Fault-Tolerant Model Predictive Control of a Wind Turbine Benchmark
Yang X. and Maciejowski J. M.
The 8th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical Processes , August 2012Abstract
This paper aims to solve the fault tolerant control problem of a wind turbine benchmark. A hierarchical controller with model predictive pre-compensators, a global model predictive controller and a supervisory controller is proposed. In the model predictive pre-compensator, an extended Kalman Filter is designed to estimate the system states and various fault parameters. Based on the estimation, a group of model predictive controllers are designed to compensate the fault effects for each component of the wind turbine. The global MPC is used to schedule the operation of the components and exploit potential system-level redundancies. Extensive simulations of various fault conditions show that the proposed controller has small transients when faults occur and uses smoother and smaller generator torque and pitch angle inputs than the default controller. This paper shows that MPC can be a good candidate for fault tolerant controllers, especially the one with an adaptive internal model combined with a parameter estimation and update mechanism, such as an extended Kalman Filter.
Pre-Prints
[PDF]
BibTex Entry
- @InProceedings{,
- author = {Yang X. and Maciejowski J. M.},
- title = {Fault-Tolerant Model Predictive Control of a Wind Turbine Benchmark},
- booktitle = {The 8th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical Processes },
- month = {August},
- year = {2012}
- }
|
![[Dept of Engineering]](http://www.eng.cam.ac.uk/images/house_style/engban-s.gif)
