원문정보
초록
영어
A compound control method of sliding-model variable structure and fractional order PIλDμ(SMC-FOPID) is proposed based on such factors as strong nonlinearity, time-varying parameters, disturbance, time delay, as well as the rapidity of a working clutch system in the process of automated manual transmission (AMT) clutch control. The self-tuning of the composite weight coefficient is realized by the fuzzy inference algorithm with single input and output. The coordinated control of the SMC-FOPID is realized through the real-time adjustment of the composite weight coefficient. The control performances of proportional-integral-derivative (PID), fractional order PIλDμ (FOPID), sliding-model variable structure control (SMC), and SMC-FOPID were compared based on the performance index integral of time multiplied by absolute value of error (ITAE) to study the position tracking of an AMT clutch in the working process. The simulation result showed that the SMC-FOPID control method had higher synthetic control performance compared with the PID, FOPID, and SMC control methods. The feasibility and superiority of the position tracking of an AMT clutch with an SMC-FOPID controller were verified.
목차
1. Introduction
2. Mathematical Modeling of the Clutch System
2.1. Clutch structure and transmission relationship
2.2. Relationship between the separating force of clutch and the displacement of release bearing
2.3. Model of clutch system
3. Design of Controller
3.1. Controller of sliding-mode variable structure
3.2. FOPID controller
3.3. Composite weight coefficient
4. Simulation and Analysis of Results
4.1. Comparative analysis of step signal of position
4.2. Comparative analysis of robustness in case of the change of load
4.3. Comparative analysis of robustness in case of the changes of the parameters of system structure
4.4. Comparative analysis of the position tracking when vehicle starting
5. Conclusion
References