2017
DOI: 10.1007/s00202-017-0603-6
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A robust suboptimal control system design of chaotic PMSMs

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Cited by 6 publications
(6 citation statements)
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“…5b, 7b, 9b, 11b, we show the results of estimated total disturbance (d ) and the load torque TL because in real-time experiments, there is no way to measure the total disturbance precisely. Also, as presented in (2), there are some mismatch between total disturbance and load torque, there is always some error between them.…”
Section: Resultsmentioning
confidence: 99%
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“…5b, 7b, 9b, 11b, we show the results of estimated total disturbance (d ) and the load torque TL because in real-time experiments, there is no way to measure the total disturbance precisely. Also, as presented in (2), there are some mismatch between total disturbance and load torque, there is always some error between them.…”
Section: Resultsmentioning
confidence: 99%
“…On the other hand, comparing with induction motors, it has higher efficiency [1]. However, it has been reported [2]- [7], that the PMSMs with nonlinear multivariable structure, external disturbance, noise, and uncertainties, cannot be controlled precisely [8], [9]. Direct torque control (DTC) is one of the approaches to simplify the control system in PMSM control applications.…”
Section: Introductionmentioning
confidence: 99%
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“…methods cannot guarantee good performance, especially with parameter uncertainties and external disturbance conditions. Although LQR control method is claimed to handle chaotic nonlinear behaviour of electric machine [8], [47], the nonlinear control methods have to be assessed thoroughly. Recently, to cope with limitations of linear control methods, researchers have proposed various advanced linear and nonlinear control techniques to improve performance, attenuate disturbance and unmodelled dynamics in the permanent magnet synchronous generator (PMSG)-based WECS.…”
Section: Introductionmentioning
confidence: 99%
“…For LQR, it requires to solve algebraic Riccati equation (ARE) to get optimal control gains at each set of weighting matrices. Among nonlinear optimal control approaches, state-dependent Riccati equation (SDRE) based control is quite popular for various nonlinear systems [41]- [47]. In an SDRE based methods, numerical approaches such as Taylor's series expansion can be used to obtain approximated solution of nonlinear optimal controller.…”
Section: Introductionmentioning
confidence: 99%