Adaptive Feedforward Control for Surgical System Responsiveness
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Solution Overview
Problem
Complex surgical systems require efficient control algorithms to manage multiple interacting components and environmental changes, but existing methods often struggle with responsiveness and accuracy in achieving desired performance parameters.
Innovation Solution
A computer-implemented method using a feedforward table to control surgical system components by subdividing the operating range into set points, creating and updating feedforward terms based on system performance, and dynamically adjusting controller outputs to maintain desired set points, even in the presence of changes such as temperature fluctuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional feedback control is used to manage surgical system components, then system stability is maintained, but responsiveness and accuracy in achieving desired performance parameters deteriorate
Solution Approach 1:
The feedforward control mechanism pre-calculates and stores optimal controller outputs for various set points in a feedforward table before they are needed. When a set point is received, the system immediately retrieves the pre-computed feedforward term, eliminating the delay inherent in traditional feedback control that must wait for error detection and correction cycles.
Solution Approach 2:
The system employs adaptive feedforward control that uses feedback from steady state error measurements to continuously update and refine the feedforward table. The controller monitors actual system performance against desired set points, calculates steady state errors, and uses this feedback information to optimize future feedforward terms, thereby improving both responsiveness and accuracy over time.
2Adaptability or versatility
If the feedforward table is continuously updated with new terms, then adaptability to environmental changes improves, but system complexity increases
Solution Approach 1:
The control system automatically monitors its own performance by calculating steady state errors and self-updates the feedforward table with optimized terms. This self-service mechanism eliminates the need for manual intervention or complex external configuration systems, allowing the system to adapt to environmental changes autonomously while maintaining manageable complexity through automated routine operations.
Solution Approach 2:
The feedforward table is designed as a dynamic structure that evolves over time based on system performance. The system transitions from static pre-programmed control to dynamic adaptive control where the feedforward terms are continuously refined based on actual operating conditions, allowing the system to adapt to environmental changes such as temperature fluctuations while maintaining operational simplicity.
3Measurement precision
If feedforward terms are stored for all possible set points, then control accuracy improves, but memory requirements and processing overhead increase
Solution Approach 1:
The continuous operating range of the surgical system is divided into discrete set point regions, with feedforward terms stored only at specific representative points within each region. This segmentation approach allows the system to achieve high control accuracy at key operating points while avoiding the need to store feedforward terms for every possible set point value, thereby reducing memory requirements and processing overhead.
Solution Approach 2:
The system stores feedforward terms for a selective subset of critical set points rather than attempting to cover the entire operating range with exhaustive precision. This partial action approach focuses computational resources on the most important operating conditions, achieving sufficient control accuracy for practical surgical applications without the excessive memory and processing demands of complete coverage.
Data Source
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AI summary
In some embodiments, a method of using feedforward to control a system component may include determining if a feedforward term exists in a feedforward table for a received operating set point. If a feedforward term does not exist, the system component may be incremented until the system to within a first acceptable tolerance of the desired set point. In some embodiments, a measure of steady state error may be determined and compared to a second acceptable tolerance. If within the acceptable tolerance, the corresponding feedforward term may be recorded in the feedforward table. In some embodiments, if the feedforward term exists for the operating set point, the system component may be controlled using controller output that corresponds to the feedforward term. When a change to the system is detected that is associated with possible changes to the feedforward values, new feedforward values may be generated for the feedforward table.