Model predictive control calculation method and device of suspension system
By filtering the calculation results of existing models, simplifying constraint sets and constructing quadratic planning problems, the problem of improving the resolution speed of MPC and the application difficulties of embedded systems in the existing technology is solved, and more efficient solution speed and the applicability of embedded systems are achieved.
CN119689861AActive Publication Date: 2025-03-25TSINGHUA UNIVERSITY
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Patent Information
- Application Number
- CN202411821789.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-11
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2044-12-11
AI Technical Summary
Technical Problem
When the prior art improves the solution speed of model prediction control (MPC), it ignores the role of historical data solving, which makes it difficult to further improve the calculation speed of MPC and is difficult to apply to embedded systems.
Method used
By screening the existing model prediction control calculation results of the target suspension system, simplified constraint sets are calculated, and simplified quadratic planning problems are constructed to obtain the optimization solution results of the mathematical model and determine the actual control quantity.
Benefits of technology
Without changing the optimal solution, the solution calculation speed of model prediction control is effectively improved, and this method is suitable for embedded systems.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention relates to the technical field of suspension control, in particular to a model prediction control calculation method and device for a suspension system, and the method comprises the steps: selecting at least one group of existing model prediction control calculation results according to the state observation information of a target suspension system and a mathematical model of the target suspension system; calculating a simplified constraint set of model predictive control of the mathematical model by using at least one group of existing model predictive control calculation results and state observation information, and constructing a simplified quadratic programming problem based on the simplified constraint set and the mathematical model; and solving the simplified quadratic programming problem to obtain an optimal solution result of the mathematical model, and determining an actual control quantity of the target suspension system according to the optimal solution result of the mathematical model. According to the method and the device, the redundancy constraint can be deleted through the existing online trajectory calculation result or the partial solution of the offline calculation model prediction control, so that the solution calculation speed of the model prediction control is effectively improved under the condition that the optimal solution is not changed.
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