
This paper mainly discusses an adaptive fuzzy sliding mode control problem for a microgyroscope system via a global fast terminal sliding mode approach. The fabrication imperfections, the time varying system parameters, and the external disturbances are taken into consideration synchronously, and the corresponding dynamic model is established. A global fast terminal sliding mode control scheme is designed to guarantee that the system can reach the sliding surface and converge to equilibrium point in a shorter finite time from any initial state surface. Furthermore, an adaptive fuzzy control is introduced to approximate the model uncertainties and external disturbances. The chattering caused by the sliding mode control is weakened as well. Both the stability analysis and the tracking performance of the gyroscope system are proved by the Lyapunov stability theory. The effectiveness of the invoked control schemes for microgyroscope system is illustrated through the simulation results.
Microgyroscopes, adaptive fuzzy control, Electrical engineering. Electronics. Nuclear engineering, global fast terminal sliding mode control, TK1-9971
Microgyroscopes, adaptive fuzzy control, Electrical engineering. Electronics. Nuclear engineering, global fast terminal sliding mode control, TK1-9971
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 15 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
