Steering Model Diagnostics for Forklift Fault Detection
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Solution Overview
Problem
Current diagnostic methods for materials handling vehicles, such as forklifts, lack effective means to monitor and detect faults in steering systems under varying operating conditions, which can lead to operational inefficiencies and potential accidents.
Innovation Solution
A method utilizing a steering model-based diagnostic approach, where a steering application determines a setpoint value and a diagnostic supervisor calculates a virtual value of a control attribute, comparing it with a measured value to determine the operating condition of the steering system, and stopping the vehicle if a fault is detected, using a transfer function model and correlation analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a steering model-based diagnostic approach is implemented, then fault detection capability is improved, but device complexity increases
Solution Approach 1:
The patent creates a virtual model (copy) of the steering system that replicates its dynamic behavior. This virtual model receives the same control inputs as the physical system and generates expected output values. By comparing these virtual values with actual sensor measurements, the system can detect faults without adding complex physical monitoring hardware throughout the steering mechanism.
Solution Approach 2:
The patent replaces complex mechanical monitoring devices with a computational/mathematical model. Instead of using additional sensors, mechanical linkages, or physical monitoring mechanisms throughout the steering system, the invention uses a software-based virtual model that processes control inputs and compares predicted versus actual outputs to detect anomalies.
2Reliability
If real-time monitoring and fault detection is implemented, then operational safety is improved, but computational requirements and processing time increase
Solution Approach 1:
The steering model is pre-configured with the system's dynamic characteristics and transfer functions before operation. This preliminary setup allows the model to quickly process control inputs and generate expected outputs in real-time without requiring complex calculations during actual fault detection, thereby reducing processing time while maintaining safety.
3Measurement precision
If a virtual model with transfer function is used for diagnostics, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent uses transfer functions that describe the steering system's dynamic behavior in terms of input-output relationships. By changing the representation from physical component details to mathematical parameters (transfer functions), the system achieves precise fault detection through correlation analysis while avoiding the complexity of modeling every physical component individually.
Data Source
AI summary
A steering application executing on a vehicle control module receives a steering control input to control a steered wheel of a vehicle and, based on the steering control input, determines a setpoint value for the steered wheel. A diagnostic supervisor receives a measured value of the control attribute and the setpoint value; wherein the first diagnostic supervisor comprises a first model of a steering system of the vehicle. Based on the setpoint value and the first model, the diagnostic supervisor calculates a virtual value of the control attribute and, based on the virtual value and the measured value of the control attribute the first diagnostic supervisor determines an operating condition of the steering system of the vehicle.