A new fuzzy active-disturbance rejection controller applied in PMSM position servo system

Gai, Jiangtao; Huang, Shoudao; Huang, Qing; Li, Mengqiu; Wang, Hui; Luo, Derong; Wu, Xuan; Liao, Wu

doi:10.1109/icems.2014.7013842

Cited by 17 publications

(13 citation statements)

References 9 publications

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“…The ADRC was proposed to improve the current response by compensating time delay and implementing the high performance motion control [4]. Meanwhile, it can ensure the ability of the anti-load disturbances [5], and decrease inhibit uncertain factors influences for the controlled object [6]. In [7], The ADRC was designed to realize the adaptive parameters adjustment according to the inertia information, and achieve the closed-loop control of PMSM, which simplifies the computational complexity.…”

Section: Introductionmentioning

confidence: 99%

Deadbeat control of permanent magnet synchronous motor based on sliding active disturbance rejection controller

Tang¹,

Zhao

2015

2015 18th International Conference on Electrical Machines and Systems (ICEMS)

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Due to its high effiency and high power density, the permanent magnet synchronous motor (PMSM) widely is used in servo drive systems. However, the PMSM position loop is vulnerable to be affected by the uncertainties of motor parameter variations and load disturbances. This paper proposes a new deadbeat control strategy for PMSM, in which a sliding active disturbance rejection controller is adopted. When the moment of inertia and the load is used as a disturbance and the rotor angle is used as state variables, sliding mode extended state observer can be developed, which provides a high frequency channel for the high frequency component. It reduces the chattering effect and compensates the system losses due to disturbance. So, the proposed control system has strong robustness to the internal disturbance, external disturbance and parameter variation. Also, the deadbeat voltage control law is obtained. Simulated results are given for verification.

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Section: Introductionmentioning

confidence: 99%

Deadbeat control of permanent magnet synchronous motor based on sliding active disturbance rejection controller

Tang¹,

Zhao

2015

2015 18th International Conference on Electrical Machines and Systems (ICEMS)

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“…In order to achieve high tracking accuracy and excellent dynamic performance, a novel and effective strategy is required to resolve the conflicts between the tracking accuracy and robustness of the servo control system. Fortunately, the active disturbance rejection control (ADRC) technique is a new type method, which has been successfully applied to the motor drive system for many years [8,[22][23][24][25]. ADRC has many advantages, including high robust, fast response speed and good control precision, which can be designed without accurate mathematics model.…”

Section: Introductionmentioning

confidence: 99%

“…However, more than about ten parameters of an ADRC controller should be adjusted to achieve good control performances and strong robustness during the control process, which result in poor operation. Nowadays, the ADRC-based control solutions for PMSM have been reported in many control research literatures, like sliding mode-adaptive disturbance rejection control, fuzzyadaptive disturbance rejection control, and so on [13,25].…”

Section: Introductionmentioning

confidence: 99%

Passivity‐Based Control for Rocket Launcher Position Servo System Based on ADRC Optimized by IPSO‐BP Algorithm

Wang

Hou

et al. 2018

Shock and Vibration

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In order to achieve better motion accuracy and higher robustness of the shipborne rocket launcher position servo system driven by a permanent magnet synchronous motor (PMSM), a passivity-based controller based on active disturbance rejection control (ADRC) optimized by improved particle swarm optimization-back propagation (IPSO-BP) algorithm is proposed in this paper. The convenient method of interconnection and damping assignment and passivity-based control (IDA-PBC) is adopted to establish the port controlled Hamiltonian system with dissipation (PCHD) model of PMSM. To further enhance the robustness and adaptability of traditional ADRC, an BP algorithm is introduced to on-line update the proportional, integral, and derivative gains of ADRC. Furthermore, to improve the learning capability, the improved PSO algorithm is adopted to optimize the learning rates of the back propagation neural networks. The results of numerical simulation and prototype test indicate that the proposed IPSO-BP-ADRC-PBC controller has better static and dynamic performance than the ADRC-PBC and BP-ADRC-PBC controller with fixed learning rate.

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“…7,8 Along with the development of nonlinear theory, various effective control theories have already been investigated for the position servo system of PMSM, such as sliding mode control, fuzzy-sliding mode control, nonlinear sliding mode control, passivity-based control (PBC), adaptive control, predictive functional control, explicit model predictive control, iterative learning control, robust control, and recurrent Elman neural network. [9][10][11][12][13][14][15][16][17][18][19] However, the above-mentioned advanced control methods have the merits and drawbacks, respectively, which can significantly improve the robustness of control system, but at the expense of its motion accuracy. For instance, the robustness of sliding mode control comes at the cost of the well-known chattering and the phase delay.…”

Section: Introductionmentioning

confidence: 99%

“…Then, the ADRC-based control schemes for PMSM have been reported in the control research literatures, such as fuzzy-adaptive disturbance rejection control and sliding mode-adaptive disturbance rejection control. 7,13 Ortega et al 23 first developed a new PBC theory, which is called interconnection and damping assignment and passivity-based control (IDA-PBC). Petrovic et al 24 first applied the IDA-PBC controller for PMSMs.…”

Section: Introductionmentioning

confidence: 99%

Passivity-based control for rocket launcher position servo system based on improved active disturbance rejection technology

Wang

Hou

et al. 2018

Advances in Mechanical Engineering

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In order to achieve high motion accuracy and better robustness of the rocket launcher position servo system driven by a permanent magnet synchronous motor, a passivity-based controller based on improved active disturbance rejection control is proposed in this article. The convenient method of interconnection and damping assignment and passivitybased control is adopted to establish the port-controlled Hamiltonian system with dissipation model of permanent magnet synchronous motor. To further enhance the robustness and adaptability of the traditional active disturbance rejection controller, an improved active disturbance rejection control strategy-based radical basis function neural network is introduced to on-line update the proportional and derivative gains of improved active disturbance rejection controller. The results of numerical simulation and bench test indicate that the proposed improved active disturbance rejection control passivity-based control algorithm has advantages of smaller overshoot, fast response, small steady-state error, and strong robustness. It proves that the proposed control scheme is effective and suitable.

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A new fuzzy active-disturbance rejection controller applied in PMSM position servo system

Cited by 17 publications

References 9 publications

Deadbeat control of permanent magnet synchronous motor based on sliding active disturbance rejection controller

Deadbeat control of permanent magnet synchronous motor based on sliding active disturbance rejection controller

Passivity‐Based Control for Rocket Launcher Position Servo System Based on ADRC Optimized by IPSO‐BP Algorithm

Passivity-based control for rocket launcher position servo system based on improved active disturbance rejection technology

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