Robust tracking system design for a synchronous reluctance motor – SynRM based on a new modified bat optimization algorithm

Igrec, Dalibor; Chowdhury, Amor; Štumberger, B.; Sarjaš, Andrej

doi:10.1016/j.asoc.2018.05.002

Cited by 11 publications

(6 citation statements)

References 35 publications

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“…The iron loss resistance, further, depends on the iron loss constant (K rm ) and ω r (r m = K rm ω r ). The output torque equation is described as follows [24]:…”

Section: Mathematical Modeling Of Synrm In Foc Framementioning

confidence: 99%

Automated QFT-Based PI Tuning for Speed Control of SynRM Drive with Analytical Selection of QFT Control Specifications

Poola

Hanamoto

2022

Energies

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The gains of PI controllers, used in the cascaded speed control of synchronous reluctance motors (SynRMs), are synthesized using quantitative feedback theory (QFT). A systematic design approach is employed to quantitatively determine the PI controller gains in terms of speed and current loops, using a mathematical model of the SynRM. Further, to make the QFT design a more transparent method, an analytical procedure using the frequency domain is attempted to design the QFT bounds as well as the initial search space of the optimization algorithm used in automatic loop shaping. The effectiveness of the proposed PI tuning method is verified with the extensive MATLAB/Simulink simulation environment. The results illustrate the supremacy of the proposed PI tuning method, in terms of control performance, over the conventional PI tuning method, using the analytical procedure.

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“…The iron loss resistance, further, depends on the iron loss constant (K rm ) and ω r (r m = K rm ω r ). The output torque equation is described as follows [24]:…”

Section: Mathematical Modeling Of Synrm In Foc Framementioning

confidence: 99%

Automated QFT-Based PI Tuning for Speed Control of SynRM Drive with Analytical Selection of QFT Control Specifications

Poola

Hanamoto

2022

Energies

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“…The boundaries of the parameters a b originate from the system properties. In work [21], the nonlinearities of the positioning system are discussed extensively. The majority of nonlinearities arise from nonlinear magnetization characteristics, shaft position, and velocity.…”

Section: Problem Formulationmentioning

confidence: 99%

Toward Embedded System Resources Relaxation Based on the Event-Triggered Feedback Control Approach

Sarjaš

Gleich

2022

Mathematics

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The paper describes an event-triggered nonlinear feedback controller design. Event triggering is a real-time controller implementation technique which reduces embedded system utilization and relaxes task scheduling of the real-time system. In contrast to classic time implementation techniques, the event-triggered execution is validated regarding the introduced triggering policy. The triggering rule is a boundary, where the last task value is preserved until the rule is violated. In the given paper, two different event-triggered strategies are designed for the class of dynamic systems with integral behavior. Both methods are based on sliding mode controller design, where the triggering rule of the first design involves only a partial state vector, which is a direct consequence of the triggering rule derivation throughout the Lyapunov stability analysis. In the second approach, the sliding mode controller is designed upon prior stabilized systems with the additional term, which enables derivation of the triggering rule based on the whole state vector. The second approach offers better closed-loop performance and higher relaxation of the system utilization. The selection of triggering boundary is related closely to the derived minimal inter-event time, which impacts the computational burden of the real-time system and closed-loop performance directly. The derived controllers are compared with the classic sample and hold implementation techniques. The real-time results are presented, and system performances are confirmed regarding embedded system task relaxation, lowering the computational intensity and preserving closed-loop dynamics.

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“…dt have a highly nonlinear dependence, which is caused by magnetization characteristic, rotor shape, construction, and position. The nonlinearities of the SynRM taken from [29] are presented in Figures 1-3. The used SynRM has 24 skewed slots, with an inside diameter and length of 62 mm and 60 mm.…”

Section: Synrm Modelingmentioning

confidence: 99%

“…It has four poles, with three magnetic barriers per each pole. The presented nonlinearities are obtained from 3D finite element modeling and analysis (FEMA) [28,29].…”

Section: Synrm Modelingmentioning

confidence: 99%

Sub-Optimal Second-Order Sliding Mode Controller Parameters’ Selection for a Positioning System with a Synchronous Reluctance Motor

Svečko

Gleich

Chowdhury³

et al. 2019

Energies

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This paper discusses nonlinear controller structure design for a synchronous reluctance motor (SynRM). The SynRM is represented with a nonlinear dynamic model. All presented nonlinearities of the SynRM are respected in the controller design procedure. A nonlinear controller policy is used for a SynRM positing system. The nonlinear controller design is based on the chattering alleviation technique for the super-twisted algorithm (STA). The alleviation technique assumes the presence of a fast parasitic dynamic, or fast, actuator. Based on the motor structure, the STA controller is designed only for the mechanical subsystem, where the electrical part presents the parasitic dynamic, and is taken in to account in the chattering suppression procedure. Chattering rejection is based on the STA describing function and harmonic balance equation. The approach allows determination of fast oscillation parameters, such as amplitude and frequency of oscillation. The conditions for the controller parameters’ selection are derived with regard to the given oscillation parameters. The derived conditions cover the stability analysis for the STA controller, as well as the stability condition for current controllers and chattering amplitude minimization. The result is confirmed with an example.

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Robust tracking system design for a synchronous reluctance motor – SynRM based on a new modified bat optimization algorithm

Cited by 11 publications

References 35 publications

Automated QFT-Based PI Tuning for Speed Control of SynRM Drive with Analytical Selection of QFT Control Specifications

Automated QFT-Based PI Tuning for Speed Control of SynRM Drive with Analytical Selection of QFT Control Specifications

Toward Embedded System Resources Relaxation Based on the Event-Triggered Feedback Control Approach

Sub-Optimal Second-Order Sliding Mode Controller Parameters’ Selection for a Positioning System with a Synchronous Reluctance Motor

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