An Improved Model-free Adaptive Control Algorithm With Differential Element
- Resource Type
- Conference
- Authors
- Wang, Jinbao; Zhang, Xiaohui; Ma, Xuehui; Gao, Yu-Er
- Source
- 2022 China Automation Congress (CAC) Automation Congress (CAC), 2022 China. :684-689 Nov, 2022
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Adaptation models
Estimation error
Target tracking
Automation
Process control
Numerical simulation
Numerical models
Model-Free adaptive control
Data-Drive Control
overshoot
estimation error
differential element
- Language
- ISSN
- 2688-0938
The Model-Free Adaptive Control (MFAC) of discrete nonlinear systems with unknown structures and orders is researched in this research. We propose a novel model-free adaptive control method with a differential element (DE-MFAC) to reduce the massive overshoot and mean error. We integrate the differential element into the novel MFAC control law to narrow the estimation error between the equivalent dynamical linearization model and the real system, and consequently, diminish the overshoot during the control process. We carry out numerical simulations to test our approach, where we assess the performance of our approach under varieties of parameter settings. We demonstrate that the designed approach can significantly reduce overshoot and mean error during the control compared with classical MFAC method.