Adaptive PID Control Across Nonlinear Operating Ranges

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Solution Overview

Problem

Existing control systems for nonlinear dynamic systems in motor vehicles, such as steering and traction control, require complex manual configuration for different operating states, leading to inadequate control behavior due to simplified system dependencies and high application effort.

Innovation Solution

A control system that automatically adapts control parameters based on operating ranges using a PI, PD, or PID controller, with parameters stored in a lookup table and adjusted through an optimization horizon based on control deviation analysis, ensuring optimal control behavior without manual intervention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If control parameters are manually configured for different operating states, then control behavior can be optimized for specific conditions, but the application effort and system complexity increase significantly

Engineering Contradiction:
Improvecontrol behaviorVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The control system automatically adapts control parameters by monitoring its own control behavior and detecting adaptation conditions, eliminating the need for manual configuration and making the system self-optimizing across different operating states

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system continuously monitors control behavior within an optimization horizon and uses this feedback to automatically detect when parameter adaptation is needed, creating a closed-loop self-adjusting mechanism that resolves the contradiction between optimized control and system complexity

Inventive Principle:
Principle #23Feedback

2Manufacturing precision

If control parameters are manually configured for different operating ranges, then control quality can be improved, but the time and effort required for configuration increases

Engineering Contradiction:
Improvecontrol qualityVSAvoidapplication effort
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The control system performs self-configuration by automatically detecting adaptation conditions and adapting parameters, eliminating the manual configuration process that consumes significant time and effort while maintaining high control quality

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system proactively monitors control behavior and detects adaptation conditions before control quality deteriorates, allowing parameters to be adapted in advance to maintain optimal performance without manual intervention

Inventive Principle:
Principle #10Preliminary action

3Ease of operation

If the number of control parameters and operating ranges is limited for manual configuration, then application effort is reduced, but system dependencies are approximated in simplified manner leading to inadequate control behavior

Engineering Contradiction:
Improveapplication effortVSAvoidcontrol behavior
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system dynamically adapts control parameters based on real-time monitoring of control behavior, allowing the number of pre-configured operating ranges to be minimal while still achieving accurate control across the full operating spectrum through continuous adaptation

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system automatically changes control parameters based on detected adaptation conditions, eliminating the need for extensive manual configuration of multiple operating ranges while maintaining accurate control behavior through dynamic parameter adjustment

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20250296583A1Adaptive Control System for Nonlinear Dynamic Systems
Publication Date: 2025.09.25 ROBERT BOSCH GMBH
  • US20250296583A1 patent drawing
  • US20250296583A1 patent drawing
  • US20250296583A1 patent drawing

AI summary

A method is for operating a control system for controlling a technical device of a technical system with a proportional component and at least one of a differential component and an integral component as control components. The method includes providing control parameters of a parameter set for calculating the control components depending on an operating range determined by an operating point and/or an operating state of the technical system. The method further includes controlling the technical device based on a control deviation and the control parameters. The method also includes adapting the control parameters for one or more operating ranges depending on a presence of an adaptation condition based on a control behavior within an optimization horizon associated with the adaptation condition. The optimization horizon determines a time period within which a course of the control deviation is used to adapt the control parameters.