Neuroadaptive Robust Speed Control for PMSM Servo Drives with Rotor Failure

In this paper, a neuroadaptive robust trajectory tracking controller is utilized to reduce speed ripples of permanent magnet synchronous machine (PMSM) servo drive under the presence of a fracture or fissure in the rotor and external disturbances. The dynamics equations of PMSM servo drive with the presence of a fracture and unknown frictions are described in detail. Due to inherent nonlinearities in PMSM dynamic model, in addition to internal and external disturbances; a traditional PI controller with fixed parameters cannot correctly regulate the PMSM performance under these scenarios. Hence, a neuroadaptive robust controller (NRC) based on a category of on-line trained artificial neural network is used for this purpose to enhance the robustness and adaptive abilities of traditional PI controller. In this paper, the moth-flame optimization algorithm provides the optimal weight parameters of NRC and three PI controllers (off-line) for a PMSM servo drive. The performance of the NRC is evaluated in the presence of a fracture, unknown frictions, and load disturbances, likewise the result outcomes are contrasted with a traditional optimized PID controller and an optimal linear state feedback method.

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A DSP-based fully digital PMSM servo drive using on-line self-tuning PI controller

Proceedings IPEMC 2000. Third International Power Electronics and Motion Control Conference (IEEE Cat. No.00EX435) ◽

10.1109/ipemc.2000.884655 ◽

2002 ◽

Cited By ~ 6

Author(s):

Bin Zhang ◽

Yaohua Li ◽

Yansheng Zuo

Keyword(s):

Pi Controller ◽

Servo Drive ◽

Self Tuning ◽

On Line

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Influence of different fuzzy operators on analytical structure and variable gains of typical interval type-2 fuzzy PI controller

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-200334 ◽

2020 ◽

Vol 39 (3) ◽

pp. 4319-4329

Author(s):

Haibo Zhou ◽

Chaolong Zhang ◽

Shuaixia Tan ◽

Yu Dai ◽

Ji’an Duan ◽

...

Keyword(s):

Pi Controller ◽

Real Time Control ◽

Fuzzy Operators ◽

Fuzzy Operator ◽

Analytical Structure ◽

Product Operator ◽

Pi Controllers ◽

Fuzzy Pi Controller ◽

Interval Type

The fuzzy operator is one of the most important elements affecting the control performance of interval type-2 (IT2) fuzzy proportional-integral (PI) controllers. At present, the most popular fuzzy operators are product fuzzy operator and min() operator. However, the influence of these two different types of fuzzy operators on the IT2 fuzzy PI controllers is not clear. In this research, by studying the derived analytical structure of an IT2 fuzzy PI controller using typical configurations, it is proved mathematically that the variable gains, i.e., proportional and integral gains of typical IT2 fuzzy PI controllers using the min() operator are smaller than those using the product operator. Moreover, the study highlights that unlike the controllers based on the product operator, the controllers based on the min() operator have a simple analytical structure but provide more control laws. Real-time control experiments on a linear motor validate the theoretical results.

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Non Linear State and Parameters Estimation in Chemical Processes: Analysis and Improvement of Three Estimation Structures Applied to a CSTR

International Journal of Chemical Reactor Engineering ◽

10.1515/1542-6580.2439 ◽

2011 ◽

Vol 9 (1) ◽

Cited By ~ 3

Author(s):

Héctor Botero ◽

Hernán Álvarez

Keyword(s):

Parameter Estimation ◽

Chemical Process ◽

Chemical Processes ◽

The State ◽

Convergence Speed ◽

Parameters Estimation ◽

State Variables ◽

Input Output ◽

On Line ◽

Linear State

This paper proposes a new composite observer capable of estimating the states and unknown (or changing) parameters of a chemical process, using some input-output measurements, the phenomenological based model and other available knowledge about the process. The proposed composite observer contains a classic observer (CO) to estimate the state variables, an observer-based estimator (OBE) to obtain the actual values of the unknown or changing parameters needed to tune the CO, and an asymptotic observer (AO) to estimate the states needed as input to the OBE. The proposed structure was applied to a CSTR model with three state variables. With the proposed structure, the concentration of reactants and other CSTR parameters can be estimated on-line if the reactor and jacket temperatures are known. The procedure for the design of the proposed structure is simple and guarantees observer convergence. In addition, the convergence speed of state and parameter estimation can be adjusted independently.

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Robust Controller Design for Systems with Non-Stationary Variations of Parameters and Bounded External Disturbances *

2020 24th International Conference on System Theory, Control and Computing (ICSTCC) ◽

10.1109/icstcc50638.2020.9259758 ◽

2020 ◽

Author(s):

V. N. Chestnov ◽

D. V. Shatov

Keyword(s):

Controller Design ◽

Robust Controller ◽

External Disturbances ◽

Robust Controller Design

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Designing a GA-Based Robust Controller For Load Frequency Control (LFC)

Engineering, Technology & Applied Science Research ◽

10.48084/etasr.1592 ◽

2018 ◽

Vol 8 (2) ◽

pp. 2633-2639 ◽

Cited By ~ 1

Author(s):

K. Soleimani ◽

J. Mazloum

Keyword(s):

Power Systems ◽

Power System ◽

Power Plants ◽

Frequency Control ◽

Load Frequency Control ◽

System Stability ◽

Robust Controller ◽

Power Flux ◽

Pi Controllers ◽

Multiple Units

Power systems include multiple units linked together to produce constantly moving electric power flux. Stability is very important in power systems, so controller systems should be implemented in power plants to ensure power system stability either in normal conditions or after the events of unwanted inputs and disorder. Frequency and active power control are more important regarding stability. Our effort focused on designing and implementing robust PID and PI controllers based on genetic algorithm by changing the reference of generating units for faster damping of frequency oscillations. Implementation results are examined on two-area power system in the ideally state and in the case of parameter deviation. According to the results, the proposed controllers are resistant to deviation of power system parameters and governor uncertainties.

