Adaptive robust precision motion control of linear motors with negligible electrical dynamics: theory and experiments

By Li Xu, Bin Yao. Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334), 2001

321 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4001b0dfebb9558cb356850e628e882cc5283d12

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jianyong Yao
2. Zongxia Jiao
3. Jing Na
4. Dawei Ma
5. Xuemei Ren
6. Qiang Chen
7. Yu Guo
8. Tianyou Chai

Citations in the corpus

• Neural-Network-Based Terminal Sliding-Mode Control of Robotic Manipulators Including Actuator Dynamics (2009, methodology): “SMC has been widely used in many applications [1]–[4], such as robots, aircrafts, motors, and so on.”
• Accurate Motion Control of Linear Motors With Adaptive Robust Compensation of Nonlinear Electromagnetic Field Effect (2013, methodology): “As in [11], a nonlinear robust feed-back gain of the following form is used for v s .”
• Adaptive Prescribed Performance Motion Control of Servo Mechanisms with Friction Compensation (2014, background): “Xu et al. and Hu et al. proposed and experimentally validated the adaptive robust control (ARC) [13], [14] for precise motion control of servo systems with various dynamics (e.g., friction, force ripple, and dead zone).”
• Adaptive Robust Control of DC Motors With Extended State Observer (2014, methodology): “Proof: Following the proof procedure in [22] and [24], it is easy to ensure that the results in Theorem 1 are true.”