Abstract
For the forklift equipped with electrical sensors, a fault tolerant control (FTC) strategy is proposed. First, considering the uncertainty of forklift cargo and the external output disturbance, the equivalent sensor fault model of forklift is constructed. Then, a sliding mode observer (SMO) with adaptive regulation law is proposed to solve the problem that some fault reconstruction methods demand the upper bound of faults. Based on the fault value reconstructed by SMO, a sliding mode fault-tolerant controller is designed. It can realize active FTC of typical sensor faults of forklift in the presence of uncertainties and output disturbance. Finally, experiment is given to verify the effectiveness of the proposed FTC strategy.
Highlights
With the rapid development of forklift, a growing number of electronic components have been adopted
There is an urgent demand for fault-tolerant control (FTC) strategy to ensure the reliable operation of modern vehicles in the presence of sensor faults
In [6], an approach of active fault-tolerant control based on signal reconfiguration is proposed for the fault of missile attitude control systems caused by failed inertial sensors
Summary
With the rapid development of forklift, a growing number of electronic components have been adopted. Wang Y.Y. et al present a fault-tolerant tracking control strategy for Takagi–Sugeno fuzzy model-based nonlinear systems. It combines integral sliding mode control with adaptive control technique and has been applied to the dynamic positioning control of unmanned marine vehicles [12]. A FTC method is proposed to cope with the key sensor faults of forklift. It can be divided into two parts. One is the SMO with adaptive regulation law which reconstructs the fault value of sensors
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