State Space Model Assembly for Modular Mechatronic Motion Control

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Solution Overview

Problem

Conventional mechatronic systems require laborious and costly re-engineering when upgraded or extended, necessitating extensive software changes, including third-party licensed software that cannot be modified by the operator, leading to dependencies and inefficiencies.

Innovation Solution

A method for assembling a state space model system that is tool-independent and platform-independent, allowing for real-time simulation and control of mechatronic system components without the need for re-engineering, by specifying input and output parameters, determining initial state space models, optimizing them for linear regions, and assembling these models into a scalable and accurate simulation tool.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional commercial software is used for modeling and simulation, then high-fidelity models can be created, but re-engineering becomes laborious and costly when the system is upgraded or extended

Engineering Contradiction:

Improvemodel fidelityVSAvoidre-engineering effort

Core Design Contradiction:

Measurement precisionVSEase of manufacture

Solution Approach 1:

The system is divided into modular functional blocks that can be independently developed, simulated, and integrated. Each block represents a separable unit of the mechatronic system that can be upgraded without re-engineering the entire system, thus reducing re-engineering effort while maintaining model fidelity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The simulation environment is designed to be universally applicable across different mechatronic system configurations. The same simulation framework can model various systems and components, making it adaptable to upgrades and extensions without requiring specialized commercial software for each specific case.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Measurement precision

If third-party licensed software is used, then professional simulation capabilities are available, but dependencies are created that cannot be modified by the operator

Engineering Contradiction:

Improvesimulation accuracyVSAvoidsoftware modifiability

Core Design Contradiction:

Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system provides self-service simulation capabilities through an open-source framework that operators can independently configure, modify, and execute without requiring third-party software licenses. The operator can directly edit model parameters, add custom components, and adapt the simulation to specific needs without external dependencies.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Instead of relying on commercial software to provide simulation capabilities, the approach inverts the dependency by using open-source tools that the operator controls. The operator becomes the provider of simulation functionality rather than a passive user of licensed software, enabling full modifiability while maintaining simulation accuracy.

Inventive Principle:

Principle #13The other way round (Inversion)

3Adaptability or versatility

If extensive software changes are made for system upgrades, then system capabilities can be improved, but time and resources are consumed

Engineering Contradiction:

Improvesystem upgrade capabilityVSAvoidre-engineering time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system is designed with pre-configured modular components and standardized interfaces that anticipate future upgrade needs. Functional blocks are prepared in advance with defined connection points and parameters, allowing rapid integration of new components during system upgrades without extensive re-engineering time.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The simulation framework employs dynamic configuration capabilities where system parameters, components, and connections can be modified in real-time without recompiling or re-engineering. This dynamic adaptability allows system upgrades to be implemented by simply changing configuration files or parameter values, dramatically reducing the time required for system evolution.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20240354464A1Methods, devices and computer-readable mediums for mechatronic system controlling

Publication Date: 2024.10.24 SIEMENS HEALTHINEERS AG

AI summary

A computer implemented method of assembling a state space model system for controlling a movement of a component of a mechatronic system comprises specifying a set of input parameters and a set of output parameters for an initial set of state space models, which is determined by mapping multiple sets of values of the specified set of input parameters to multiple associated sets of values of the specified set of output parameters. The determined initial set of state space models is optimized by identifying approximately linear regions, which comprise regions in a parameter space of the initial set of state space models, and selecting one state space model per approximately linear region. The parameter space comprises the input parameters and the output parameters. The selected state space models are assembled for obtaining the state space model system.