Academic literature on the topic 'Dominant pole design'

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Journal articles on the topic "Dominant pole design"

1

Persson, P., and K. J. Åström. "Dominant Pole Design - A Unified View of PID Controller Tuning." IFAC Proceedings Volumes 25, no. 14 (1992): 377–82. http://dx.doi.org/10.1016/s1474-6670(17)50763-6.

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2

Hägglund, T., and K. J. Åström. "Automatic Tuning of Pid Controllers Based on Dominant Pole Design." IFAC Proceedings Volumes 18, no. 15 (1985): 205–10. http://dx.doi.org/10.1016/b978-0-08-033431-8.50039-7.

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3

Das, Saptarshi, Kaushik Halder, and Amitava Gupta. "Delay Handling Method in Dominant Pole Placement Based PID Controller Design." IEEE Transactions on Industrial Informatics 16, no. 2 (2020): 980–91. http://dx.doi.org/10.1109/tii.2019.2918252.

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4

Saidi, Bchira, Messaoud Amairi, Slaheddine Najjar, and Mohamed Aoun. "Fractional PID min-max optimisation-based design using dominant pole placement." International Journal of Systems, Control and Communications 9, no. 4 (2018): 277. http://dx.doi.org/10.1504/ijscc.2018.095263.

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5

Najjar, Slaheddine, Mohamed Aoun, Messaoud Amairi, and Bchira Saidi. "Fractional PID min-max optimisation-based design using dominant pole placement." International Journal of Systems, Control and Communications 9, no. 4 (2018): 277. http://dx.doi.org/10.1504/ijscc.2018.10015472.

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6

Richa and Awadhesh Kumar. "Dominant Pole Based Approximation for Discrete Time System." International Journal of Mathematical, Engineering and Management Sciences 4, no. 1 (2019): 56–65. http://dx.doi.org/10.33889/ijmems.2019.4.1-005.

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This paper presents an effective procedure for model order reduction of discrete time control system. The exact model derived from complex dynamic systems proves to be very complicated for analysis, control and design. This necessity brings about using a tool known as model order reduction technique or model simplification. A novel mixed method has been implemented in this paper for reducing the order of the large scale dynamic discrete system. Dominant pole based pole clustering method has been used to derive the coefficients of denominator polynomial while Padé approximation has been applied to obtain the coefficients of numerator polynomial of the reduced order model. The proposed method is quite simple and able to generate a stable reduced order model from high order stable discrete systems. The dominancy of poles has been decided by values of the ratio of residue to its pole. The pole is considered dominant which have larger ratio value. An illustrative example has been considered to show the various reduction steps. The result obtained confirms the effectiveness of the approach.
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7

Dincel, Emre, and Mehmet Turan Söylemez. "Digital PI-PD controller design for arbitrary order systems: Dominant pole placement approach." ISA Transactions 79 (August 2018): 189–201. http://dx.doi.org/10.1016/j.isatra.2018.04.009.

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8

HWANG, SHYH-HONG. "ADAPTIVE DOMINANT POLE DESIGN OF PID CONTROLLERS BASED ON A SINGLE CLOSED-LOOP TEST." Chemical Engineering Communications 124, no. 1 (1993): 131–52. http://dx.doi.org/10.1080/00986449308936182.

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9

Choma, J. "Simplified design guidelines for dominant pole amplifiers peaked actively by emitter or source followers." IEEE Transactions on Circuits and Systems 36, no. 7 (1989): 1005–10. http://dx.doi.org/10.1109/31.31336.

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10

Zare, Shahryar, Alireza Tavakolpour-Saleh, and Amir Omidvar. "From Beale Number to Pole Placement Design of a Free Piston Stirling Engine." Archive of Mechanical Engineering 64, no. 4 (2017): 499–518. http://dx.doi.org/10.1515/meceng-2017-0029.

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Abstract In this paper, pole placement-based design and analysis of a free piston Stirling engine (FPSE) is presented and compared to the well-defined Beale number design technique. First, dynamic and thermodynamic equations governing the engine system are extracted. Then, linear dynamics of the free piston Stirling engine are studied using dynamic systems theory tools such as root locus. Accordingly, the effects of variations of design parameters such as mass of pistons, stiffness of springs, and frictional damping on the locations of dominant closed-loop poles are investigated. The design procedure is thus conducted to place the dominant poles of the dynamic system at desired locations on the s-plane so that the unstable dynamics, which is the required criterion for energy generation, is achieved. Next, the closed-loop poles are selected based on a desired frequency so that a periodical system is found. Consequently, the design parameters, including mass and spring stiffness for both power and displacer pistons, are obtained. Finally, the engine power is calculated through the proposed control-based analysis and the result is compared to those of the experimental work and the Beale number approach. The outcomes of this work clearly reveal the effectiveness of the control-based design technique of FPSEs compared to the well-known approaches such as Beale number.
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