Two-Degrees-of-Freedom Robust PID Controllers Tuning Via a Multiobjective Genetic Algorithm
In this paper, a design methodology for a proportional integral derivative (P ID) control design is presented by means of the statement of a multiobjective optimization pr oblem (MOP). Two - degrees - of - f reedom controller (PID - ISA) is used. The objective functions are deployed considering a se...
| Authors: | , , |
|---|---|
| Format: | article |
| Status: | Published version |
| Publication Date: | 2014 |
| Country: | México |
| Institution: | Universidad Autónoma de Campeche |
| Repository: | Redalyc-UAC |
| OAI Identifier: | oai:redalyc.org:61531305004 |
| Online Access: | https://www.redalyc.org/articulo.oa?id=61531305004 |
| Access Level: | Open access |
| Keyword: | Computación of two degrees robustness uncertainty |
| Summary: | In this paper, a design methodology for a proportional integral derivative (P ID) control design is presented by means of the statement of a multiobjective optimization pr oblem (MOP). Two - degrees - of - f reedom controller (PID - ISA) is used. The objective functions are deployed considering a set point response, load disturbances and robustness to model uncertainty as its components. The time constant of measurement noise filter is a component of the vector of decision variables . The optimization problem is solved by means of a genetic algorithm . |
|---|