HC12: Efektivní návrh PID regulátoru

HC12: Efficient PID Controller Design

článek v časopise - ostatní, Jost

en

The control problems leak out into the most areas of human operations. It includes machine control and business control operations as well. In the areas of technical relevance the concept of PID controller (Proportional-Integral-Derivative controller) is widely known. The tuning process of PID controller can be solved by experimental way (the expert is needed) or determined as optimization task. An optimal PID control design includes more goals of optimal regulation process which are often contradictory. Optimal setting of PID controller is generally a task of nonlinear mathematical optimization which is furthermore done on top of dynamic system. The multi-criterion optimization of PID controller by means of soft computing optimization method HC12 is presented. The paper extends previous work [1] and shows some new conclusions. Presented solutions are compared with classical control design methods Ziegler-Nichols and Modulus Optimum.

Problémy řízení lze nalézt ve všech oblastech lidského konání at se již jedná o řízení strojů nebo lidských zdrojů. V oblasti techniky je nejužívanějším konceptem zpětnovazebné řízení založené na PID regulátorech. Proces nastavení PID regulátoru může být proveden experimentálně s využitím expertních znalostí nebo může být tento proces realizován jako optimalizační úloha. Optimální nastavení PID regulátoru musí splňovat různé, mnohdy protichůdné požadavky. Tento příspěvek rosšiřuje naše předchozí výzkumy a ukazuje nové závěry. Prezentovaná řešení jsou realizována pomocí optimalizačního algoritmu HC12 a jsou porovnávána s klasickými metodami nastavení regulátorů.

The control problems leak out into the most areas of human operations. It includes machine control and business control operations as well. In the areas of technical relevance the concept of PID controller (Proportional-Integral-Derivative controller) is widely known. The tuning process of PID controller can be solved by experimental way (the expert is needed) or determined as optimization task. An optimal PID control design includes more goals of optimal regulation process which are often contradictory. Optimal setting of PID controller is generally a task of nonlinear mathematical optimization which is furthermore done on top of dynamic system. The multi-criterion optimization of PID controller by means of soft computing optimization method HC12 is presented. The paper extends previous work [1] and shows some new conclusions. Presented solutions are compared with classical control design methods Ziegler-Nichols and Modulus Optimum.

HC12, PID, optimalizace, magnetická levitace

HC12, PID, optimization, magnetic levitation

2012

27.02.2012

International Association of Engineers

USA

1816-093X

20

1

42–48

7