Controller Parameterization Under Safety and State Constraints
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Solution Overview
Problem
Current methods for calibrating controllers, especially for autonomous driving functions, rely on manual parameter settings that require extensive expert knowledge and are time-consuming and costly. These methods lack a standardized, systematic approach to optimization, often requiring post-hoc validation through complex simulations and test drives.
Innovation Solution
A method for calculating the parameterization of a controller for a technical system, which involves determining the controller's characteristics, defining an objective function based on safety and performance requirements, formulating an optimization problem, and calculating the controller's parameterization using various optimization methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual parameter settings are used for controller calibration, then expert knowledge can be applied to tune controller performance, but the process becomes time-consuming and costly with no prior guarantees of meeting safety and performance standards
Solution Approach 1:
The patent applies preliminary action by formulating an optimization problem that incorporates safety and performance requirements before actual controller calibration. The method defines an objective function and constraints that encode safety standards and performance criteria, allowing the controller parameters to be optimized in advance with guaranteed compliance, eliminating the need for time-consuming post-hoc validation through simulations and test drives.
2Manufacturing precision
If traditional parameterization methods are implemented step by step on the actual system, then practical control performance can be verified, but costs and effort increase significantly
Solution Approach 1:
The patent replaces the mechanical step-by-step implementation approach with a mathematical optimization framework. Instead of manually adjusting parameters through iterative physical testing, the method uses an optimization algorithm that solves for controller parameters directly by evaluating an objective function subject to safety and performance constraints, thereby reducing both costs and process complexity while maintaining parameter precision.
3Reliability
If manual recalibration is performed by experienced experts when initial calibration fails to meet requirements, then performance can be improved, but resource expenditure increases
Solution Approach 1:
The patent implements self-service by enabling the controller calibration process to automatically satisfy its own safety and performance requirements through the optimization framework. The method formulates constraints that encode the requirements and uses an optimization algorithm to find parameters that inherently meet these constraints, eliminating the need for repeated manual recalibration by experts and significantly improving calibration efficiency.
4Measurement precision
If post-hoc validation through complex simulations and test drives is conducted, then compliance with safety and performance standards can be proven, but time and resources are consumed
Solution Approach 1:
The patent eliminates post-hoc validation by performing preliminary action through the optimization framework that incorporates safety and performance standards as constraints. The controller parameters are optimized in advance to guarantee compliance with these standards, making subsequent validation through simulations and test drives unnecessary and thereby eliminating the associated time consumption.
Data Source
AI summary
A method for calculating a parameterization of a controller for a technical system. The method includes: determining a characteristic of the controller, wherein the characteristic includes at least a description of a structure of the controller and at least one differential equation to represent a dynamic behavior of the technical system; defining an objective function which is based on at least one requirement for a safety characteristic and/or for a performance characteristic of the controller and/or of the technical system; formulating an optimization problem, wherein the optimization problem is formulated on the basis of the objective function and at least one additional condition, wherein the at least one additional condition ensures at least one restriction of at least one state of the technical system; calculating the parameterization of the controller based on the determined optimization problem.