it as an error signal;
[0032] Step S2: The fuzzy controller receives the reference input signal x[n]=x[n], the error input signal e[n], and the adaptive filtering RBF (Filter-x Radial Basis Function, hereinafter referred to as FX-RBF) based on the fuzzy neural network ) net training algorithm analyzes the reference signal and the error signal, and outputs an inverted target sound signal y[n] to the loudspeaker; and
[0033] Step S3: The loudspeaker emits the target sound signal y[n] for ...
Embodiment 2
[0052] In order to make the description of the present invention clearer and more detailed, and to facilitate technical personnel to understand, the present embodiment provides an active noise control system in the cab of a tank, see Figure 5 Shown is the specific schematic diagram of the noise active control system in the tank cab of the present application.
[0053] An active noise control system in a tank cab, comprising:
[0054] The reference microphone is coupled with the fuzzy controller and is used to collect noise x[n] of multiple main noise sources as a reference signal input;
[0055] The error microphone, coupled with the fuzzy controller, is used to collect the residual noise e[n] after noise control, and input it as an error signal;
[0056] Fuzzy controller, coupled with reference microphone, speed sensor, error microphone and loudspeaker, used to receive reference input signal x[n]=x[n], error input signal e[n], adaptive FX based on fuzzy neural network -The...