A low finenesse Fabry-Perot interferometric displacement sensor has been developed and tested. With using a high stability He-Ne laser and perfect signal processing circuits, noise level of 0. 01nm equivalent to refle...A low finenesse Fabry-Perot interferometric displacement sensor has been developed and tested. With using a high stability He-Ne laser and perfect signal processing circuits, noise level of 0. 01nm equivalent to reflector displacement was obtained in a bandwidth of 0-1 kHz.展开更多
This paper demonstrates the assembly of a servo-controlled platform with two degrees of freedom, empirical methods and a developed closed-loop control found in the system mathematical model. This control aims to stabi...This paper demonstrates the assembly of a servo-controlled platform with two degrees of freedom, empirical methods and a developed closed-loop control found in the system mathematical model. This control aims to stabilize and hold small objects on the platform. We parsed the step response in X and Y axes, hence we found the first and second-order models for each one. We did some further analyses to decide which one would better represent the behavior of the system. The MATLAB software provided step response for the model empirically obtained and latter compared it to experimental data acquired in the trials. Accelerometers and gyro sensors from the MPU-6050 sensor measured the angular position of platform on X and Y axes. In order to improve measurements accuracy and eliminate noise effects, we implemented the complementary filter to the firmware system. We used Arduino to control servomotors through PWM pulses and perform data acquisition.展开更多
文摘A low finenesse Fabry-Perot interferometric displacement sensor has been developed and tested. With using a high stability He-Ne laser and perfect signal processing circuits, noise level of 0. 01nm equivalent to reflector displacement was obtained in a bandwidth of 0-1 kHz.
文摘This paper demonstrates the assembly of a servo-controlled platform with two degrees of freedom, empirical methods and a developed closed-loop control found in the system mathematical model. This control aims to stabilize and hold small objects on the platform. We parsed the step response in X and Y axes, hence we found the first and second-order models for each one. We did some further analyses to decide which one would better represent the behavior of the system. The MATLAB software provided step response for the model empirically obtained and latter compared it to experimental data acquired in the trials. Accelerometers and gyro sensors from the MPU-6050 sensor measured the angular position of platform on X and Y axes. In order to improve measurements accuracy and eliminate noise effects, we implemented the complementary filter to the firmware system. We used Arduino to control servomotors through PWM pulses and perform data acquisition.
