Back to Search
Start Over
Experimental comparison of classical pid and model-free control: position control of a shape memory alloy active spring
- Source :
- Control Engineering Practice, Control Engineering Practice, Elsevier, 2011, 19 (5), pp.433-441. ⟨10.1016/j.conengprac.2011.01.005⟩, Control Engineering Practice, 2011, 19 (5), pp.433-441. ⟨10.1016/j.conengprac.2011.01.005⟩
- Publication Year :
- 2011
- Publisher :
- HAL CCSD, 2011.
-
Abstract
- WOS; International audience; Shape memory alloys (sma) are more and more integrated in engineering applications. These materials with their shape memory effect permit to simplify mechanisms and to reduce the size of actuators. sma parts can easily be activated by Joule effect but their modelling and consequently their control remains difficult, it is principally due to their hysteretic thermomechanical behaviour. Most of successful control strategy applied to sma actuator are not often suitable for industrial applications: they are particularly heavy and use the Preisach model or neural networks to model the hysteretic behaviour of these material; this kind of models are difficult to identify and to use in real time. That is why this paper deals with an application of the new framework of model-free control (mfc) to a sma spring based actuator. This control strategy is based on new results on fast derivatives estimation of noisy sig- nals, its main advantages are: its simplicity and its robustness. Experimental results and comparisons with pi control are exposed that demonstrate the efficiency of this new control strategy. Key words: Nonlinear control, Model-free control, Shape memory alloy, Derivative estimation, Nonphysical modelling.
- Subjects :
- 0209 industrial biotechnology
Engineering
PID controller
02 engineering and technology
Nonlinear control
Shape memory alloy
020901 industrial engineering & automation
Control theory
Robustness (computer science)
[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering
0202 electrical engineering, electronic engineering, information engineering
Non-linear control
Electrical and Electronic Engineering
Nonphysical modeling
Artificial neural network
Derivative estimation
business.industry
Applied Mathematics
System identification
Control engineering
Shape-memory alloy
Model-free control
SMA
Computer Science Applications
Control and Systems Engineering
020201 artificial intelligence & image processing
Actuator
business
Subjects
Details
- Language :
- English
- ISSN :
- 09670661
- Database :
- OpenAIRE
- Journal :
- Control Engineering Practice, Control Engineering Practice, Elsevier, 2011, 19 (5), pp.433-441. ⟨10.1016/j.conengprac.2011.01.005⟩, Control Engineering Practice, 2011, 19 (5), pp.433-441. ⟨10.1016/j.conengprac.2011.01.005⟩
- Accession number :
- edsair.doi.dedup.....54d539634f41533eec9cfc0c7db95533
- Full Text :
- https://doi.org/10.1016/j.conengprac.2011.01.005⟩