The parameterization of all stabilizing modified Smith predictors for non-square time-delay plants

Thi, Nghia; Yamada, Kou; Sakanushi, Tatsuya; Murakami, Iwanori; Ando, Yoshinori; Hoshikawa, Tatsuya

doi:10.3182/20110828-6-it-1002.01431

Cited by 3 publications

(1 citation statement)

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“…Several model-based controller design methods can find in the literature, such as the Smith predictor (Astrom et al, 1994; C.C. Hang et.al., 1989; Mai et al, 2011; Matausek and Micic, 1996; Uma and Rao, 2016; Vranc and Strmc, 2001), internal model control (IMC) (Begum et al, 2017; Garcia and Morari, 1982; Rivera et.al., 1986; Wang et al, 2001; Shamsuzzoha and Lee, 2008; Verma and Padhy, 2019), and stability margin controller design (Åström and Hägglund, 1984; Ho et al, 1997; Khuen et al, 1995). Garcia and Morari (1982) introduced an IMC approach for controlling industrial processes.…”

Section: Introductionmentioning

confidence: 99%

Indirect response-based tuning of PID controller with adjustable robustness

Singh

Verma

Sharma

et al. 2023

Transactions of the Institute of Measurement and Control

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The response-based design approach is a straightforward method for proportional–integral–derivative (PID) controller tuning. In this method, an open-loop process response is used to tune the PID controller for fixed robustness. In this article, new response-based PID tuning rules are proposed with adjustable robustness and response. Instead of three PID variables, the proposed PID tuning method allows the user to adjust the process response with a single variable [Formula: see text]. The range of constant [Formula: see text] is provided for ensuring the stability of the process. Three MATLAB/SIMULINK examples and one temperature controller experiment are used to validate the proposed controller performance. The simulation result is also compared with three well-known response-based PID tuning rules Z-N, Cohen-Coon, Astrom et al., and with a model-based PID tuning proposed by Wang et al. Moreover, the proposed tuning provides lesser IAE, ITAE, ISE, and ITSE values than the existing methods.

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