Weighted multirate q-Markov Cover identification using PRBS – an application to engine systems
The q-Markov COVariance Equivalent Realization (q-Markov Cover) method for identification uses either pulse, white noise or PRBS (Pseudo-Random Binary Signal) as test excitation. This paper extended the q-Markov Cover using PRBS to the weighted multirate case, that is, the sample rate of the PRBS si...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2000-01-01
|
| Series: | Mathematical Problems in Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1155/S1024123X00001332 |
| Summary: | The q-Markov COVariance Equivalent Realization (q-Markov Cover) method for identification uses either pulse, white noise or PRBS (Pseudo-Random Binary Signal) as test excitation. This paper extended the q-Markov Cover using PRBS to the weighted multirate case, that is, the sample rate of the PRBS signal is different from the system output one. Then, the multirate PRBS q-Markov Cover is applied to identify a diesel
engine model from the fuel command input to the engine speed output. The identified
engine model has order of two and approximates the pure fuel system time delay using
a first-order transfer function with a non-minimum phase numerator. Finally, the identified engine model was successfully used for designing engine idle speed governor and obtained satisfactory performance in the first try. |
|---|---|
| ISSN: | 1024-123X 1563-5147 |