作者: A. A. Khandekar , B. M. Patre
DOI: 10.1007/978-3-319-11173-5_9
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摘要: Selection of the proper control system for multi-variable systems with time delay is a challenging task because interacting dynamic behaviour variables. Till date most processes are controlled using proportional-integral-derivative (PID) controllers. The PID controllers either having centralized (full structured) or decentralized (diagonal) structure. design procedure very complicated as loop cannot be designed independently. controller requires detuning decoupling interactions. do not perform well larger Thus decoupler better choice simple procedure. In controllers, initially and decoupled subsystems obtained. Then each subsystem, single signal applied through to track From available literature, it can seen that methods based on linearized reduced order models. Due model reduction, parametric uncertainty (plant-model mismatch) introduced, which taken into consideration in process. Hence less robust even may lead instability especially presence model. Sliding mode (SMC) one strategy inherent property invariance uncertainty. continuous SMC produce best response only small sampling implementation since account its discrete uses hence considers steps. However, produces chattering big This limitation overcome by designing DSMC convergent quasi-sliding mode. this chapter, presented two input output (TITO) delay. ideal determine non-interacting subsystem models loop. all pole third plus (TOPDT) four point fitting frequency response. separate DSMCs state corresponding subsystem. signals generated decoupler. stability condition derived Lyapunov approach. To validate performance studied simulated. show effectiveness prosed strategy, compared existing