Iterative Feedback Tuning of Model-Free Controllers

2021 ◽  
Author(s):  
Andrei Baciu ◽  
Corneliu Lazar ◽  
Constantin-Florin Caruntu
Keyword(s):  
Model Free ◽  
Iterative Feedback

scholarly journals Iterative feedback tuning of wind turbine controllers

2017 ◽  
Vol 2 (1) ◽  
pp. 153-173 ◽  
Author(s):  
Edwin van Solingen ◽  
Sebastiaan Paul Mulders ◽  
Jan-Willem van Wingerden
Keyword(s):  
Wind Turbine ◽  
First Principles ◽  
Pitch Control ◽  
Performance Improvements ◽  
Wind Turbine Control ◽  
Model Free ◽  
Turbine Performance ◽  
Significant Performance ◽  
Tuning Strategy ◽  
Iterative Feedback

Abstract. Traditionally, wind turbine controllers are designed using first principles or linearized or identified models. The aim of this paper is to show that with an automated, online, and model-free tuning strategy, wind turbine control performance can be significantly increased. For this purpose, iterative feedback tuning (IFT) is applied to two different turbine controllers: drivetrain damping and collective pitch control. The results, obtained by high-fidelity simulations using the NREL 5MW wind turbine, indicate significant performance improvements over baseline controllers, which were designed using classical loop-shaping techniques. It is concluded that iterative feedback tuning of turbine controllers has the potential to become a valuable tool to improve wind turbine performance.

scholarly journals Iterative feedback tuning of wind turbine controllers

2016 ◽  
Author(s):  
Edwin van Solingen ◽  
Jan-Willem van Wingerden
Keyword(s):  
Wind Turbine ◽  
First Principles ◽  
Pitch Control ◽  
Performance Improvements ◽  
Wind Turbine Control ◽  
Model Free ◽  
Turbine Performance ◽  
Significant Performance ◽  
Tuning Strategy ◽  
Iterative Feedback

Abstract. Traditionally, wind turbine controllers are designed using first-principles, linearized, or identified models. The aim of this paper is to show that with an automated and model-free tuning strategy, wind turbine control performance can be significantly increased. To this purpose, Iterative Feedback Tuning (IFT) is applied to two different turbine controllers: drivetrain damping and collective pitch control. The results, obtained by high-fidelity simulations using the NREL 5MW wind turbine, indicate significant performance improvements over baseline controllers which were designed using classical loop shaping techniques. It is concluded that iterative feedback tuning of turbine controllers can potentially become a valuable tool to improve wind turbine performance.

Gain scheduled control of IPMC actuators with ‘model-free’ iterative feedback tuning

2010 ◽  
Vol 164 (1-2) ◽  
pp. 137-147 ◽  
Author(s):  
A.J. McDaid ◽  
K.C. Aw ◽  
S.Q. Xie ◽  
E. Haemmerle
Keyword(s):  
Model Free ◽  
Gain Scheduled ◽  
Iterative Feedback

Bio-Inspired Design and Iterative Feedback Tuning Control of a Wearable Ankle Rehabilitation Robot

2016 ◽  
Vol 16 (4) ◽  
Author(s):  
Liang Zhou ◽  
Wei Meng ◽  
Charles Z. Lu ◽  
Quan Liu ◽  
Qingsong Ai ◽  
...  
Keyword(s):  
Degrees Of Freedom ◽  
Control Method ◽  
Real Life ◽  
Ankle Injuries ◽  
Rehabilitation Robot ◽  
Robotic Rehabilitation ◽  
Robot Controller ◽  
Model Free ◽  
Ankle Rehabilitation ◽  
Iterative Feedback

Robotic rehabilitation for ankle injuries offers several advantages in terms of precision, force accuracy, and task-specific training. While the existing platform-based ankle rehabilitation robots tend to provide a rotation center that does not coincide with the actual ankle joint. In this paper, a novel bio-inspired ankle rehabilitation robot was designed, which is wearable and can keep the participant's shank be stationary. The robot is redundantly actuated by four motors in parallel to offer three ankle rotation degrees-of-freedom (DOFs) with sufficient range of motion (ROM) and force capacity. To control the robotic rehabilitation device operated in a repetitive trajectory training manner, a model-free robust control method in form of iterative feedback tuning (IFT) is proposed to tune the robot controller parameters. Experiments were performed on the parallel ankle rehabilitation platform to investigate the efficacy of the design and the robustness of the IFT technique under real-life rehabilitation scenarios.

Representation, abstraction, and simple-minded sophisticates

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan
Keyword(s):  
Decision Theory ◽  
Predictive Coding ◽  
Bayesian Decision Theory ◽  
Bayesian Decision ◽  
Model Based ◽  
Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

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