LQR-PI controller dedicated to the indirect vector control without speed sensor for an asynchronous motor

Beddiaf, Yassine; Zidani, F.; Chrifi‐Alaoui, Larbi

doi:10.1109/sta.2015.7505183

Cited by 3 publications

(1 citation statement)

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“…A lot of research is being done to enhance the speed control performance of DC motors by simply adding the control efforts of LQRs and PI controllers [12,13]. The combination can be further synergized by taking a weighted sum of the available control resources.…”

Section: Introductionmentioning

confidence: 99%

Adaptive collaborative speed control of PMDC motor using hyperbolic secant functions and particle swarm optimization

2018

Turk J Elec Eng & Comp Sci

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This paper presents an adaptive collaborative speed controller for a permanent magnet direct-current (PMDC) motor. The proposed scheme beneficially combines the control efforts of a proportional-integral (PI) controller and a linear-quadratic regulator (LQR) via a weighted summing module. Initially, the weightages of the summing module are kept fixed. They are optimally tuned and tested via the particle swarm optimization algorithm. In order to synergize the controller combination, these weightages are adaptively modulated as well, using hyperbolic secant functions of the error dynamics of the motor's angular speed. The adaptive combination renders significant enhancement in the transient response, steady-state response, input-energy consumption, disturbance rejection, and variable load-torque handling capability of the motor. The adaptive-weighted controller is tested against the PI controller, the LQR, and a fixed-weighted collaborative controller via 'hardware-in-the-loop' experiments. The experimental results are presented to validate the robustness of the adaptive controller.

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Section: Introductionmentioning

confidence: 99%