| Literature DB >> 32493576 |
Jorge Muñoz1, Concepción A Monje2, Luis F Nagua2, Carlos Balaguer2.
Abstract
Fractional order controllers are widely used in the robust control field. As a generalization of the ubiquitous PID controllers, fractional order controllers are able to reach design specifications their integer counterparts cannot, and as a result they outperform them at particular situations. Their main drawback is that generalization of the design tools is not always evident, and therefore tuning this kind of controller is always a new and different challenge. Existing methods often use numerical computation to find the controller parameters that fit the specifications. This paper describes a graphical solution for fractional order controllers, which avoids the solution by nonlinear equations and helps designer to solve the control problem in a very intuitive way. This approach is tested in the servomotors of a real bio-inspired soft neck and results are compared with those obtained from other control strategies. The experiments show that the controller tuned by this method works as expected from a robust controller and that this approach is very competitive compared to other state of the art methods, while offering a more simplified and direct tuning process.Entities:
Keywords: Fractional order controller; Robust control; Soft robotics; Tuning methods
Year: 2020 PMID: 32493576 DOI: 10.1016/j.isatra.2020.05.045
Source DB: PubMed Journal: ISA Trans ISSN: 0019-0578 Impact factor: 5.468