Name
Title | ||
|---|---|---|
Two Degrees of Freedom in the Control of a DC-DC Boost Converter, Fuzzy Identified Explicit Model in Feed-forward Line |
Abstract | ||
|---|---|---|
We present a novel approach to the fuzzy control of a DC-DC Boost Converter. Using heuristic partitioning of the main control parameters and focusing on global knowledge of the open-loop, stable system's equilibriums, the new method is developed based on an offline fuzzy identification of the steadystate duty cycle. The explicit and the fuzzy identified global model of the duty cycle robustly contribute to the system's stability, even in the presence of large changes to the process parameters. In comparison with the analytically derived duty cycle using two different methods, the identified model prediction of an infinity horizon duty cycle shows better precision. These results are achieved in an analysis of the converter's hybrid-simulation model where the assumptions made in the mathematical modelling are minor in comparison with similar assumptions in physical examples. The steady-state error compensation relies on the optimized PI controller, which is independently constructed and involved in the final Two-Degreesof-Freedom (TDOF) controller. The successful simulation results agree with the robustness and present a DC-DC converter with stable operation, even in the dynamic exchange of the DCM (Discontinuous Conduction Mode) and CCM (Continuous Conduction Mode). The method is widely applicable as it minimizes the real time of processing and avoids over-determined solutions. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s10846-015-0215-1 | Journal of Intelligent and Robotic Systems |
Keywords | Field | DocType |
DC-DC boost converter,Hybrid modelling,Fuzzy identification,Robust control of nonlinear dynamical system,Explicit Fuzzy Model Predictive Control (EFMPC),Two Degrees of Freedom (TDOF) | Boost converter,Control theory,PID controller,Control theory,Duty cycle,Fuzzy logic,Control engineering,Robustness (computer science),Engineering,Fuzzy control system,Feed forward | Journal |
Volume | Issue | ISSN |
82 | 3-4 | 0921-0296 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| robert baždaric | 1 | 0 | 0.34 |
| Igor Skrjanc | 2 | 354 | 52.47 |
| Drago Matko | 3 | 285 | 30.55 |
| BaždarićRobert | 4 | 0 | 0.34 |