Adaptive Fuzzy Sliding Mode Control for Compact Linear Focusing and Optical Image Stabilization Actuators

• Main Authors: Yu, Hsing-Cheng, 余興政
• Other Authors: Liu, Tzong-Shi
• Format: Others
• Language: en_US
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/81748171711553438826

博士 === 國立交通大學 === 機械工程學系 === 99 === Recently, photographers demand higher pixel resolution of image sensors and smaller dimension in both digital and mobile phone cameras. The auto–focusing (AF) and anti–shake (AS) functions have thus become interesting research topics. Both techniques can effectively prevent taking camera blurring images by means of compensating camera shakes when photographers take pictures. In this study, linear focusing actuators (LFA) for AF operation and compact optical image stabilization actuators (OISA) for AS functions have been presented. Additionally, because of assembling in restricted space of slim camera devices, voice coil actuators and floating image sensors are collocated in camera systems. They do not require special–purpose compensating lenses for AS functions but can miniaturize systems. In addition, proportional–integral–derivative, adaptive, fuzzy logic, sliding mode control algorithms have been combined to approximate the switching control to minimize chattering. Consequently, the devised adaptive fuzzy sliding mode control law applied in the designed LFA and OISA module can obtain fast dynamic performance and accurate positioning to suppress blurred images, which are caused by external camera shakes in camera systems.