Observer-Based Adaptive Integral Control for Multi-motor Drive Systems
- Resource Type
- Authors
- Xuemei Ren; Shuangyi Hu
- Source
- 2020 39th Chinese Control Conference (CCC).
- Subject
- Coupling
0209 industrial biotechnology
Observer (quantum physics)
Artificial neural network
Computer science
02 engineering and technology
Synchronization
Vibration
Nonlinear system
Motor drive
020901 industrial engineering & automation
Control theory
Integrator
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
- Language
This paper deals with the problem of unknown system state and the effect of steady-state error for multi-motor drive systems. Due to the existence of unknown nonlinearity, a robust observer with neural network is proposed to estimate the system state. To improve the steady-state performance, the integrator is introduced in the controller design to eliminate the steady-state error and get rid of the vibration. Based on mean relative coupling structure and dynamic surface control, a synchronization control method and tracking control scheme are proposed with integrator. The effectiveness of designed control methods is illustrated by simulation results.