Abstract
A novel interval type-2 fuzzy controller architecture is proposed for resolving nonlinear control problems of vehicle active suspension systems. It integrates Takagi-Sugeno (T-S) fuzzy model, interval type-2 fuzzy reasoning, the Wu-Mendel uncertainty bounds method, and selected optimization algorithms in order to construct the switching routes between generated linear model control surfaces. The stability analysis of the proposed approach is presented. The proposed method is implemented into a numerical example and a case study on a nonlinear half-vehicle active suspension system. The simulation results demonstrate the effectiveness and efficiency of the proposed approach.
| Original language | English |
|---|---|
| Title of host publication | Handbook of Vehicle Suspension Control Systems |
| Publisher | Institution of Engineering and Technology |
| Pages | 99-123 |
| Number of pages | 25 |
| ISBN (Electronic) | 9781849196345 |
| ISBN (Print) | 9781849196338 |
| DOIs | |
| State | Published - 1 Jan 2013 |
| Externally published | Yes |
Keywords
- Fuzzy control
- Fuzzy reasoning Wu-Mendel uncertainty bounds method
- Generated linear model control surfaces
- Interval type-2 fuzzy controller architecture
- Interval type-2 fuzzy reasoning
- Nonlinear control problems
- Nonlinear control systems
- Nonlinear half-vehicle active suspension system
- Optimisation
- Optimization algorithms
- Road vehicles
- Stability
- Stability analysis
- Suspensions (mechanical components)
- Switching routes
- T-S fuzzy model
- Takagi-Sugeno model
- Uncertainty handling
- Vehicle active suspension systems
Fingerprint
Dive into the research topics of 'An interval type-2 fuzzy controller for vehicle active suspension systems'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver