New tuning rules for fractional PIα controllers

Maione, Guido; Lino, Paolo

doi:10.1007/s11071-006-9125-x

Cited by 91 publications

(53 citation statements)

References 14 publications

(20 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These methods mainly concern the phase margin, gain margin, gain crossover frequency, and dominant poles. The studies of analytical tuning for FOPID can be found in [25][26][27]. The available rule-based methods can also be extended to the auto-tuning method by incorporating an additional test such as relay feedback test into the loop [28,29].…”

Section: Fractional Order Pid Tuning Methodsmentioning

confidence: 99%

Fractional Order PID Control of Rotor Suspension by Active Magnetic Bearings

Anantachaisilp¹,

Lin

2017

Actuators

View full text Add to dashboard Cite

Abstract:One of the key issues in control design for Active Magnetic Bearing (AMB) systems is the tradeoff between the simplicity of the controller structure and the performance of the closed-loop system. To achieve this tradeoff, this paper proposes the design of a fractional order Proportional-Integral-Derivative (FOPID) controller. The FOPID controller consists of only two additional parameters in comparison with a conventional PID controller. The feasibility of FOPID for AMB systems is investigated for rotor suspension in both the radial and axial directions. Tuning methods are developed based on the evolutionary algorithms for searching the optimal values of the controller parameters. The resulting FOPID controllers are then tested and compared with a conventional PID controller, as well as with some advanced controllers such as Linear Quadratic Gausian (LQG) and H ∞ controllers. The comparison is made in terms of various stability and robustness specifications, as well as the dimensions of the controllers as implemented. Lastly, to validate the proposed method, experimental testing is carried out on a single-stage centrifugal compressor test rig equipped with magnetic bearings. The results show that, with a proper selection of gains and fractional orders, the performance of the resulting FOPID is similar to those of the advanced controllers.

show abstract

Section: Fractional Order Pid Tuning Methodsmentioning

confidence: 99%

Fractional Order PID Control of Rotor Suspension by Active Magnetic Bearings

Anantachaisilp¹,

Lin

2017

Actuators

View full text Add to dashboard Cite

show abstract

“…Normally heuristic methods are reported for adjusting the parameters in order to achieve a convenient performance, for instance, as the heuristic method in [51] used in this paper. The design of  PI controllers follows the tuning rules in [51].…”

Section: Fractional-order Controllersmentioning

confidence: 99%

Blade pitch control malfunction simulation in a wind energy conversion system with MPC five-level converter

et al. 2016

View full text Add to dashboard Cite

This paper is on a wind energy conversion system simulation of a transient analysis due to a blade pitch control malfunction. The aim of the transient analysis is the study of the behavior of a back-to-back multiple point clamped five-level full-power converter implemented in a wind energy conversion system equipped with a permanent magnet synchronous generator. An alternate current link connects the system to the grid. The drive train is modeled by a three-mass model in order to simulate the dynamic effect of the wind on the tower. The control strategy is based on fractional-order control. Unbalance voltages in the DC-link capacitors are lessen due to the control strategy, balancing the capacitor banks voltages by a selection of the output voltage vectors. Simulation studies are carried out to evaluate not only the system behavior, but also the quality of the energy injected into the electric grid. © 2015 Elsevier Ltd. All rights reserved.Keywords: Wind energy; five-level power converter; drive train; fractional-order control; simulation. IntroductionEnvironmental problems such as global warming and habitat preservation have to be faced by the society in nowadays in order to achieve a sustainable development. One of the causes for the global warming is said to be the increase on the level of CO 2 in the atmosphere due to fossil fuel burning [1]. However, nowadays fossil fuel burning is needed for supplying the majority of the energy demand [2]. Research and development is on the way to achieve lower pollutants emissions on conversion of energy to convenient forms of usage in order to achieve a sustainable development. Conversion of energy from renewable energy sources are in nowadays a political attractive option [3] and a wind energy conversion system (WECS) is an economically viable exploitation [4], experiencing a significant expansion [5,6]. Although, onshore WECS deployments are cheaper than offshore ones, new suitable available onshore sites for deployments are becoming scarce, particularly in Europe [7]. So, the offshore WECS is becoming a further attractive option.

show abstract

“…Although applications and design methods regard mainly on linear systems, it is possible to use some of the knowledge already attained to envisage it on nonlinear systems, since the performance of fractional-order controllers in the presence of nonlinearity is of great practical interest (Barbosa et al, 2007). In order to examine the ability of fractional-order controllers for the variable-speed operation of wind turbines, this book chapter follows the tuning rules in (Maione & Lino, 2007). But, a more systematic procedure for controllers design needs further research in order to well develop tuning implementation techniques (Chen et al, 2009) for a ubiquitous use of fractional-order controllers.…”

Section: Fractional Order Controllersmentioning

confidence: 99%

“…An important property revealed by the Riemann-Liouville and Grünwald-Letnikov definitions is that while integer-order operators imply finite series, the fractional-order counterparts are defined by infinite series (Calderón et al, 2006), (Arijit et al, 2009 A good trade-off between robustness and dynamic performance, presented in (Maione & Lino, 2007), is in favour of a value for μ in the range [0.4, 0.6].…”

Section: Fractional Order Controllersmentioning

confidence: 99%

“…Design of PI μ controllers on the wind energy conversion systems is made over the respective configurations. The design of PI μ controllers follows the tuning rules in (Maione & Lino, 2007). Power electronic converters are modelled as a pure delay (Chinchilla et al, 2006) and the left-over dynamics are modelled with a second order equivalent transfer function, following the identification of a step response.…”

Section: Converters Controlmentioning

confidence: 99%

See 1 more Smart Citation