4 results about "Fault tolerant algorithms" patented technology

This invention discloses a fault-tolerant control method for suppressing torque ripple in a dual three-phase permanent magnet motor, belonging to the field of multiphase motor control. The method includes: real-time calculation of the controller output, inverter output, and actual motor voltage; real-time calculation of voltage residuals, designing a cooperative voltage compensation form for the fundamental and harmonic planes, and generating a compensation voltage reference value; setting a voltage residual threshold, and dynamically limiting the residual within the threshold range by adjusting the compensation coefficient; and switching a fault-tolerant algorithm to complete fault-tolerant control. This invention maintains stable motor operation without waiting for fault diagnosis and location, providing a good environment for fault diagnosis. Switching to a normal decoupling fault-tolerant algorithm further suppresses torque ripple. This invention is applicable to open-circuit faults in any phase and two phases, without changing the original vector control structure, is easy to integrate, and significantly improves the overall operating performance and reliability of the system under fault transients and fault-tolerant steady states.

This application discloses an artificial intelligence-based ecological slope early warning method and system, specifically relating to the field of geological disaster monitoring and early warning technology. The system receives meteorological forecast data, obtains rainfall warning levels for a preset time period, and dynamically adjusts the sampling frequency and fault-tolerance strategy of the control module based on the meteorological warning levels. Specifically, when the rainfall warning level exceeds a preset threshold, the sampling frequency is automatically increased and an enhanced fault-tolerance algorithm is activated. Simultaneously, the fault-tolerance strategy adaptively upgrades with the warning level. For low-risk situations, simple spatial interpolation is used; for high-risk situations, an enhanced fault-tolerance algorithm constrained by geological homogeneity and even a multi-neighbor node cross-validation mechanism are automatically activated, enabling the system to possess the strongest data acquisition capability and fault-tolerance resilience during the most dangerous periods of heavy rainfall.

The application relates to an echo state network-based adaptive fault-tolerant control method for a non-strict repetitive system, which comprises the following steps: constructing a nonlinear dynamic system with an actuator fault, and setting a hypothesis condition; introducing a desired error trajectory, constructing a dynamic error equation, and defining a nonlinear function in the equation; approximating the nonlinear function by using an echo state network; proposing an adaptive iterative learning fault-tolerant algorithm, combining a barrier Lyapunov function, deducing a control input, constructing a controller, and filtering redundant batches; and constructing a barrier composite energy function to verify the stability and convergence of the designed adaptive iterative learning fault-tolerant algorithm. The nonlinear dynamic system constructed by the application can still realize effective tracking and control of the system state to the desired trajectory under the conditions that the actuator has additive or multiplicative faults, the system state is limited, and external disturbances exist.

This invention seeks protection for a consensus method for vehicle-to-everything (V2X) networks based on a two-layer blockchain, belonging to the field of V2X security technology. It includes: S1, constructing a two-layer architecture of a bottom-layer sharded chain and a top-layer main chain; S2, selecting vehicle nodes participating in the sharded chain consensus through a multi-dimensional consensus node election algorithm; S3, determining the sharded chain consensus master node using a hidden master node election mechanism; S4, completing consensus within the sharded chains using a practical Byzantine fault-tolerant algorithm; S5, the main chain adopts a directed acyclic graph consensus mechanism and introduces a dynamic verification quantity calculation model. The advantages of this invention are: (1) The multi-dimensional election algorithm selects high-quality nodes, improving consensus stability and security; (2) The layered architecture divides the V2X network into parallel consensus domains, with the bottom layer handling local consensus in parallel to reduce communication complexity, and the top layer coordinating cross-shard transactions to improve scalability; (3) The dynamic verification quantity calculation model adaptively adjusts the verification quantity according to network load, significantly improving system throughput.