Speed Control of the Surface-Mounted Permanent-Magnet Synchronous Motor Based on Takagi–Sugeno Fuzzy Models

Chang, Yi‐Ping; Chen, Chien‐Hua; Zhu, Zhong-Chuan; Huang, Yiwen

doi:10.1109/tpel.2015.2504392

Cited by 62 publications

(22 citation statements)

References 23 publications

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“…To approximate the nonlinear friction, the T-S membership functions were obtained following the same procedure as presented in [40,41]. Let x 2 (t) ∈ [−ω 0 , ω 0 ], and then the nonlinear friction can be written as follows:…”

Section: Simulation Parameter Settingmentioning

confidence: 99%

Torque tracking control of electric load simulator with active motion disturbance and nonlinearity based on T‐S fuzzy model

Pan

Wang

2018

Asian Journal of Control

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This paper develops a high performance nonlinear control method for an electric load simulator (ELS). The tracking performance of the ELS is mainly affected by the actuator's active motion disturbance and friction nonlinearity. First, a nonlinear model of ELS is developed, and then the Takagi-Sugeno fuzzy model is used to represent the friction nonlinearity ofthe ELS. A state observer is constructed to estimate the speed of the load system. For converting the tracking control into a stabilization problem, a new control design called virtual desired state synthesis is proposed to define the internal desired states. External disturbances are attenuated based on an H ∞ criterion and the stability of the entire closed-loop model is investigated using the well-known quadratic Lyapunov function. Meanwhile, the feedback gains and the observer gains are obtained separately by solving a set of linear matrix inequalities (LMIs). Both a simulation and experiment were performed to validate the effectiveness of the developed algorithm. KEYWORDS T-S fuzzy modelH ∞ criterionelectric load simulator (ELS), linear matrix inequalities (LMIs), torque tracking control

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Section: Simulation Parameter Settingmentioning

confidence: 99%

Torque tracking control of electric load simulator with active motion disturbance and nonlinearity based on T‐S fuzzy model

Pan

Wang

2018

Asian Journal of Control

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“…To analyze the stability of the designed current and voltage controller, Lyapunov theorem [19] is applied to find the following LMI condition:…”

Section: Ofmentioning

confidence: 99%

Design and Implementation of the Battery Energy Storage System in DC Micro-Grid Systems

Chang

Huang

2018

Energies

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The design and implementation of the battery energy storage system in DC micro-grid systems is demonstrated in this paper. The battery energy storage system (BESS) is an important part of a DC micro-grid because renewable energy generation sources are fluctuating. The BESS can provide energy while the renewable energy is absent in the DC micro-grid. The circuit topology of the proposed BESS will be introduced. The design of the voltage controller and the current controller for the battery charger/discharger are also illustrated. Finally, experimental results are provided to validate the performance of the BESS.

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“…For the above disadvantages, the method of compensation is proposed and the reliability of the algorithm is verified. The problem of under-ranking is studied (Chang et al, 2016). It is assumed that some other parameters and mechanical parameters are fixed values and are not changed due to environmental changes.…”

Section: Literature Reviewmentioning

confidence: 99%

PMSM Parameter Identification Motor Test System Framework Based on Virtual Instrument Technology

2018

IJOMAM

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To realize the high-precision and high-efficiency parameter identification of permanent magnet synchronous motor, the parameter identification of permanent magnet synchronous motor was introduced into the servo test system. The parameter identification function of the PMSM servo system was improved while implementing the functions of the conventional test. Aiming at the complexity and limitations of the traditional permanent magnet synchronous motor parameter test method, the parameter identification algorithm and the motor test system were combined. Based on virtual instrument technology, the permanent magnet synchronous motor test platform of the tow type was adopted to realize the four-quadrant operation of the motor and the automatic test of the servo system. The variable gain Landau algorithm had good convergence speed, convergence precision and good dynamic response capability. The hardware platform of the motor test system based on PMSM parameter identification was built. The parameter identification function of permanent magnet synchronous motor was realized by the mixed programming method of LabVIEW and Matlab. The results show that the parameter identification of permanent magnet synchronous motor based on motor test platform had better identification accuracy and convergence speed.

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Speed Control of the Surface-Mounted Permanent-Magnet Synchronous Motor Based on Takagi–Sugeno Fuzzy Models

Cited by 62 publications

References 23 publications

Torque tracking control of electric load simulator with active motion disturbance and nonlinearity based on T‐S fuzzy model

Torque tracking control of electric load simulator with active motion disturbance and nonlinearity based on T‐S fuzzy model

Design and Implementation of the Battery Energy Storage System in DC Micro-Grid Systems

PMSM Parameter Identification Motor Test System Framework Based on Virtual Instrument Technology

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