摘要
为提高视力检查的精确性和灵活性,设计了视力检查距离控制系统对检查距离进行有效控制,并建立了数学模型。针对该系统的非线性、时变性和多干扰性,提出基于卡尔曼滤波器的小脑神经网络与比例—积分—微分复合控制(CMAC-PID)方法,利用卡尔曼滤波器抑制测量噪声和控制干扰的影响。仿真结果表明,此控制方法在抗干扰方面优于CMAC-PID控制,可以更好地改善距离控制系统的性能。
To improve the accuracy and flexibility of visual acuity, a visual acuity distance control system was designed to control the acuity distance effectively, and a mathematic model was established. Conceming the nonlinear quality, time variability and more interference of the system, Cerebellar Model Articulation Controller combined with Proportion-lntegration- Differentiation （CMAC-PID） control method based on Kalman filter was proposed, and Kalman filter was used to suppress measurement noise and control interference. As shown in the simulation results, this control method is more favorable than CMAC-PID in anti-interference, and the performance of distance control system is improved.
出处
《计算机应用》
CSCD
北大核心
2011年第9期2589-2592,共4页
journal of Computer Applications
关键词
卡尔曼滤波器
小脑神经网络与比例-积分-微分复合控制
视力检查距离控制系统
抗干扰
Kalman filter
Cerebellar Model Articulation Controller combined with Proportion-Integration-Differentiation （CMAC-PID） control
visual acuity distance control system
anti-interference
