Improved Fractional-Order PID Controller of a PMSM-Based Wave Compensation System for Offshore Ship Cranes

Chen, Hao; Wang, Xin; Benbouzid, Mohamed; Charpentier, Jean-Frédéric; Aït-Ahmed, Nadia; Han, Jingang

doi:10.3390/jmse10091238

Cited by 11 publications

(5 citation statements)

References 29 publications

(27 reference statements)

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“…Observations from Figure 10a-c reveal that when "sgn" equaled 1, the coordinate value decreased, while it increased when "sgn" equaled 0, aligning with the foraging behavior of beetles. Additionally, the beetle's final position coordinates gradually stabilized, matching the implications of Equation (7). Hence, these outcomes substantiate the correct functionality of the beetle position updating module.…”

Section: Hardware Simulation Of Pmsm Control Systemsupporting

confidence: 63%

“…To address these issues, several studies have been performed. For example, sliding mode control [2], a model reference adaptive system [3], model predictive control [4], the Extended Kalman Filter [5], and intelligent optimization algorithms [6][7][8] have been investigated. These techniques are aimed at achieving motor speed control with a minimal overshoot and a rapid response.…”

Section: Introductionmentioning

confidence: 99%

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FPGA-Based Speed Control Strategy of PMSM Using Improved Beetle Antennae Search Algorithm

Wu,

Zhang,

Zhang

2024

Energies

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To improve performance in terms of overshoot and motor response speed when a permanent-magnet synchronous motor (PMSM) with a proportional–integral (PI) controller is subjected to external disturbances, this paper proposes a speed control strategy based on an enhanced Beetle Antennae Search algorithm, which allows for adjustable parameters of the PI controller within a certain range. Firstly, to enhance the global and local search capabilities of each individual beetle, the step size was improved by linearly decreasing it. Secondly, a simulation model of a PMSM closed-loop control system was built to verify the effectiveness of the improved Beetle Antennae Search (BAS) algorithm. Finally, a linear feedback shift register model that generates four random numbers was developed on a field-programmable gate array (FPGA). The improved BAS algorithm for the PMSM control system was implemented on an FPGA using the Verilog hardware description language, and the feasibility of the system was verified through hardware simulation. Additionally, the hardware resource consumption on different FPGA platforms was analyzed. The simulation results demonstrate that the proposed new speed control strategy can reduce the overshoot and improve the motor response speed.

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Section: Hardware Simulation Of Pmsm Control Systemsupporting

confidence: 63%

Section: Introductionmentioning

confidence: 99%

FPGA-Based Speed Control Strategy of PMSM Using Improved Beetle Antennae Search Algorithm

Wu,

Zhang,

Zhang

2024

Energies

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“…Cable-driven parallel mechanisms (CDPMs) are widely used in engineering fields such as building construction, 3D printing, astronomical telescopes, lifting systems, and underwater tension leg platforms [1][2][3][4]. Compared with rigid link parallel mechanisms, CDPMs employ flexible cables as force transmission and position constraint parts to manipulate an end-effector over a feasible workspace, which leads to higher load-to-weight ratios [5][6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Robust Adaptive Backstepping Motion Control of Underwater Cable-Driven Parallel Mechanism Using Improved Linear Model Predictive Control

Zhao

Qin

et al. 2023

JMSE

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This paper proposes a novel motion-tracking control methodology for an underwater cable-driven parallel mechanism (CDPM) that achieves calculation of dynamic tension constraint values, tension planning, parameter linearization, and motion tracking. The control objective is divided into three sub-objectives: motion tracking, horizontal displacement suppression, and cable-tension restriction. A linear model predictive control (LMPC) method is designed to plan cable tensions for motion-tracking and displacement suppression. The robust adaptive backstepping controller converts cable tension into winch speed based on the joint-space method and command filtering. Moreover, the X−swapping method is used to linearize and identify the time−varying nonlinear parameters. An essential prerequisite for restricting cable tension is to obtain cable-tension constraint values. A novel dynamic minimum tension control (DMTC) method, based on the equivalent control concept, is proposed for this aim. The DMTC can adaptively obtain the lower cable-tension threshold through the platform posture and motion status, anchor distribution position, and cable integrity status. Compared to traditional fixed tension constraint values, DMTC can more effectively cope with sudden changes in cable tension than fixed tension constraints. Finally, several simulations are carried out to verify the effectiveness and robustness of the proposed approach.

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“…However, the permanent-magnet synchronous motor is a typical nonlinear and strongly coupled system [4,5], which is difficult to described with an accurate mathematical model. The permanent-magnet synchronous motor is susceptible to various load changes, external sea state changes and parameter changes, and the long-term operation of the motor system in a high-salt, high-temperature, and high-humidity marine environment will lead to problems such as the reduction of sensor accuracy [6,7]. The traditional PI control method cannot meet the requirements of high-performance control of marine propulsion motors; so, it is necessary to use nonlinear controllers to improve their tracking and anti-disturbance capabilities.…”

Section: Introductionmentioning

confidence: 99%

Active Disturbance Rejection Control Method for Marine Permanent-Magnet Propulsion Motor Based on Improved ESO and Nonlinear Switching Function

Guo,

Xiang,

Liu

et al. 2023

JMSE

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In the control of marine permanent-magnet propulsion motors, active disturbance rejection control has attracted much attention because it can deal with external load disturbances and uncertainties of motor parameters at the same time. However, the conventional second-order ADRC has the problem of slow disturbance observation speed. To this end, this paper proposes an improved third-order extended state observer using the proportional–integral disturbance update law to improve the tracking performance and anti-external disturbance ability of the motor control system. Then, aiming at the problem that the structure does not effectively use the current information, resulting in large speed fluctuations when the load changes, the measured value of the q-axis current is used as the disturbance feedforward compensation item to further improve the load disturbance suppression ability of the motor. Finally, in order to suppress the influence of the current periodic disturbance caused by unmodeled dynamics on the steady-state accuracy of the motor, a nonlinear switching function with bounded gain and an IIR low-pass filter are designed to suppress the periodic disturbance without affecting the dynamic performance of the system. Combined with the established ship propeller load model, the effectiveness of the method is verified on the motor experimental platform: When suddenly changing 75% of the propeller load, the motor speed decreases by about 20%, and the adjustment time is 0.1 s, which improves the performance by more than 70% compared to PI control and conventional ADRC methods.

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Improved Fractional-Order PID Controller of a PMSM-Based Wave Compensation System for Offshore Ship Cranes

Cited by 11 publications

References 29 publications

FPGA-Based Speed Control Strategy of PMSM Using Improved Beetle Antennae Search Algorithm

FPGA-Based Speed Control Strategy of PMSM Using Improved Beetle Antennae Search Algorithm

Robust Adaptive Backstepping Motion Control of Underwater Cable-Driven Parallel Mechanism Using Improved Linear Model Predictive Control

Active Disturbance Rejection Control Method for Marine Permanent-Magnet Propulsion Motor Based on Improved ESO and Nonlinear Switching Function

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