MATHEMATICAL MODELS OF GEAR TOOTH SPEED SENSORS WITH DUAL OUTPUTS

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MATHEMATICAL MODELS OF GEAR TOOTH SPEED SENSORS WITH DUAL OUTPUTS Ji-Gou Liu 1 and Zhe Zheng 2 1 ChenYang Technologies GmbH & Co. KG., Finsing, Germany 2 University of Shanghai for Science and Technology, Shanghai, P.R. China Abstract In this paper mathematical models are proposed for calculating rotational speed, signal period, duty cycle and phase drift of gear tooth speed sensors with dual outputs. The proposed mathematical models are applied to parameter determination/optimization and target wheel design of Hall Effect gear tooth sensors and measuring systems. Experiment results show that the mathematical models are very useful and effective for the design and development of rotational speed sensors and measuring systems. Keywords: Rotational Speed Sensor, Gear Tooth Sensor, Rotational Speed Measurement. 1. INTRODUCTION Rotational speed sensors and measurements are widely used in industrial automation, production lines, intelligent robots, wind power stations, and automotive industry for testing, controlling and monitoring engines, motors, generators, spindles of different rotating machines. There are a lot of rotational speed measuring methods. The most widely used methods are rotational impulse counting methods using proximity switches, encoders and gear tooth sensors [1-10]. Inductive, capacitive, optoelectronic and Hall Effect proximity switches output one impulse per revolution. Therefore they have a high frequency range, but a lower resolution. The rotational direction is not easy to be detected by using the proximity switches. Inductive, capacitive, optical and magnetic encoders consist of a special target wheel (coding disk, grating disk, multi-pole magnet and magnetic grating etc.) and a detector. These encoders have a relative high resolution. Their disadvantages are expensive, small frequency range. An additional detector built-in the encoders is needed for detecting the rotational direction. Gear tooth sensors work also according to inductive, capacitive, Hall Effect and magnetoresistive principles. These sensors use a metal gear as target wheel so that they are very easy and cheap for industrial applications. Furthermore, gear tooth sensors have large measuring range, wide frequency bandwidth, simple structure, and adaptability of harsh environments. Therefore they find increasing applications in industries. However, fundamental study of gear tooth speed sensors with dual outputs is still not complete until now. In this paper mathematical models are described for calculating the parameters of gear tooth speed sensors and measuring systems. The sensors have dual outputs for both speed measurement and rotational direction detection. The proposed mathematical models are applied to Hall Effect gear tooth sensor CYGTS104U [3]. Experiment results show that the mathematical models are very useful and effective for the parameter determination/optimization, design and development of rotational speed measuring systems. 2. MATHEMATICAL MODELS As shown in Fig. 1, a gear tooth rotational speed measuring system consists of a gear tooth sensor (GTS) and a target wheel. Two detectors positioned in distance, a, are built in the gear tooth sensor with dual outputs. The detectors sense the addendum of the target wheel according to different physical principles, for instance inductive, capacitive, Hall Effect or magnetoresistive principles. Fig.1. Gear tooth rotational speed measuring system The gear tooth sensor generates two impulse outputs with a phase drift, Ф, when the detectors face to the addendum of the target wheel. By counting the

number of impulses of one output, n, within a measuring time, t, the rotational speed, w, can be determined by with N as the number of teeth of the target wheel. The time period, T, and frequency, f, of impulse is written by The rotational speed direction of the target wheel can be detected by the phase drift, Φ, see Fig. 2. Fig.2. Rotational speed direction detection of target wheel by using phase drift Φ for 0< Φ <180. The phase drift, Φ, between the two electrical outputs depends on the distance vector of the two detectors, a, the outer diameter of the target wheel, D, the sensing distance between the detectors and the addendum of the target wheel, b, and the number of teeth, N. It can be calculated by: