Decision control method and system for power assisting motor in electric power steering system

Abstract

The invention relates to a decision control method for a power assisting motor in an electric power steering system. The decision control method particularly comprises the following steps: 1, calculating an ideal value of a turn angle of the power assisting motor by a power assisting motor turn angle reference module; 2, calculating a power assisting motor turn angle deviation value e by a deviation value calculation module; 3, judging whether e is 0 or not, if so, ending, and otherwise, carrying out the step 4; 4, adjusting the control quantity U according to the turn angle deviation value e and controlling the power assisting motor to rotate according to the control quantity U by a turn angle tracking controller; and 5, controlling the turn angle of the power assisting motor according to the control quantity U decided by the turn angle tracking controller by the power assisting motor, sending an actual turn angle value theta as to the deviation value calculation module, and going to the step 2. According to the decision control method, the bad influence of the system noise and the mechanical vibration which cannot be removed, on the steering feel caused by a reason that the electromechanical parameters of the electric power steering system cannot be randomly selected can be effectively made up for so as to obtain the best steering feel.

Description

technical field [0001] The invention relates to a control and decision-making method and system of a booster motor in an electric power steering system. Background technique [0002] At present, in order to improve the driver's torque burden and obtain a good steering feel, the electric power steering system is used as an auxiliary power device. Domestic and foreign studies have found that the selection of electromechanical parameters of the electric steering system has a great influence on the steering feel. In order to obtain a good steering feel, based on the optimization theory, the electromechanical parameters of the electric power steering system, such as the stiffness of the torque sensor, the moment of inertia of the power assist motor, and the reduction ratio of the transmission mechanism connected to the power assist motor, were optimized and selected, which effectively improved the performance of the steering system. Steering feel. [0003] However, due to the l...

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Problems solved by technology

[0003] However, due to the limitation of the standardization and serialization of the specified dimensions of the machining tool, this makes it impossible to truly select the best value for the electromechanical parameters of the electric steering system.

Therefore, limited by factors such as machining technology, the selection of electromechanical parameters of the electric power steering system based on optimization theory can only improve the steering feel of the steering system, but cannot obtain the best steering feel.

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