Abstract: Based on a nonlinear state predictor (NSP) and a strong tracking filter (STF), a sensor
fault tolerant generic model control (FTGMC) approach for a class of nonlinear time-delay
processes is proposed. First, the NSP is introduced, and it is used to extend the
conventional generic model control (GMC) to nonlinear processes with large input time-
delay. Then the STF is adopted to estimate process states and sensor bias, the estimated
sensor bias is used to drive a fault detection logic. When a sensor fault is detected, the
estimated process states by the STF will be used to construct the process output to form a
"soft sensor", which is then used by the NSP (instead of the real outputs) to provide state
predictors. These procedures constitute an active fault tolerant control scheme. Finally,
simulation results of a three-tank-system demonstrate the effectiveness of the proposed
approach.

Key words: fault tolerant control, time-delay, nonlinear processes, nonlinear state predictor, strong tracking filter

摘要： Based on a nonlinear state predictor (NSP) and a strong tracking filter (STF), a sensor
fault tolerant generic model control (FTGMC) approach for a class of nonlinear time-delay
processes is proposed. First, the NSP is introduced, and it is used to extend the
conventional generic model control (GMC) to nonlinear processes with large input time-
delay. Then the STF is adopted to estimate process states and sensor bias, the estimated
sensor bias is used to drive a fault detection logic. When a sensor fault is detected, the
estimated process states by the STF will be used to construct the process output to form a
"soft sensor", which is then used by the NSP (instead of the real outputs) to provide state
predictors. These procedures constitute an active fault tolerant control scheme. Finally,
simulation results of a three-tank-system demonstrate the effectiveness of the proposed
approach.

关键词: fault tolerant control;time-delay;nonlinear processes;nonlinear state predictor;strong tracking filter