Study on MSMA Self-Sensing Actuator Based on DSP

Magnetically controlled shape memory alloy (MSMA) is a new type of functional material, a self-sensing actuator is developed by using its reversible characteristic in this paper. Using the finite element analysis software Ansoft Maxwell to simulate the core magnetic circuit, a reasonable structure of MSMA self-sensing actuator is designed, and an experimental platform is built to study the vibration control effect of the self-sensing actuator. Using TMS320F28335 DSP as the core processor of signal processing and excitation control of the self-sensing actuator, least mean square (LMS) adaptive filtering algorithm is used to process the sensing signal containing interference noise, and the real induced voltage signal is obtained. Finally, the effectiveness of the MSMA self-sensing actuator in vibration control is verified by experiments.