Force ripple compensation of the directly-driven linear motors via iterative tuning feed-forward controller.
Jianhua WuChao LiuYongJiang LiuZhenhua XiongHan DingPublished in: J. Syst. Control. Eng. (2019)
Keyphrases
- activation function
- feed forward
- back propagation
- neural network
- hidden layer
- neural nets
- artificial neural networks
- position control
- feed forward neural networks
- robotic manipulator
- control system
- direct drive
- impedance control
- biologically plausible
- dc motor
- force control
- visual cortex
- control method
- pid controller
- control scheme
- permanent magnet
- recurrent neural networks
- fuzzy controller
- spiking neural networks
- contact force
- real time
- gauss seidel
- error back propagation
- control strategy
- recurrent networks
- control algorithm
- feedback loop
- learning rules