Beam Brake Control Method Using Finite Element and State Space Models
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Solution Overview
Problem
Existing control methods for beam brakes in drainage systems are inefficient due to non-linearity and low dynamics, leading to oscillations and incomplete utilization of braking work, with limitations in preventing wheel climbing and maintaining safety reserves, resulting in reduced performance and increased costs.
Innovation Solution
A control method using a finite element method to model transverse forces and a state space model to optimize actuation dynamics, allowing for precise calculation of the manipulated variable to achieve target exit speeds while minimizing oscillations and ensuring safe operation, including predictive modeling and adaptive control to prevent wheel climbing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a PID controller is used for beam brake control, then the control system is simple to implement, but the controlled system exhibits oscillations and cannot achieve optimal braking performance due to nonlinearity
Solution Approach 1:
The patent transforms the control approach by changing the parameter representation from direct force control to energy-based control. The Hamiltonian function represents the total energy of the system, and by controlling energy dissipation rather than applying direct braking force, the nonlinear oscillations are suppressed while maintaining control effectiveness. This parameter transformation resolves the contradiction between simple control structure and stable braking performance.
2Reliability
If safety reserves are maintained in beam brake operation, then wheel climbing is prevented, but the braking work is not fully utilized and performance is reduced
Solution Approach 1:
The patent implements continuous feedback monitoring of wheel-rail contact forces and axle position during braking. By measuring the actual lateral forces and comparing them against dynamically calculated safety thresholds, the system can maintain maximum braking force without exceeding the wheel climbing limit. This real-time feedback enables full utilization of braking work while ensuring safety, resolving the contradiction between reliability and productivity.
Solution Approach 2:
The safety thresholds for preventing wheel climbing are made dynamic rather than static. The maximum permissible lateral force is continuously adjusted based on current braking conditions, axle positions, and process parameters. This dynamic adaptation allows the system to operate at the optimal boundary of safety limits, maximizing braking work utilization while preventing wheel climbing throughout the braking process.
3Stability of the object's composition
If the manipulated variable curve oscillates during braking, then the linear PID controller maintains stability through low dynamics, but the braking precision and response speed are limited
Solution Approach 1:
The patent replaces the mechanical control system with an energy-based control system. Instead of using a mechanical PID controller that reacts to speed errors, the system uses Hamiltonian mechanics to calculate the optimal energy dissipation trajectory. This substitution enables faster response speeds while maintaining stability, as the energy-based approach directly addresses the system's dynamic characteristics without the oscillations inherent in linear feedback control.
Data Source
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AI summary
A control method for operating a beam brake (BLK) that acts on the wheels (RD) of a shunting system (AAL), where a manipulated variable is determined for the shunt to generate an actuating force for the beam brake. In a static analysis, the lateral forces acting on the wheels in the brake beams of the beam brake are calculated using a finite element method as a function of an actuating force acting on the brake beams by at least one actuator. In a dynamic analysis, a state-space model is calculated. An optimum is calculated for the time-dependent behavior of the manipulated variable, taking into account the model for the beam brake and the state-space model, and using the target run-out speed of the shunt from the beam brake as a first boundary condition.Taking into account the found optimum for the time course of the manipulated variable, control signals are output for the beam brake.