Control System State Limiter Smooth Modulation
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Solution Overview
Problem
Existing control systems with state limiters face difficulties in analyzing nonlinearities and require extensive design and test iterations, leading to high costs and ad-hoc engineering solutions that do not guarantee stability or performance, as they introduce sharp changes when predefined limits are exceeded.
Innovation Solution
A control system that gradually modifies system dynamics by calculating a modulation parameter based on actual and limited system dynamics, allowing for smooth and predictable limiter functionality near user-specified limits, ensuring stability margins and compatibility with linear analysis techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sharp changes are introduced to control characteristics when limits are exceeded, then state limits are prevented from being exceeded, but nonlinearities are introduced that make analysis difficult or invalid
Solution Approach 1:
The state limiter dynamically adjusts the modulation parameter continuously as system states approach limits, rather than applying fixed sharp changes. This dynamic adjustment maintains reliability by preventing limit violations while managing nonlinearity through continuous, smooth transitions based on real-time system state feedback.
Solution Approach 2:
The invention changes the modulation parameter gradually as system states approach predefined limits, rather than applying abrupt changes. This parameter transformation approach maintains state limit prevention while reducing the severity of nonlinearities by using continuous, smooth transitions in the control characteristics.
2Reliability
If extensive design and test iterations are performed for each application, then state limiter effectiveness is improved, but development costs and time increase significantly
Solution Approach 1:
The state limiter uses a universal modulation parameter approach that can be applied across different applications with similar control systems. By defining a general framework that calculates modulation parameters based on system states approaching limits, the invention reduces the need for extensive application-specific design and test iterations while maintaining effectiveness.
Solution Approach 2:
The state limiter continuously monitors system states and adjusts the modulation parameter based on feedback from the controlled device. This feedback mechanism ensures effectiveness by automatically adapting to different operating conditions without requiring extensive manual design and testing for each specific application scenario.
3Ease of manufacture
If ad-hoc engineering solutions are used for state limiting, then implementation is simplified, but stability and performance guarantees are not provided
Solution Approach 1:
The invention replaces ad-hoc engineering approaches with a systematic, calculation-based method for determining modulation parameters. By using defined relationships between system states and modulation parameters, the solution provides both ease of implementation through a clear methodology and reliability through guaranteed stability and performance bounds.
Data Source
AI summary
A method for operating a controlled device. A feedback signal is received from a controlled device, the feedback signal indicating actual system dynamics of the controlled device. A predefined limit is applied to the actual system dynamics to create limited system dynamics. A modulation parameter is calculated by a processor based at least in part on the limited system dynamics and the actual system dynamics. Desired system dynamics for the controlled device are generated by the processor based at least in part on the modulation parameter and an external command.