Gain-scheduled LQR control of an aerospace drive system with LC filter and long feeder cable

Xie, Patrick; Dewar, David; Vakil, Gaurang; Gerada, Chris

doi:10.23919/icems50442.2020.9291037

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2024

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“…I. Orfanoudakis is with the Electrical and Computer Engineering department at the Hellenic Mediterranean University (HMU), Heraklion, Crete, Greece, 71410 (e-mail: gorfas@hmu.gr). applied in the past are gradually substituted by vector control approaches, for which sensorless operation is mandatory due to the difficulty of transmitting the position information over long distances [2], [3], [5], [6], [8], [9], [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Combined Positive-Sequence Flux Estimation and Current Balancing for Sensorless Motor Control Under Imbalanced Conditions

Orfanoudakis

Sharkh

Yuratich³

2021

IEEE Trans. on Ind. Applicat.

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Section: Introductionmentioning

confidence: 99%

Combined Positive-Sequence Flux Estimation and Current Balancing for Sensorless Motor Control Under Imbalanced Conditions

Orfanoudakis

Sharkh

Yuratich³

2021

IEEE Trans. on Ind. Applicat.

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LQR controller performance via particle swarm optimization and neural networks

Chacko,

Kumar,

Abraham

2024

Optim Control Appl Methods

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The inverted pendulum‐cart (IPC) control problem has long been a benchmark in the field of control systems due to its inherent instability and nonlinear dynamics. The linear quadratic regulator (LQR) control technique has been proven to be effective in stabilizing the inverted pendulum; however, the challenge lies in finding the optimal control gains that provide the best performance. This article presents a method to address the LQR control design problem for the IPC system which is compared against a particle swarm optimization based LQR and a neural network optimized LQR. The method provides a deterministic approach to finding the weighing matrices Q and R in accordance with the time domain characteristics chosen by the designer, such as settling time and maximum peak overshoot. Results from MATLAB simulations indicate that the suggested strategy has good performance.

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Gain-scheduled LQR control of an aerospace drive system with LC filter and long feeder cable

Cited by 2 publications

References 10 publications

Combined Positive-Sequence Flux Estimation and Current Balancing for Sensorless Motor Control Under Imbalanced Conditions

Combined Positive-Sequence Flux Estimation and Current Balancing for Sensorless Motor Control Under Imbalanced Conditions

LQR controller performance via particle swarm optimization and neural networks

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