Filtering algorithm for ripple detection of vehicle window controller

Abstract

The invention discloses a filtering algorithm for ripple detection of a vehicle window controller. The filtering algorithm comprises the following steps: step 1, ripple sampling; 2, setting parameters; step 3, formulating rules; step 4, initializing a filter; step 5, waveform judgment; step 6, waveform rising; step 7, waveform declining; step 8, interference judgment; ripple data are sampled in real time through the single-chip microcomputer MCU, meanwhile, the collected ripple data are subjected to filtering calculation in a segmented mode, the ripple period and the ripple amplitude are output to the anti-pinch controller in real time, the anti-pinch performance of the car window is improved, the speed of the segmented calculation method is high, the filtering efficiency is greatly improved, and the anti-pinch performance of the car window is improved. Filtering results are continuously output in real time in the whole process of vehicle window movement, the last S pieces of data of each set of sampling data are reserved during filtering to serve as filtering initial data of the next set, smooth connection of the filtering data between two adjacent time periods is guaranteed, and interference noise introduced by segmented calculation can be eliminated.

Description

technical field [0001] The invention relates to the technical field of automobile window control, in particular to a filtering algorithm for ripple detection of a window controller. Background technique [0002] The up and down control of the window is generally driven by a ripple motor and a Hall motor. The performance of the Hall motor is stable, and the up and down control of the window is precise. However, the high manufacturing cost of the Hall motor greatly increases the cost of the window. The ripple motor is relatively The price is low, but the ripple quality generated by the ripple motor is not ideal, and there are more interference noises, which leads to inaccurate determination of the position of the window, greatly reducing the stability of the window, and the anti-pinch control has always been a ripple effect. The difficulty of wave motor windows, ripple filtering is the basis of the entire ripple anti-pinch, so the quality of the ripple filter algorithm is dire...

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Problems solved by technology

[0002] The up and down control of the window is generally driven by a ripple motor and a Hall motor. The performance of the Hall motor is stable, and the up and down control of the window is precise. However, the high manufacturing cost of the Hall motor greatly increases the cost of the window. The ripple motor is relatively The price is low, but the ripple quality generated by the ripple motor is not ideal, and there are more interference noises, which leads to inaccurate determination of the position of the window, greatly reducing the stability of the window, and the anti-pinch control has always been a ripple effect. The difficulty of the wave motor window, the ripple filter is the basis of the entire ripple anti-pinch, so the quality of the ripple filter algorithm is directly related to the quality of the window anti-pinch performance

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