An adaptive PID learning controller which consists of an adaptive PID feedback control scheme and a feedforward input learning scheme is proposed for learning of periodic robot motion. In the learning controller, the adaptive PID feedback controller takes part in stabilizing the transient response o
On the PID tracking control of robot manipulators
β Scribed by Ilse Cervantes; Jose Alvarez-Ramirez
- Book ID
- 104300308
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 220 KB
- Volume
- 42
- Category
- Article
- ISSN
- 0167-6911
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β¦ Synopsis
We consider the problem of PID tracking control of robotics manipulators. Our objective is to prove that under classical PID control, semiglobal stability can be assured with arbitrary small output tracking error. This means that, for any given set of initial conditions Wx, there exist PID control gains such that all trajectories starting in Wx converge to a residual set of arbitrary size. A novel PID control conΓΏguration is developed in terms of a parameter that is directly related with the size of the region of attraction and the size of the residual set. Tuning guidelines are extracted from the stability analysis.
π SIMILAR VOLUMES
A simple and effective method for trajectory tracking of robotic manipulator is proposed. The first step is to employ a neural network to learn the characteristics of the inverse dynamics of the robotic manipulator in an off-line manner. Then the neural network is placed in series with the robotic m
The tracking problem is considered for robot manipulators. We propose a state feedback control algorithm which guarantees arbitrary attenuation on the outputs (the joint positions) of the effects of unknown timevarying disturbances as well as of parameter uncertainties.