Design and Non-Linearity Optimization of a Vertical Brushless Electric Power Steering Angle Sensor

Area of Science:

• Electrical Engineering
• Electromagnetics
• Sensor Technology

Background:

• Non-contact angle sensing is crucial in various industrial applications.
• Existing electromagnetic induction sensors often face challenges with non-linearity and signal interference.
• Optimizing sensor design is key to improving accuracy and reliability.

Purpose of the Study:

• To design and optimize a new vertical non-contact angle sensor based on electromagnetic induction.
• To minimize the non-linearity of the sensor for enhanced accuracy.
• To validate the sensor's performance through experimental testing.

Main Methods:

• The sensor utilizes a stator with excitation and receiver coils and a rotor with metal sheets.
• Differential principle and CLARK transformation were employed for signal processing and linearization.
• Plackett-Burman technique and particle swarm optimization were used to minimize non-linearity.

Main Results:

• The designed sensor achieved a non-linearity of only 0.648% (clockwise) and 0.645% (counterclockwise).
• Sensor non-linearity remained below -0.696% even at varying operational speeds.
• Experimental validation confirmed the effectiveness of the optimization techniques.

Conclusions:

• The novel vertical non-contact angle sensor demonstrates high accuracy and minimal non-linearity.
• The applied optimization methods effectively addressed sensor linearity challenges.
• This sensor design offers a promising solution for precise angle measurement applications.