Fuzzy Optimization Techniques Applied to the Design of a Digital PMSM Servo Drive

Cheng, Kuang-Yao; Tzou, Ying-Yu

doi:10.1109/tpel.2004.830036

Cited by 71 publications

(30 citation statements)

References 17 publications

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“…The sliding condition (15) guarantees that s0 as t∞. In order to derive the adaptive tuning laws for the PID gains, the supervisory gradient descent method is used to minimize the sliding condition s s T  in (15).…”

Section: A Proposed Adaptive Pid Controllermentioning

confidence: 99%

“…In order to derive the adaptive tuning laws for the PID gains, the supervisory gradient descent method is used to minimize the sliding condition s s T  in (15). The gradient descent search algorithm is calculated in the direction opposite to the energy flow, and the convergence properties of the PID gains can also be obtained.…”

Section: A Proposed Adaptive Pid Controllermentioning

confidence: 99%

“…The FLC [14], [15] is a preferred research topic due to its fuzzy reasoning capacity. However, as the number of the fuzzy rules increases, the control accuracy can get better but the control algorithm can be complex.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive PID Speed Control Design for Permanent Magnet Synchronous Motor Drives

Jung

Leu

Duc

et al. 2015

IEEE Trans. Power Electron.

267

104

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Abstract-Thispaper proposes an adaptive proportionalintegralderivative (PID) speed control scheme for permanent magnet synchronous motor (PMSM) drives. The proposed controller consists of three control terms: a decoupling term, a PID term, and a supervisory term. The first control term is employed to compensate for the nonlinear factors, the second term is made to automatically adjust the control gains, and the third one is designed to guarantee the system stability. Different from the offline-tuning PID controllers, the proposed adaptive controller includes adaptive tuning laws to online adjust the control gains based on the gradient descent method. Thus, it can adaptively deal with any system parameter uncertainties in reality. The proposed scheme is not only simple and easy to implement, but also it guarantees an accurate and fast speed tracking. It is proven that the control system is asymptotically stable. To confirm the effectiveness of the proposed algorithm, the comparative experiments between the proposed adaptive PID controller and the conventional PID controller are performed on the PMSM drive. Finally, it is validated that the proposed design scheme accomplishes the superior control performance (faster transient response and smaller steady-state error) compared to the conventional PID method in the presence of parameter uncertainties.Index Terms-Adaptive control, parameter uncertainties, PID control, surface-mounted permanent magnet synchronous motor (SPMSM). I. INTRODUCTIONN recent years, the ac motors are extensively applied in home appliances as well as industrial applications such as electric vehicles, wind generation systems, industrial robots, air conditioners, washing machines, etc. There are two main categories of the ac motors: induction motors (IMs) and permanent magnet synchronous motors (PMSMs). Nowadays, the IMs are used in about 70% of industrial electric motors due The authors are with the Division of Electronics and Electrical Engineering, Dongguk University, Seoul 100-715, Korea (E-mail: tonducdo@dongguk.edu).to their simplicity, ruggedness, and low production costs [1]- [5]. Despite that, the PMSMs are gradually taking over the IMs owing to their high efficiency, low maintenance cost, and high power density. However, the PMSM system is not easy to control because it is a nonlinear multivariable system and its performance can be highly affected by parameters variations in the run time [6]- [9]. Therefore, researchers always desire to design a high-performance controller which has a simple algorithm, fast response, high accuracy, and robustness against the motor parameter and load torque variations.Traditionally, the proportional-integral-derivative (PID) controller is widely adopted to control the PMSM systems in industrial applications owing to its simplicity, clear functionality, and effectiveness [10]. However, a big problem of the traditional PID controller is its sensitivity to the system uncertainties. Thus, the control performance of the conventional PID method can be seriou...

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Section: A Proposed Adaptive Pid Controllermentioning

confidence: 99%

Section: A Proposed Adaptive Pid Controllermentioning

confidence: 99%

See 1 more Smart Citation

Adaptive PID Speed Control Design for Permanent Magnet Synchronous Motor Drives

Jung

Leu

Duc

et al. 2015

IEEE Trans. Power Electron.

267

104

View full text Add to dashboard Cite

show abstract

“…Because the data manipulation in the PD-type FLC is based on the fuzzy set theory, the associated fuzzy sets involved in the linguistic control rules are defined as follows: According to Lyapnuov stable theory (Cheng & Tzou, 2004), if the system is stable, the conditions 2 1 0 2 f Le =≥ and ee <0 are necessary. Therefore, according to Eq.…”

Section: The Pd-type Fuzzy Logic Controllermentioning

confidence: 99%

Vision-Based Control of the Mechatronic System

Fung¹,

Chen²

2010

Visual Servoing

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“…Therefore, in recent years, many methods are used to improve the conventional PID controller and enhance the control performance [2][3][4][5][6]. Active disturbance rejection controller(ADRC) proposed by Han is one of these methods which does not rely on the precise model, and has strong robustness and adaptability [7].…”

Section: Introductionmentioning

confidence: 99%

A Cascade Linear Active Disturbance Rejection Controller for Vector Control System of PMSM

Luo¹,

Hu²,

Wang³

2015

Advances in Computer Science Research

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Abstract. Permanent magnet synchronous motor (PMSM) has been widely used in industrial fields. The conventional control method for vector control of PMSM is PID, which has some disadvantages such as large overshoot, bad robustness. In this paper, a cascade control strategy with three first-order linear active disturbance rejection controllers( LADRC) is proposed, which can achieve not only cascade control of speed and q-axis current but also decoupling of d-axis and qaxis current. In order to improve the anti-disturbance ability, a load disturbance observer(LDO) is designed for model compensation. The simulation results show that, compared with PI controller , cascade LADRC method with model compensation has advantages of no overshoot, strong robustness and anti-disturbance ability.

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Fuzzy Optimization Techniques Applied to the Design of a Digital PMSM Servo Drive

Cited by 71 publications

References 17 publications

Adaptive PID Speed Control Design for Permanent Magnet Synchronous Motor Drives

Adaptive PID Speed Control Design for Permanent Magnet Synchronous Motor Drives

Vision-Based Control of the Mechatronic System

A Cascade Linear Active Disturbance Rejection Controller for Vector Control System of PMSM

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