Predicted Value Shaping for Accurate Control Output Alignment
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Solution Overview
Problem
Existing predicted value shaping systems in control systems are not optimized for individual controlled objects, leading to inaccuracies in output due to prediction errors, as they do not account for the specific parameters of the controlled object.
Innovation Solution
A predicted value shaping system that corrects predicted values using the parameters of the control model of the controlled object, specifically reducing the influence of previous prediction errors by applying a customized algorithm to calculate a control value that aligns the system's output with the target value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a general predicted value shaping algorithm is used without considering controlled object parameters, then the system complexity is reduced and ease of operation is improved, but the manufacturing precision and reliability of control value calculations deteriorate due to prediction errors
Solution Approach 1:
The patent applies parameter changes by incorporating controlled object parameters (such as system dynamics characteristics, time constants, and gain values) into the predicted value shaping algorithm. This transforms a general-purpose algorithm into a customized one that adapts to specific controlled objects, thereby improving precision while maintaining operational simplicity through automated parameter integration.
Solution Approach 2:
The patent implements preliminary action by pre-acquiring and storing controlled object parameters before executing the predicted value shaping process. These parameters are prepared in advance and integrated into the algorithm to compensate for prediction errors, ensuring high precision control without adding operational complexity during actual control execution.
2Manufacturing precision
If a customized predicted value shaping algorithm considering controlled object parameters is implemented, then the precision of control value calculations is improved, but the device complexity increases
Solution Approach 1:
The patent applies self-service by enabling the predicted value shaping system to automatically acquire, process, and integrate controlled object parameters without requiring manual configuration or complex external systems. The algorithm self-adapts to the controlled object characteristics, reducing device complexity while maintaining high precision through automated parameter utilization.
3Device complexity
If prediction errors are not corrected, then the ease of operation is maintained and device complexity is reduced, but the reliability of the control system deteriorates due to output differences between actual and ideal outputs
Solution Approach 1:
The patent implements feedback by using the controlled object parameters to calculate correction amounts that compensate for prediction errors. The predicted value shaping algorithm continuously adjusts the control values based on these parameters, creating a feedback mechanism that improves reliability without significantly increasing device complexity through straightforward computational corrections.
Data Source
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AI summary
A predicted value shaping system is provided for calculating a highly accurate control value (close to a target value) by shaping of a predicted value. A prediction governor (20) for calculating a control value (v) for controlling a controlled object (12) includes: a result value acquisition unit (22) that acquires a previous target value of the controlled object (12), that is, a result value (r(t - 1)); a predicted value acquisition unit (21) that acquires a predicted value (r^(t)) obtained by predicting the target value of the controlled object (12); and a control value calculation unit (23) that calculates a control value (v(t)) for controlling the controlled object (12) by applying the result value (r(t - 1)) and the predicted value (r^(t)) to a predicted value shaping algorithm (G) to correct the predicted value (r^(t)). The predicted value shaping algorithm (G) uses parameters of a control model (P) of the controlled object (12).