Electromagnetic Transport Trajectory Planning for Lower Peak Motion Loads

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Solution Overview

Problem

Existing electromagnetic transport systems face inefficiencies in energy consumption, wear, and collision risks due to unsustainable movement planning that prioritizes maximum acceleration and speed, leading to energy waste and increased wear.

Innovation Solution

A method for determining and selecting a target trajectory with the smallest maximum value for movement quantities such as speed, acceleration, or jerk, ensuring reduced energy consumption, wear, and collision avoidance by comparing trajectories at a planning time point.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If maximum acceleration and speed are prioritized in movement planning, then productivity is improved, but energy consumption increases and wear increases

Engineering Contradiction:
Improvetransport efficiencyVSAvoidenergy consumption
Core Design Contradiction:
ProductivityVSUse of energy by moving object

Solution Approach 1:

The patent applies parameter changes by dynamically adjusting movement parameters (acceleration, speed, trajectory) based on real-time system state. The control system evaluates multiple trajectory options and selects the optimal one that balances productivity requirements with energy consumption constraints, thereby resolving the contradiction between maintaining high transport efficiency and reducing energy usage.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If maximum acceleration and speed are prioritized in movement planning, then productivity is improved, but wear increases

Engineering Contradiction:
Improvetransport efficiencyVSAvoidcomponent wear
Core Design Contradiction:
ProductivityVSStrength

Solution Approach 1:

The patent dynamically changes movement parameters including acceleration profiles, speed limits, and trajectory selections to minimize wear on mechanical components. By evaluating multiple trajectory options and selecting those with smoother acceleration patterns and lower peak speeds, the system maintains productivity while reducing stress and wear on drivetrain components, bearings, and mechanical linkages.

Inventive Principle:
Principle #35Parameter changes

3Productivity

If aggressive movement planning is used, then productivity is improved, but collision risk increases

Engineering Contradiction:
Improvetransport efficiencyVSAvoidcollision avoidance
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent implements feedback mechanisms by continuously monitoring the positions, speeds, and accelerations of multiple movers in real-time. The control system uses this feedback to dynamically adjust trajectories and movement parameters, ensuring safe separation distances are maintained while optimizing transport efficiency. This real-time feedback loop enables the system to prevent collisions even when operating at high productivity levels.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent applies dynamics by making the movement plan adaptive rather than static. The system continuously evaluates the current system state and dynamically adjusts trajectories, speeds, and acceleration profiles for each mover. This dynamic approach allows the system to respond to changing conditions and maintain collision-free operation while maximizing transport efficiency.

Inventive Principle:
Principle #15Dynamics

4Productivity

If frequent acceleration and braking occur, then productivity is improved, but thermal load increases

Engineering Contradiction:
Improvetransport efficiencyVSAvoidthermal load
Core Design Contradiction:
ProductivityVSTemperature

Solution Approach 1:

The patent reduces thermal load by optimizing movement parameters to minimize the frequency and magnitude of acceleration and braking events. The control system selects trajectories that maintain more constant speeds and use smoother acceleration/deceleration profiles, thereby reducing energy losses that convert to heat in motors, drive systems, and mechanical components, while still meeting productivity requirements.

Inventive Principle:
Principle #35Parameter changes

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach reduces energy consumption, wear, and thermal load while minimizing collisions, achieving more sustainable and efficient movement planning in electromagnetic transport systems.

Implementation Method 1

By controlling the drive coils, a moving magnetic field ('magnetic drive field') can be generated, which interacts with the drive magnets of the movers to move the movers

Methodology Applied
Scientific EffectElectromagnetic induction: Electromagnetic Induction

Implementation Method 2

drive coils are controlled in particular by means of control units provided for this purpose, which output firing pulses to semiconductor switches, such as, in particular, IGBT modules, in order to apply corresponding coil voltages to the drive coils to generate drive currents in the coils to generate said magnetic drive field

Methodology Applied
Scientific EffectLorentz force: Lorentz Force

Data Source

PatentUS20260111042A1Sustainable movement planning for an electromagnetic transport system
Publication Date: 2026.04.23 ABB (SCHWEIZ) AG
  • US20260111042A1 patent drawing
  • US20260111042A1 patent drawing
  • US20260111042A1 patent drawing

AI summary

In order to provide a method for sustainably operating an electromagnetic transport system to move at least one mover, a first maximum value of a first trajectory for at least one movement quantity of the mover is determined. Additionally, a second maximum value of a second trajectory for said at least one movement quantity of the mover is determined. The first trajectory is selected as a target trajectory if the first maximum value is equal to or smaller than the second maximum value. The second trajectory is selected as a target trajectory, if the second maximum value is smaller than the first maximum value. The mover is moved in accordance with said target trajectory.