Car active noise reduction method based on heuristic dynamic programming

The invention discloses a car active noise reduction method based on heuristic dynamic programming, and belongs to the field of active noise reduction methods of noise in car rooms. According to the car active noise reduction method, massive data in a large database of noise information in a virtual environment of a cloud server are initiatively fitted, the rule of noise frequency spectrum characteristics in the database is looked for through a model network and an execution network trained by heuristic dynamic programming, the noise data with the similar frequency spectrum characteristics arefitted together, an off-line expert library having the less data size and reduced and generated from a huge database is established, so that optimization of the noise data is achieved, and the optimal control quantity is provided for a system. According to the innovative mode, the method can overcome the drawback that an existing car active noise reduction method needs to conduct one-by-one real-time operation on the massive data, and through practical testing, the method can fully meet requirements of noise reduction of an actual traffic car under a real road condition, so that the car active noise reduction method has great market prospect and potential economic value.