A New Fault Toletant Nonlinear Model Predictive Controller based on an Adaptive Extended Kalman Filter
This paper presents a new Fault Tolerant Nonlinear Model Predictive Controller (FTNMPC). The proposed controller utilizes a Fault Detection and Identification (FDI) scheme based on a novel adaptive extended Kalman filter (EKF) technique. For this purpose a Multi Sensor Data Fusion (MSDF) methodology is incorporated to enhance the estimation accuracy and reliability. A series of illustrative sensor test scenarios has been organized in a Continuous Stirred Tank Reactor (CSTR) benchmark process, which is a typical nonlinear process case study, to comparatively assess the resulting performances of the proposed FTNMPC against typical sensor faults consisting of calibration biases and excessivevariance noises.
Fault Tolerant Control System (FTCS) NMPC FDI Adaptive Extended Kalman Filter (AEKF) MSDF
Karim Salahshoor Shabnam Salehi Vahid Mohammadnia
Department of Automation and Instrumentation Petroleum University of Technology Tehran, Iran
国际会议
The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)
沈阳
英文
593-597
2010-03-27（万方平台首次上网日期，不代表论文的发表时间）