Research On Key Technology Of Control And Signal Detection Circuit Of Bionic Hair Sensor

Bionic sensors are designed by imitating the physiological structure of organisms.Natural organisms usually have some physiological structures with excellent sensor properties.Hair structure is one of the typical structures.Bionic hair sensor can measure many physical quantities,including velocity,inertial physical quantities(acceleration,angular velocity),temperature,vibration and so on.It can realize many functions,such as velocity control,motion control,thermal control,environmental recognition,and can be applied in many situations.Bionic hair sensor is a sensor with great potential for development.In this paper,a bionic air flow sensor is introduced.The bionic hair sensor designed by our research group is taken as the research object.In order to improve the detection performance of the sensor,some key technologies of the sensor control and signal detection circuit are deeply analyzed and studied.The research work of this paper can be summarized as follows:Firstly,on the basis of the structure and basic principle of bionic hair sensor,the dynamic characteristics of the sensor are analyzed.The measuring and controlling principle of peripheral circuit,the measuring principle of flow velocity and the measuring principle of micro-flow velocity of simple harmonic oscillation flow are elaborated in detail.In order to realize the measurement of plane biaxial velocity and improve the detection performance,a four-sensor rotating array model is discussed and designed.The mechanism of measuring weak harmonic oscillating signal under strong DC air flow interference is analyzed.A four-sensor parallel array model and a hardware high-pass filter side-line system are designed.Secondly,a control system based on bionic hair sensor array is designed.The design of digital phase-locked loop and amplitude loop are described in detail.The control system is simulated in M ATLAB.The specific circuit implementation method of the proposed control system scheme is described in detail.Then,the demodulation algorithm and circuit implementation are studied.The orthogonal coherent demodulation algorithm and the Least M ean Square error demodulation(LM SD)algorithm are studied respectively.LM SD algorithm is implemented in the FPGA,and the feasibility of the demodulation algorithm is proved in the subsequent experiments.The algorithm of array signal processing and direction estimation is studied.The maximum likelihood estimation method is used to estimate the direction and size of the input signal.The algorithm is implemented in the FPGA.The feasibility of the algorithm is proved in the subsequent experiments.Finally,the printed circuit board is made,the hardware description language is compiled,and the circuit board is debugged.The main performance indicators of the sensor array are tested.The control system,demodulation algorithm and signal estimation algorithm designed in this paper are tested.The correctness and practicability of the sensor control and signal detection circuit described in this paper are verified,and the expected purpose is achieved.