Sensor placement optimization with fault diagnosable constraint and its application in spacecraft attitude control system

The sensor placement optimization problem with fault diagnosable constraint is investigated in this paper. First, in order to diagnose actuators' faults in the spacecraft attitude control system, a fault — measuring point correlation matrix model is established based on the directed graph model. Then, through constructing optimal index in terms of placement cost of measuring point under the fault diagnosable constraint, a sensor placement optimization algorithm is proposed by using modified discrete binary particle swarm method. Finally, to validate the effectiveness of the proposed algorithm, a typical sensor placement optimization problem for momentum wheel fault detection and isolation is carried out, results show that the proposed algorithm can quickly obtain the global optimal solution.