Online Current Loop Tuning for Permanent Magnet Synchronous Servo Motor Drives with Deadbeat Current Control

You, Zih-Cing; Huang, Caihong; Yang, Sheng‐Ming

doi:10.3390/en12183555

Cited by 7 publications

(4 citation statements)

References 25 publications

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“…And the PID parameters are adjusted by the fuzzy PID controller outputs K p , K i and K d to correct the PWM generation frequency, controlling the DC motor speed, which can effectively suppress the speed fluctuation, improving the anti-interference ability during operation and ensuring the quality of operation [33,34] . As the inner loop, the current loop uses the speed loop as output, while the current information feedback and commutation information as inputs to offset load rotation and power supply fluctuations to ensure stable motor dynamic performance [35] .…”

Section: Design Of Improved Fuzzy Pid Dual-loop Control Systemmentioning

confidence: 99%

Design of motor-driven precision seed-metering device with improved fuzzy PID controller for small peanut planters

Shang

et al. 2023

International Journal of Agricultural and Biological Engineering

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Traditional passive ground wheel drive of peanut planters has displayed poor high-speed seeding performance and the slippage caused in case of sticky and wet soil. Given this, an integrated electric-driven precision seed metering device and controller were designed, which features the application of improved fuzzy PID algorithm. Based on a small peanut planter with one ridge width and duplicate rows, the servo motor drive is used to replace the traditional passive ground wheel. In addition, the satellite speed measurement is employed to complete the electric driving and controlling modification of the seed meter and precise seeding control. A working process mathematical model for the peanut metering device was established to conduct motor speed and field tests which aim at comparing performances between the conventional and the improved fuzzy PID controls. The motor speed trial shows that the average error of the actual speed of the improved fuzzy PID motor was ±1 rad/min, and the coefficient of variation was less than 1%. Against the conventional one, it can better suppress overshoot and improve the response speed. The stable output speed can still be obtained even in case of step changes. Field tests show that when working at medium and low speeds, the qualified rate of plant spacing was greater than 98%, and the rate of missed sowing is <2%; while working at high speed, the qualified rate was greater than 94%, and the rate of missed sowing was less than 4%. The average plant spacing qualification rate of the seed device increased by 6.72%; compared with other electric-driven peanut seed meters, the plant spacing qualification rate increased by 4% during high-speed sowing. In summary, this study has provided an effective technical reference for high-speed precision planting of peanuts.

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Section: Design Of Improved Fuzzy Pid Dual-loop Control Systemmentioning

confidence: 99%

Design of motor-driven precision seed-metering device with improved fuzzy PID controller for small peanut planters

Shang

et al. 2023

International Journal of Agricultural and Biological Engineering

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“…The author of [22] proposed a method of error feedback compensation based on the application of vector prediction to further improve deadbeat control. The authors of [23] proposed a fast online current loop tuning method to solve the problem of accurate current control. In [24], current ripples of a surface-mounted PMSM were effectively reduced by applying two voltage vectors during the control period, instead of one voltage vector, as in conventional MPCC.…”

Section: Introductionmentioning

confidence: 99%

Finite Control Set Model-Free Predictive Current Control of a Permanent Magnet Synchronous Motor

Yang

et al. 2022

Energies

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In this paper, a finite control set model-free predictive current control (FCS-MFPCC) of a permanent magnet synchronous motor is presented. The control scheme addresses the problems of large current fluctuation and decline of the motor system performance during parameter perturbation for the traditional finite control set model predictive current control (FCS-MPCC). Firstly, the mathematical model of the motor is analyzed and derived during parameter perturbation, and a new hyperlocal model of the motor is established based on this mathematical model. Secondly, a finite control set model-free predictive current controller is designed based on the new hyperlocal model, and a current error correction factor is introduced to correct the prediction error. Meanwhile, the stability of the observer is demonstrated via the Lyapunov theory. The simulation results show that the proposed control strategy reduces current fluctuation compared with the FCS-MPCC strategy, and the system is robust during parameter perturbation.

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“…This paper therefore proposes a multivariable DB control for power electronics converters in order to regulate all system variables in a single predictive loop, from ac currents, to the dc voltage, and the active and reactive powers, [35][36][37][38]. As a case study, the full control of a standard three-phase grid connected converter has been chosen to demonstrate the proposed control approach and to validate its performance.…”

Section: Introductionmentioning

confidence: 99%

Multivariable Deadbeat Control of Power Electronics Converters with Fast Dynamic Response and Fixed Switching Frequency

et al. 2021

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Power converters have turned into a critical and every-day solution for electric power systems. In fact, the incorporation of renewable energies has led towards the constant improvement of power converter topologies and their controls. In this context, over the last 10 years, model predictive control (MPC) is positioned as one the most studied and promising alternatives for power converter control. In voltage source inverters (VSI), MPC has only been applied in the inner current control loop, accelerating and improving its dynamic response, but as mentioned, has been limited only to the current control loop. The fastest of the MPC techniques is the Deadbeat (DB) control, and in this paper, it is proposed to employ DB control on the entire system, therefore accelerating the time response not only for the current loops, but also for voltage loops. At the same time, this avoids overshoots and overpower in order to protect the power converter, leading to the fastest dynamic response according to VSI capabilities. For renewable energies, fast-dynamics entails fast maximum power tracking and therefore, maximizes energy harvesting, or in other words, reduces the losses due to the control dynamics. Thus, this paper gives a clear procedure and key points for designing a DB control for all the variables based on a mathematical model, which is corroborated by simulations and the experimental results.

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Online Current Loop Tuning for Permanent Magnet Synchronous Servo Motor Drives with Deadbeat Current Control

Cited by 7 publications

References 25 publications

Design of motor-driven precision seed-metering device with improved fuzzy PID controller for small peanut planters

Design of motor-driven precision seed-metering device with improved fuzzy PID controller for small peanut planters

Finite Control Set Model-Free Predictive Current Control of a Permanent Magnet Synchronous Motor

Multivariable Deadbeat Control of Power Electronics Converters with Fast Dynamic Response and Fixed Switching Frequency

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