2010
DOI: 10.1049/iet-cta.2009.0424
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Design of robust optimal proportional–integral–derivative controller based on new interval polynomial stability criterion and Lyapunov theorem in the multiple parameters' perturbations circumstance

Abstract: Based on the new interval polynomial stability criterion and Lyapunov theorem, a robust optimal proportional -integral -derivative (PID) controller is proposed here to design for different plants that contain the perturbations of multiple parameters. A new stability criterion of the interval polynomial is presented to determine whether the interval polynomial belongs to Hurwitz polynomial. The robust optimal PID controller is acquired through minimising an augmented integral squared error (AISE) performance in… Show more

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Cited by 26 publications
(28 citation statements)
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References 29 publications
(31 reference statements)
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“…The integral squared error, integral absolute error, integral time absolute error, integral of squared time and error and integral time squared error performance index are often used to design optimal PI/PID controller. In this paper, AISE performance index in [7], [12] is used to design the optimal controller. So, optimal PI controller of the proposed method should satisfy basic requirement: (i) it can minimize performance index; (ii) it can stabilize feedback system.…”
Section: Optimal Control Problem Statementsmentioning
confidence: 99%
See 1 more Smart Citation
“…The integral squared error, integral absolute error, integral time absolute error, integral of squared time and error and integral time squared error performance index are often used to design optimal PI/PID controller. In this paper, AISE performance index in [7], [12] is used to design the optimal controller. So, optimal PI controller of the proposed method should satisfy basic requirement: (i) it can minimize performance index; (ii) it can stabilize feedback system.…”
Section: Optimal Control Problem Statementsmentioning
confidence: 99%
“…In [11], non-convex optimization method is proposed to design optimal PI controller in frequency domain. In [12], a method is proposed to design robust optimal PID controller via new interval polynomial stable criterions. In [13], a design method of fuzzy optimal PI controller is presented for a heat exchanger via solving a non-constraint optimization problem.…”
Section: Introductionmentioning
confidence: 99%
“…Precision and steady-state characteristic of control system are directly reflected by control error. In this paper, the AISE [21], [22] and AISE-HDPI performance index are proposed to design the optimal PID controller. Hence, the optimal PID controller not only stabilizes the control system but also satisfies the dynamic performance requirement of the control system.…”
Section: Optimal Control Problem Statementsmentioning
confidence: 99%
“…A graphical design method based on the Kharitonov theorem for characterizing all PI and PD controllers is developed in Tan (2009) and all the PID controllers in Huang and Wang (2000), which achieve pre-specified gain and phase margins for uncertain plant, but without introducing the bandwidth condition. A design approach for systems without time delay was presented in Li et al (2010) and Rigatos and Siano (2011). An H N theory-based controller was designed to obtain a faster and more accurate EMA system in Yoo et al (2004) and to improve the tracking and resolution of a servo positioning system in Raafat et al (2012).…”
Section: Introductionmentioning
confidence: 99%