Anti-interference fuzzy prediction control method based on linear matrix inequality
By introducing an anti-interference fuzzy prediction control method based on linear matrix inequality in the cleaning robot system, combined with TS fuzzy control, the stable operation and robustness of the cleaning robot in various working states is solved, and more efficient cleaning operations are achieved.
CN119644729AInactive Publication Date: 2025-03-18ZHEJIANG UNIV OF TECH +1
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Patent Information
- Application Number
- CN202411737149.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-29
- Publication Date
- 2025-03-18
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Technical Problem
Cleaning robots need to adapt to multiple working states in the small spaces of the farm, but the prior art is difficult to effectively solve this problem, especially in the presence of noise interference.
Method used
The anti-interference fuzzy prediction control method based on linear matrix inequality is adopted, combined with TS fuzzy control, and the stable operation and robustness of the cleaning robot in various working states is achieved by designing a fuzzy controller and optimizing performance indicators.
Benefits of technology
The cleaning robot is realized to adapt to a variety of different working states and keep the system stable, and has the robustness in the presence of noise disturbance, which improves the working efficiency of the cleaning robot.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses an anti-interference fuzzy prediction control method based on a linear matrix inequality. The method comprises the following steps: 1) establishing a system state equation of a cleaning robot with noise; 2) designing a fuzzy controller according to a T-S fuzzy method; 3) converting an anti-interference fuzzy prediction control problem into a solution minimization problem; and 4) solving a minimization problem based on a linear matrix inequality method. According to the invention, the model is reasonable and has certain robustness in switching control of various states; according to the method, the cleaning robot can adapt to various different working states, the system is kept stable, meanwhile, the robustness of the system can be kept under the condition that noise disturbance exists, and the working efficiency of the cleaning robot is improved.
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