2012 IEEE International Conference on Mechatronics and Automation 2012
DOI: 10.1109/icma.2012.6285703
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Fractional-order PI speed control for permanent magnet synchronous motor

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Cited by 15 publications
(11 citation statements)
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“…IPMSM is a complicated system of high-nonlinearities, strong-coupling and multi-variables, and its parameters are very sensitive to environment. In order to achieve high control performance of IPMSM, such as fast response, high precision, and strong anti-disturbance capacity, various control strategies are proposed including proportional integral (PI) control [4], [5], [6], [7], [8], neural network (NN) control [9], [10], [11], [12], [13], [14], fuzzy control [15], [16], [17], [3], [18], sliding mode control [19], [20], [21], [22], [23], predictive control [24], [25], [26], [27], dynamic surface control(DSC) [10], [28], [29], [30], [13] and extended-state-observer-based control [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], etc. Specifically, in [3], a discrete-time fuzzy position tracking controller is designed via backstepping approach to overcome the problem of coupling nonlinearity in the IPMSM drive system.…”
Section: Introductionmentioning
confidence: 99%
“…IPMSM is a complicated system of high-nonlinearities, strong-coupling and multi-variables, and its parameters are very sensitive to environment. In order to achieve high control performance of IPMSM, such as fast response, high precision, and strong anti-disturbance capacity, various control strategies are proposed including proportional integral (PI) control [4], [5], [6], [7], [8], neural network (NN) control [9], [10], [11], [12], [13], [14], fuzzy control [15], [16], [17], [3], [18], sliding mode control [19], [20], [21], [22], [23], predictive control [24], [25], [26], [27], dynamic surface control(DSC) [10], [28], [29], [30], [13] and extended-state-observer-based control [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], etc. Specifically, in [3], a discrete-time fuzzy position tracking controller is designed via backstepping approach to overcome the problem of coupling nonlinearity in the IPMSM drive system.…”
Section: Introductionmentioning
confidence: 99%
“…Although the majority of controllers in industry are designed as PID or PI type, the practical applicability of the FOPD controller has been verified by existing studies [27–30]. For example, in [27], an FOPD controller was designed for a real‐time hard‐disk‐drive servo system, which successfully improved the system track‐following control performance.…”
Section: Introductionmentioning
confidence: 99%
“…The application of an FOPD controller on a horsepower dynamometer was presented in [28], where the practical system achieved favourable robustness and transient performance. Wang and Pi [29] show that the designed FOPD controller outperforms traditional optimal controllers when both are applied to a permanent magnet synchronous motor. Another FOPD controller used in active vibration suppression for aeroplane wings, could significantly improve the vibration suppression effect in smart beams [30].…”
Section: Introductionmentioning
confidence: 99%
“…Some researchers have already focused on the application of FOPI controller in the machine system [39,41,[46][47][48][49][50][51][52][53][54][55][56][57][58][59]. These references mainly focused on the controller parameters tuning methods according to different criteria.…”
Section: Introductionmentioning
confidence: 99%