Vehicle Steering Control System Non-Interference Design
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Solution Overview
Problem
Existing control systems that manage multiple control quantities face challenges in achieving non-interference control due to mutual interference, particularly in complex systems like vehicle steering control, where it is difficult to detect and adjust for disturbances in real time, leading to time-consuming trial-and-error adjustments.
Innovation Solution
A control system comprising feedback controllers and a non-interference controller that designates combinations of inputs and outputs to apply non-interference control, reducing mutual interference by calculating operation quantities based on target and current values, and using PID control to adjust inputs and outputs effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If non-interference control is implemented to reduce mutual interference between control quantities, then control precision is improved, but the complexity of calculating transfer functions and adjusting actuators increases significantly
Solution Approach 1:
The patent segments the control system into multiple independent SISO (single-input single-output) control loops, each handling a specific combination of input and output. By designating specific pairings (e.g., first input with first output, second input with second output), the complex MIMO non-interference control problem is divided into simpler, manageable segments that can be controlled independently, reducing calculation complexity while maintaining control precision.
2Reliability
If trial-and-error adjustment of actuators is performed to achieve non-interference control, then control performance is improved, but the time and man hours required increase significantly
Solution Approach 1:
The patent designates specific combinations of inputs and outputs in advance before actual control operation begins. This preliminary designation of control pairings establishes a predetermined control structure that eliminates the need for time-consuming trial-and-error adjustments during system operation or commissioning, thereby improving reliability while reducing the time and manual effort required for setup.
3Measurement precision
If all combinations of inputs and outputs are considered for non-interference control, then control accuracy is improved, but the number of combinations to consider becomes unmanageably large
Solution Approach 1:
The patent extracts and designates only the essential or critical combinations of input-output pairs that need to be controlled, rather than considering all possible combinations. This selective extraction of important control relationships reduces the number of combinations from potentially n×m possibilities to a manageable subset, maintaining control accuracy for the most important variables while reducing overall system complexity.
Data Source
AI summary
A control system calculates inputs to a control target that has m inputs and n outputs (m=n, each of m and n is a natural number that is more than one), while designating a plurality of combinations of the inputs and the outputs. A feedback controller calculates, with respect to each designated combination, a control input to a non-interference controller based on a difference between a target value and a current value of the control quantity to make the current value follow the target value. The non-interference controller executes, with respect to each designated combination, a non-interference control to reduce influence due to mutual interference between n control quantities. This reduces the number of combinations of the inputs and the outputs, the combinations whose mutual interference needs considering; thereby, the non-interference control may be easily achieved.