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Intelligent Synchronous Control for Gantry Position Stage

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.620.317 ◽

2014 ◽

Vol 620 ◽

pp. 317-320

Author(s):

Po Huan Chou ◽

Faa Jeng Lin ◽

Wen Chuan Chen ◽

Ying Min Chen

Keyword(s):

External Disturbance ◽

Back Propagation ◽

Field Oriented Control ◽

Servo Drive ◽

Control Approach ◽

Synchronous Control ◽

Linear Motors ◽

On Line ◽

On Line Learning ◽

Servo Drive System

A cross-coupled proportional-integral-derivative neural network (PIDNN) control is proposed in this study for the synchronous control of a dual linear motors servo system which is installed in a gantry position stage. First, the dynamics of the field-oriented control PMLSM servo drive with a lumped uncertainty, which contains parameter variations, external disturbance and friction force, is introduced. Then, to achieve accurate trajectory tracking performance with robustness, an intelligent control approach using PIDNN is proposed for the field-oriented control PMLSM servo drive system. In the proposed approach, the on-line learning algorithms of the PIDNN are derived using back-propagation (BP) method to guarantee the convergence of the network. Finally, some experimental results are illustrated to depict the validity of the proposed control approach.

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Disturbance Observer-Based Nonsingular Terminal Sliding Mode Control for Spacecraft Electromagnetic Docking

International Journal of Aerospace Engineering ◽

10.1155/2020/8887699 ◽

2020 ◽

Vol 2020 ◽

pp. 1-20

Author(s):

Jinghui Zhang ◽

Guoqiang Zeng ◽

Shifeng Zhang

Keyword(s):

Sliding Mode Control ◽

Magnetic Moment ◽

Disturbance Observer ◽

Field Model ◽

Sliding Mode ◽

Far Field ◽

Model Uncertainties ◽

External Disturbances ◽

Control Scheme ◽

On Line

This paper presents a novel nonlinear sliding mode control scheme that combines on-line model modification, a nonlinear sliding mode controller, and a disturbance observer to solve the essential problems in spacecraft electromagnetic docking control, such as model uncertainties, unknown external disturbances, and inherent strong nonlinearity and coupling. An improved far-field model of electromagnetic force which is much more accurate than the widely used far-field model is proposed to enable the model parameters to be on-line self-adjusting. Then, the relationship between magnetic moment allocation and energy consumption is derived, and the optimal direction of the magnetic moment vector is obtained. Based on the proposed improved far-field model and the research results of magnetic moment allocation law, a fast-nonsingular terminal mode controller driven by a disturbance observer is designed in the presence of model uncertainties and external disturbances. The proposed control method is guaranteed to be chattering-free and to possess superior properties such as finite-time convergence, high-precision tracking, and strong robustness. Two simulation scenarios are conducted to illustrate the necessity of modifying the far-field model and the effectiveness of the proposed control scheme. The simulation results indicate the realization of electromagnetic soft docking and validate the merits of the proposed control scheme. In the end of this paper, some conclusions are drawn.

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A novel on-line auto-tuning PI controller for the superheat of evaporator with electronic expansion valve

2017 Chinese Automation Congress (CAC) ◽

10.1109/cac.2017.8244137 ◽

2017 ◽

Author(s):

Xudong Ding ◽

Jing Wang ◽

Peiyong Duan ◽

Chenjie Yin ◽

Fan Zhang

Keyword(s):

Pi Controller ◽

Expansion Valve ◽

On Line ◽

Auto Tuning

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Extended State Observer Based Ascent Trajectory Tracking Method

Volume 9: 13th ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications ◽

10.1115/detc2017-67131 ◽

2017 ◽

Author(s):

Wenming Nie ◽

Huifeng Li ◽

Ran Zhang ◽

Bo Liu

Keyword(s):

Trajectory Tracking ◽

Control Method ◽

State Observer ◽

Linearization Method ◽

Extended State Observer ◽

Extended State ◽

External Disturbances ◽

Modeling Uncertainties ◽

Trajectory Tracking Controller ◽

Linearization Errors

The ascent trajectory tracking problem of a launch vehicle is investigated in this paper. To improve the conventional trajectory linearization method which usually omits the linearization errors, the extended state observer (ESO) is employed in this paper to timely estimate the total disturbance which consists of the external disturbances and the modeling uncertainties resulting from linearization error. It is proven that the proposed trajectory tracking controller can guarantee the desired performance despite both external disturbances and the modeling uncertainties. Moreover, compared with the conventional linearization control method, the proposed controller is shown to have much better performance of uncertainty rejection. Finally, the feasibility and performance of this controller are illuminated via simulation studies.

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