Multiple Fusion Based on the CCD and MEMS Accelerometer for the Low-Cost Multi-Loop Optoelectronic System Control.

Area of Science:

• Control Systems Engineering
• Optical Engineering
• Sensor Fusion

Background:

• Low-cost optoelectronic control systems (OCS) using charge-coupled devices (CCD) and micro-electro-mechanical system (MEMS) accelerometers suffer from insufficient disturbance suppression (DS) at low frequencies due to accelerometer drift and noise.
• Traditional acceleration and position dual-loop control (ADLC) with disturbance observers (DOB) and virtual velocity loops offer suboptimal performance, limited by inaccurate low-frequency disturbance observation and CCD delays in fused velocity signals.

Purpose of the Study:

• To develop an improved method for signal fusion in OCS to enhance disturbance suppression, particularly at low and medium frequencies.
• To overcome the limitations of existing DOBs and velocity estimation techniques by leveraging the complementary strengths of CCDs and accelerometers.

Main Methods:

• A modified complementary filter method is proposed for dual signal fusion of CCD and accelerometer data to obtain accurate low-frequency acceleration and low-delay velocity signals.
• A new acceleration model is created using the drift-free, low-noise, but lower-bandwidth fused acceleration for a fusion DOB (FDOB).
• An additional velocity loop is constructed using the low-delay fused velocity signal.

Main Results:

• The proposed dual-fusion approach yields an acceleration signal with no drift and reduced noise, suitable for the FDOB.
• The fused velocity signal exhibits minimal delay, enabling the construction of an effective additional velocity loop.
• Experimental results demonstrate that the multiple fusion method significantly enhances system disturbance suppression, especially in the low and medium frequency ranges, outperforming traditional DOBs with time-domain fusion.

Conclusions:

• The proposed dual-fusion signal processing technique effectively addresses the limitations of conventional methods in low-cost OCS.
• This approach provides superior disturbance suppression at critical low and medium frequencies, leading to more robust and stable system performance.
• The study validates the benefits of intelligently fusing sensor data with complementary characteristics for advanced control system applications.