ADRC and Feedforward Hybrid Control System of PMSM

Wang, Song

doi:10.1155/2013/180179

Cited by 8 publications

(6 citation statements)

References 15 publications

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“…CVSPI control is compared with the conventional PI controller, anti-windup PI (AWPI) controller proposed in the literature [27], active disturbance rejection controller (ADRC) proposed in the literature [20], and Super-twisting algorithm (STA) proposed in the literature [25] to verify the advantages of the system speed tracking response performance under CVSPI control. nw under five-speed controllers given by sinusoidal speed is shown in Figures 8a and 8c, and the error of nr vs. nw is shown in Figures 8b and 8d.…”

Section: Simulation Results and Analysismentioning

confidence: 99%

Application of Composite Variable Structure PI in the IPMSM Speed Sensorless Control System

Feng¹,

Bai²,

Zhang³

et al. 2022

Preprint

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In the speed control system of Interior Permanent Magnet Synchronous Motor (IPMSM) without a speed sensor, the speed under the traditional PI control suffers from poor tracking performance and step response overshoot. This paper proposes a Compound Variable Structure PI (CVSPI) controller to improve the system control performance. It can choose whether to include an integral term according to the size of the system deviation to speed up the response. It also introduces a Model Reference Adaptive System (MRAS) speed observer in the controller to estimate the speed and adaptively adjust the size of the anti-integration saturation gain to improve the dynamic response following performance and immunity of the system. A feed-forward link is added for a given input differential to achieve an accurate answer to time-varying inputs. As the linear compensation matrix of the conventional MRAS is a unit matrix, the speed can only be accurately observed in a specific speed range. In this paper, a new linear compensation matrix is designed, and a new speed adaptive law is derived, allowing the improved MRAS to measure speed over a wide range accurately. Simulation results validate the excellent control performance of the CVSPI and the accuracy of the enhanced MRAS over a wide speed range.

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Section: Simulation Results and Analysismentioning

confidence: 99%

Application of Composite Variable Structure PI in the IPMSM Speed Sensorless Control System

Feng¹,

Bai²,

Zhang³

et al. 2022

Preprint

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“…where , and are the existed magnetic fields in the stator winding of the direct-axis and quadrature-axis, respectively. The d-q coordinates, PMSM electromagnetic torque is [25]:…”

Section: Mathematical Model Of Pmsmmentioning

confidence: 99%

PSO based Takagi-Sugeno fuzzy PID controller design for speed control of permanent magnet synchronous motor

Ghadiri

Khodadadi

Eijei³

et al. 2021

FACTA U EE

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A permanent magnet synchronous motor (PMSM) is one kind of popular motor. They are utilized in industrial applications because their abilities included operation at a constant speed, no need for an excitation current, no rotor losses, and small size. In the following paper, a fuzzy evolutionary algorithm is combined with a proportional-integral-derivative (PID) controller to control the speed of a PMSM. In this structure, to overcome the PMSM challenges, including nonlinear nature, cross-coupling, air gap flux, and cogging torque in operation, a Takagi-Sugeno fuzzy logic-PID (TSFL-PID) controller is designed. Additionally, the particle swarm optimization (PSO) algorithm is developed to optimize the membership functions' parameters and rule bases of the fuzzy logic PID controller. For evaluating the proposed controller's performance, the genetic algorithm (GA), as another evolutionary algorithm, is incorporated into the fuzzy PID controller. The results of the speed control of PMSM are compared. The obtained results demonstrate that although both controllers have excellent performance; however, the PSO based TSFL-PID controller indicates more superiority.

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“…However, MPC is complicated in calculation, and the real-time performance of the algorithm has been challenged [55]. As another promising option, active disturbance rejective control (ADRC) [56,57] is a kind of lightweight calculation with a simple design and anti-interference strategy. The first discussion of ADRCs was presented by Han [58] and was elaborated upon by Han et al [59,60].…”

Section: Related Workmentioning

confidence: 99%

HFO-LADRC Lateral Motion Controller for Autonomous Road Sweeper

Zeng

Liu

et al. 2020

Sensors

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How to make a controller robust and stable to reject the disturbance of uncertainty is an inevitable challenge. Aiming at addressing the lateral control problem for an autonomous road sweeper, a heading-error-based first order linear active disturbance rejective controller (HFO-LADRC) is proposed in this paper. To eliminate the lateral error and the heading error at the same time, a new model, called the heading-error-based model, is proposed for lateral motion, and the Lyapunov function was employed to explore the convergence ability of the heading error and lateral error. Since the heading-error-based model is first order, the ADRC is designed as first order and linear, and each module of the HFO-LADRC has been devised in detail. To ensure solution accuracy, the fourth order Runge–Kutta method was adopted as the differential system solver, and a typical ring scenario and a double lane-changing scenario were designed referencing the standard. Considering the obvious influence, wheelbase uncertainty, steering ratio uncertainty and Gaussian white noise disturbance were taken into account for the tests. The results illustrate that, in the case of both wheelbase uncertainty and steer ratio uncertainty, the HFO-LADRC has strong robustness and stability compared with a typical pure pursuit controller and classical SO-LADRC.

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ADRC and Feedforward Hybrid Control System of PMSM

Cited by 8 publications

References 15 publications

Application of Composite Variable Structure PI in the IPMSM Speed Sensorless Control System

Application of Composite Variable Structure PI in the IPMSM Speed Sensorless Control System

PSO based Takagi-Sugeno fuzzy PID controller design for speed control of permanent magnet synchronous motor

HFO-LADRC Lateral Motion Controller for Autonomous Road Sweeper

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