An Optimal PID Controller for a Bidirectional Inductive Power Transfer System Using Multiobjective Genetic Algorithm

Neath, Michael; Swain, Akshya; Madawala, Udaya K.; Thrimawithana, Duleepa J.

doi:10.1109/tpel.2013.2262953

Cited by 231 publications

(93 citation statements)

References 25 publications

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“…The results showed that proposed method presents better performance when compared with Ziegler-Nichols. Similar results are obtained by Neath et al [3]. They applied GA-based PID tuning methodology with the aid of weighted sum scalarization method (rise time, settling time and overshoot).…”

Section: Introductionsupporting

confidence: 82%

Multiobjective PID controller design for active suspension system: scalarization approach

Altınöz¹

2018

Int. J. Optim. Control, Theor. Appl. (IJOCTA)

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In this study, the PID tuning method (controller design scheme) is proposed for a linear quarter model of active suspension system installed on the vehicles. The PID tuning scheme is considered as a multiobjective problem which is solved by converting this multiobjective problem into single objective problem with the aid of scalarization approaches. In the study, three different scalarization approaches are used and compared to each other. These approaches are called linear scalarization (weighted sum), epsilon-constraint and Bensons methods. The objectives of multiobjective optimization are selected from the time-domain properties of the transient response of the system which are overshoot, rise time, peak time and error (in total there are four objectives). The aim of each objective is to minimize the corresponding property of the time response of the system. First, these four objective is applied to the scalarization functions and then single objective problem is obtained. Finally, these single objective problems are solved with the aid of heuristic optimization algorithms. For this purpose, four optimization algorithms are selected, which are called Particle Swarm Optimization, Differential Evolution, Firefly, and Cultural Algorithms. In total, twelve implementations are evaluated with the same number of iterations. In this study, the aim is to compare the scalarization approaches and optimization algorithm on active suspension control problem. The performance of the corresponding cases (implementations) are numerically and graphically demonstrated on transient responses of the system.

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Section: Introductionsupporting

confidence: 82%

Multiobjective PID controller design for active suspension system: scalarization approach

Altınöz¹

2018

Int. J. Optim. Control, Theor. Appl. (IJOCTA)

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“…Therefore, the proposed controller ensures the control of the secondary side only, whilst the primary side controller is operated at a fixed phase angle using an open-loop controller. The pickup controller regulates the output power P si by varying the voltage v si applied to the secondary side's resonant network as [23]:…”

Section: Bidirectional Ipt Pickup-side Controllermentioning

confidence: 99%

“…These controllers give sub-optimal performance if not correctly tuned and are vulnerable to system disturbances and parametric variations which are prevalent in such systems. Recently the authors in [23] have applied multi-objective genetic algorithms to tune the PID parameters. Such controllers are also associated with tedious tuning processes often involving trial and error, motivating a model based robust controller design approach to overcome such problems.…”

Section: Introductionmentioning

confidence: 99%

Robust H<sub>∞</sub> output feedback control of bidirectional inductive power transfer systems

Swain

Almakhles

Neath

et al. 2017

Archives of Control Sciences

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Robust H ∞ output feedback control of bidirectional inductive power transfer systems AKSHYA SWAIN, DHAFER ALMAKHLES, MICHAEL J. NEATH and ALIREZA NASIRI Bidirectional Inductive power transfer (IPT) systems behave as high order resonant networks and hence are highly sensitive to changes in system parameters. Traditional PID controllers often fail to maintain satisfactory power regulation in the presence of parametric uncertainties. To overcome these problems, this paper proposes a robust controller which is designed using linear matrix inequality (LMI) techniques. The output sensitivity to parametric uncertainty is explored and a linear fractional transformation of the nominal model and its uncertainty is discussed to generate a standard configuration for µ-synthesis and LMI analysis. An H ∞ controller is designed based on the structured singular value and LMI feasibility analysis with regard to uncertainties in the primary tuning capacitance, the primary and pickup inductors and the mutual inductance. Robust stability and robust performance of the system is studied through µ-synthesis and LMI feasibility analysis. Simulations and experiments are conducted to verify the power regulation performance of the proposed controller.

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“…With the rectifier bridge (D 1 -D 4 ) and Inductor Capacitor (LC) filter network, AC energy is transformed to DC output to the load R. To achieve high output voltage gain, the classical method is implemented by placing an additional Boost converter at the primary or secondary side. However, the added Boost converter will increase the volume and weight of the whole system [12,13], and make the system complicated to control. There are few papers related with voltage gain improvement.…”

Section: High Output Gain Push-pull Circuitmentioning

confidence: 99%

A Novel High Controllable Voltage Gain Push-Pull Topology for Wireless Power Transfer System

Duan

Dai

et al. 2017

Energies

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Wireless Power Transfer (WPT) is commonly used to transmit power from a transmitting coil to various movable power devices. In the WPT system, due to a resonant tank inherent characteristic, the system cannot achieve a high output voltage gain. This paper proposes a novel current-fed push-pull circuit to realize high output voltage gain by adding a bi-directional switch between the resonant network and inverter. To obtain a high voltage gain, this paper proposes energy storage and energy injection mode to realize an energy boost function. A duty cycle control method for mode switching is also proposed. The proposed method allows the converter to operate with a variable voltage gain over a wide range with high efficiency. Experimental validation shows that the system gain of a proposed circuit can achieve a variable gain from 2 to 7 of which the converter can be two times higher than the classical system with the same condition.

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An Optimal PID Controller for a Bidirectional Inductive Power Transfer System Using Multiobjective Genetic Algorithm

Cited by 231 publications

References 25 publications

Multiobjective PID controller design for active suspension system: scalarization approach

Multiobjective PID controller design for active suspension system: scalarization approach

Robust H<sub>∞</sub> output feedback control of bidirectional inductive power transfer systems

A Novel High Controllable Voltage Gain Push-Pull Topology for Wireless Power Transfer System

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