On-Line Supervisory Control Design for Maglev Transportation System via Total Sliding-Mode Approach and Particle Swarm Optimization

Wai, Rong‐Jong; Chuang, Kun-Lun; Lee, Jeng-Dao

doi:10.1109/tac.2010.2042228

Cited by 41 publications

(5 citation statements)

References 32 publications

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“…For this purpose, the main speed controller i.e., the sliding mode controller provides an output in terms of q-axis stator current command, i q as the control input for the inner q-axis current controller. The speed tracking error, e(t) and its derivative are defined in Equations (21) and (22) respectively, where a, b, c, ∅(t) and δ(t) are defined as in Equations (23)- (26) with ∆a, ∆b, ∆c as the time-varying value of the system parameters and δ(t) is lumped uncertainty:…”

Section: Field Oriented Speed Control Of Pmsmmentioning

confidence: 99%

“…Other than that, remarkable features of SMC are its high accuracy and simplicity. SMC has been successfully implemented in many fields [26][27][28][29][30][31][32] and applied to many other machine types other than PMSMs, e.g., induction motors [26,[33][34][35], linear variable reluctance motors [36] and brushless DC motors [37,38]. SMC is applied to PMSMs directly for speed control, position control and efficiency as well as indirectly for observer design.…”

Section: Introductionmentioning

confidence: 99%

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Robust Speed Control of PMSM Using Sliding Mode Control (SMC)—A Review

2019

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Permanent magnet synchronous motors (PMSMs) are known as highly efficient motors and are slowly replacing induction motors in diverse industries. PMSM systems are nonlinear and consist of time-varying parameters with high-order complex dynamics. High performance applications of PMSMs require their speed controllers to provide a fast response, precise tracking, small overshoot and strong disturbance rejection ability. Sliding mode control (SMC) is well known as a robust control method for systems with parameter variations and external disturbances. This paper investigates the current status of implementation of sliding mode control speed control of PMSMs. Our aim is to highlight various designs of sliding surface and composite controller designs with SMC implementation, which purpose is to improve controller’s robustness and/or to reduce SMC chattering. SMC enhancement using fractional order sliding surface design is elaborated and verified by simulation results presented. Remarkable features as well as disadvantages of previous works are summarized. Ideas on possible future works are also discussed, which emphasize on current gaps in this area of research.

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Section: Field Oriented Speed Control Of Pmsmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust Speed Control of PMSM Using Sliding Mode Control (SMC)—A Review

2019

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“…A popular way in design of the control law in Eq. (2) is the use of switch function sat( ) s [11]. The control performance of the proposed control law is compared with the popular switch function based control law.…”

Section: Case 1: Regular Sea Conditionmentioning

confidence: 99%

Robust global sliding model control for water-hull-propulsion unit interaction systems - Part 2: Model validation

Li¹,

Yan

Qin

et al. 2015

Teh. vjesn.

