Closed-loop frequency-based identification method for Hammerstein type plants with a transport delay using a relay feedback

Juric, Zeljko; Hanjalic, Selma; Sehovic, Hamza

doi:10.1109/icat.2013.6684089

Cited by 2 publications

(1 citation statement)

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“…It is not a simple task to define the parameters of the linear dynamic model approximation in the closed-loop system. In [47][48][49] active methods of identification are proposed; here sine waves in input are used to excite the Wiener continuous-time system and frequency methods are used to determine the unknowns. Unknown additive disturbances create problems for closedloop identification [50].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy adaptive control system of a non-stationary plant with closed-loop passive identifier

Manenti

Rossi

Goryunov

et al. 2015

Resource-Efficient Technologies

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Typically chemical processes have significant nonlinear dynamics, but despite this, industry is conventionally still using PID-based regulatory control systems. Moreover, process units are interconnected, in terms of inlet and outlet material/energy flows, to other neighboring units, thus their dynamic behavior is strongly influenced by these connections and, as a consequence, conventional control systems performance often proves to be poor. This paper proposes a hybrid fuzzy PID control logic, whose tuning parameters are provided in real time. The fuzzy controller tuning is made on the basis of Mamdani controller, also exploiting the results coming from an identification procedure that is carried on when an unmeasured step disturbance of any shape affects the process behavior.In addition, this paper compares a fuzzy logic based PID with PID regulators whose tuning is performed by standard and well-known methods. In some cases the proposed tuning methodology ensures a control performance that is comparable to that guaranteed by simpler and more common tuning methods. However, in case of dynamic changes in the parameters of the controlled system, conventionally tuned PID controllers do not show to be robust enough, thus suggesting that fuzzy logic based PIDs are definitively more reliable and effective.

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Section: Introductionmentioning

confidence: 99%