A control design procedure for plants with random initial conditions and constraints on the mean square actuator rates

This paper proposes a controller synthesis methodology to satisfy practical performance specifications for plants with random initial conditions and subject to constraints on the mean square actuator rates. A discrete linear optimal controller structure is employed. A standard mathematical programmi...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:International journal of systems science Ročník 26; číslo 3; s. 515 - 524
Hlavní autoři: FRANGOS, C., YAVTN, Y.
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Taylor & Francis Group 01.03.1995
Taylor & Francis
Témata:
Applied sciences
Computer science; control theory; systems
Control system synthesis
Control theory. Systems
Exact sciences and technology
Constraint
Performance requirement
Optimal control
Control system
Control synthesis
Aircraft
Mathematical programming
ISSN:0020-7721, 1464-5319
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:This paper proposes a controller synthesis methodology to satisfy practical performance specifications for plants with random initial conditions and subject to constraints on the mean square actuator rates. A discrete linear optimal controller structure is employed. A standard mathematical programming algorithm is used to compute the state weighting matrix Q such that the performance specifications are satisfied subject to constraints on the mean square actuator rates. The design procedure is demonstrated via an example dealing with the design of a flight control system.
ISSN:0020-7721
1464-5319
DOI:10.1080/00207729508929049