Joint structure for the real-time estimation and control of automotive dry clutch engagement
| Autor: | Mario Pisaturo, Adolfo Senatore, Arash Farnam, Mojtaba Sharifzadeh |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Hardware_MEMORYSTRUCTURES Technology and Engineering business.industry Computer science dry-clutch torque Control (management) Automotive industry 020302 automobile design & engineering 02 engineering and technology Vehicle dynamics Identification (information) Model predictive control 020901 industrial engineering & automation 0203 mechanical engineering Control theory Control and Systems Engineering Torque Clutch business TORQUE Stall (engine) recursive estimation AUTOMATED MANUAL TRANSMISSIONS |
| Zdroj: | IFAC PAPERS |
| ISSN: | 2405-8963 |
| Popis: | In this paper, real-time identification of the dry-clutch torque characteristics model in automotive systems is investigated. The proposed algorithm focused to provide the direct capability to update the clutch torque characteristics model by using engine speed and torque as measurable signals in real-time, within a multiple model predictive control loop. First, the clutch torque is estimated with some uncertainty. Then, it is proposed a new trust-region based identification approach which is robust enough to cover this uncertainty. The aim of the MPC controller is to ensure a comfortable lockup by avoiding engine stall and reasonable engagement time. The effectiveness and performance of the approach are demonstrated through the real-time model simulations in various conditions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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