This paper addresses the challenging problem of cooperative fault-tolerant formation tracking for multi-UAV systems subject to actuator faults, critical state constraints, and lumped uncertainties. Utilizing a backstepping framework, the strategy employs Radial Basis Function neural networks(RBFNNs) for online approximation of uncertainties and uses Universal Barrier Lyapunov Functions(UBLF) to enforce full-state constraints, ensuring operation within physical limits. Theoretical analysis shows that the closed-loop signals are Semi-Globally Uniformly Ultimately Bounded(SGUUB). Simulation results validate that the proposed controller achieves high-precision formation tracking while respecting all critical safety constraints, even in the presence of severe actuator faults.