Method for estimating engine crank corner and rotation speed

Abstract

This invention provides a testing method for the engine winch's rotation angle and speed, it includes taking advantage of a signal processing cell, which can calculate the winch dynamic sampling signal from the gear information sensing by the sensor of the winch's rotating angle. Taking advantage of the scatter dynamic model, it can design an estimate cell including the estimator and feedback attenuation matrix to read the dynamic sampling signal of the winch, and work toward to the estimating rotating angle and speed in the close circuit current. This invention also consists of taking advantage of the judging cell for the rotation of the winch which can assistant the signal processing cell to accurately calculate the dynamic signal of the winch, and reduce the interface from the outside and reduce the effectiveness of the engine controlling.

Description

technical field [0001] The invention provides a method for estimating the crankshaft angle and rotational speed of an engine, and in particular relates to a time-based method to process the measured crankshaft signal, and uses the pole arrangement method, solving the Riccati equation and Riccati's infinity Time domain and other methods are used to obtain the required feedback gain value matrix for closed-loop state estimation of crankshaft angle and rotational speed. The present invention also includes using a crank stroke discrimination method to assist in the calculation of the crankshaft dynamic sampling signal. Background technique [0002] Generally, it is widely used in the market and is a relatively advanced internal combustion engine (ie engine), most of which are equipped with an engine control unit (Engine Control Unit, ECU) to read the crank angle, speed, acceleration, etc. of the relevant engine basic signal. Among them, the crankshaft angle signal can provide ...

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Problems solved by technology

However, this method needs to use the engine's rotational inertia and viscosity coefficient parameters. When there is an error in this parameter, it will affect the estimation accuracy of the filter and the robustness of the system.

[0008] Furthermore, although the calculation method for obtaining the feedback gain value matrix related to pole configuration and solving the Riccati (Riccati) equation, and the method for judging the crankshaft running stroke belong to the previous mathematical operation technology that has been disclosed, it has not yet been seen in the engine crankshaft. It is applied to the closed-loop estimation of rotation angle and speed and auxiliary processing of crankshaft dynamic sampling signal, and it is presented

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