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Original scientific paper Unexpected severe hull deformation caused by wave loads poses alignment problem to the propulsion shaft line in large scale ships, which would significantly influence the dynamical performance of the marine propulsion system. How to suppress negative disturbance imposed by the interaction between water-hull-propulsion and ensure the normal operation of the marine propulsion system is a challenging task. To address this issue, a new global sliding model control (GSMC) for marine water-hull-propulsion unit systems is proposed and investigated to obtain more accurate control performance in a series of researches. In Part 1 the GSMC controller has been developed and the bounded nonlinear model uncertainties have been derived based on the experiments and sea trial. In this work the upper boundary of 1,85 % was introduced into the GSMC controller to derive the total control law realising the robust control of the marine propulsion system. Numerical simulations based on the real bulk carrier parameters show a high effectiveness of the GSMC for speed tracking, compared with the traditional sliding model controller and Proportional Integral Derivative (PID) controller. By the proposed and investigated control system in this paper may be developed a simple practical-effective robust control strategy for marine propulsion systems subject to some complex unknown uncertainties through further investigations, validations and modifications.Keywords: global sliding model control; marine propulsion system; nonlinear control model; uncertainties in marine propulsion system; water-hullprolusion unit interactions Upravljanje izdržljivim globalnim kliznim modelom za interakcijske sustave voda-trup-pogonska jedinica -Dio 2: Potvrđivanje modelaIzvorni znanstveni članak Neočekivana jaka deformacija trupa uzrokovana težinom valova predstavlja problem centriranja pogonskog osovinskog voda kod velikih brodova, što bi značajno utjecalo na dinamičke performanse brodskog pogonskog sustava. Kako smanjiti negativne poremećaje nastale interakcijom između vode-trupapogona i osigurati normalni rad brodskog pogonskog sustava, predstavlja pravi izazov. U tu se svrhu nizom istraživanja predlaže i ispituje novi globalni regulator kliznog modela (GSMC) za brodske sustave voda-trup-pogon kako bi se postiglo što točnije funkcioniranje upravljačkog sustava. U dijelu 1 ovoga istraživanja razvijen je upravljački mehanizam (GSMC controller) te ustanovljene granične nesigurnosti nelinearnog modela na temelju eksperimenata i pokusne plovidbe na moru. U ovom je radu uvedena gornja granica od 1,85 % u upravljanju regulatorom kliznog modela kako bi se dobio zakon o cjelokupnom upravljanju kojim bi se omogućilo sigurno upravljanje brodskim pogonskim sustavom. Numeričke simulacije na temelju parametara broda za rasuti teret pokazuju da je GSMC visoko učinkovit u praćenju brzine u usporedbi s tradicionalnim upravljačkim mehanizmom kliznog modela i upravljačkim mehanizmom Proportional Integral Derivative (PID). Dodatnim istraživanjima, prov...

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“…Numerous methods [6][7][8] have been developed to address the challenge stemming from the model uncertainties and external disturbances, which are usually termed as "lumped uncertainties" in the literature [9]. Among them, the neural-network (NN)-based adaptive control attracts plenty of attention [10,11] as the adaptive methodology [12] is able to adjust the controller parameters on-line to cope with the lumped uncertainties, while the NN-based mechanisms [13] are capable of approximating the non-linear dynamics in a linear manner.…”

Section: Introductionmentioning

confidence: 99%

Adaptive neural network control of robotic manipulators with input constraints and without velocity measurements

Zhang,

Zhao,

Wang

et al. 2024

IET Control Theory & Appl

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This paper addresses the trajectory tracking problem for a class of uncertain manipulator systems under the effect of external disturbances. The main challenges lie in the input constraints and the lack of measurements of joint velocities. An extend‐state‐observer is utilized to estimate the velocity signals; then, a neural‐network‐based adaptive controller is proposed to solve the problem, where a term based on the nominal model is included to enhance the tracking ability, and the effect of uncertainties and disturbances are compensated by a neural‐network term. Compared with the existing methods, the main distinctive features of the presented approach are: (i) The control law is guaranteed to be bounded by design, instead of directly bounded by a saturation function. (ii) The trade‐off between the performance and robustness of the presented controller can be easily tuned by a parameter that depends on the size of model uncertainties and external disturbances. By virtue of the Lyapunov theorem, the convergence properties of the proposed controller are rigorously proved. The performance of the controller is validated via both simulations and experiments conducted on a two‐degree‐of‐freedom robot manipulator.

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On-Line Supervisory Control Design for Maglev Transportation System via Total Sliding-Mode Approach and Particle Swarm Optimization

Cited by 41 publications

References 32 publications

Robust Speed Control of PMSM Using Sliding Mode Control (SMC)—A Review

Robust Speed Control of PMSM Using Sliding Mode Control (SMC)—A Review

Robust global sliding model control for water-hull-propulsion unit interaction systems - Part 2: Model validation

Adaptive neural network control of robotic manipulators with input constraints and without velocity measurements

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