State Feedback Control for a PM Hub Motor Based on Gray Wolf Optimization Algorithm

Many application fields need motors that could output large torque in a short span of time such as missile and aircraft, but larger torque needs larger volume that could influence the system performance. Therefore, promoting the motor's maximum torque with small volume is the new challenge for motors. So, this paper presents a method for analyzing maximum electromechanical torque (with rate speed) of PMSM without the consideration of thermal effect produced by copper loss. This paper also discusses the factors that influence maximum torque of PMSM under the condition of i d = 0 control mode. A function between motor torque and the inner parameters is first obtained under the constraint of electrical and magnetic saturation. For verifying the accuracy of the function and its results, the characteristics of the series motors with different inner parameters that are obtained in the function are testified by finite element method (FEM) software. Finally, a prototype motor is selected to be manufactured to verify the analysis result. Based on the torque experiments result, it could verify the accuracy of the function that describes the rule of PMSM maximum torque. Based on FEM software and prototype test verifying, the method could supply the theoretical support for PMSM maximum torque design. INDEX TERMS Permanent magnet machines, finite element analysis, numerical analysis, torque.

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“…Then, applying all the coefficients and (14) into (5), the function of the current is obtained as shown in (15).…”

Section: B Ultimate Power Analysis Of Pmsmmentioning

confidence: 99%

“…1, under the special control mode, that the motor inner parameters limit the voltage and current, so the motor output characteristics are under the range of the controller allowance. Many researchers presented different method to improve the motor maximum torque and dynamic performance [15], [16].…”

Section: Introductionmentioning

confidence: 99%

Investigation on Maximum Electromagnetic Torque of Permanent-Magnet Synchronous Machines

et al. 2020

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“…Although DTC is preferred over FOC owing to its simplicity and better torque control in steady-and transientstate conditions, some limitations such as high torque ripple [8], variable switching frequency behavior, and problems at low-speed operation still exist. Numerous methods have been proposed to mitigate the shortcomings of these control strategies [9]- [14].…”

Section: Introductionmentioning

confidence: 99%

Predictive Torque Control With Simple Duty-Ratio Regulator of PMSM for Minimizing Torque and Flux Ripples

2020

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In this paper, a new method for reducing the ripples of torque and flux is proposed for the predictive torque control (PTC) of permanent magnet synchronous motors. The conventional PTC uses equations to analyze the relationship between the electrical torque and voltage with a fixed magnitude of reference voltage. Consequently, flux and torque ripples increase significantly at low-speed operation. This paper proposes an improved PTC algorithm using a simple duty-ratio regulator. The proposed method will minimize the torque error by calculating an appropriate torque minimization function to mitigate the induced torque and flux ripple at low speed operation. This torque minimization function is synthesized into the space vector pulse-width modulation block to reduce the torque ripple induced owing to the fixed time duration. The proposed scheme considerably reduces the torque and flux ripples and establishes a fast-dynamic response of the torque in the transient state. Simulation and experimental results show that the proposed method achieves a more efficient steady-state performance and a faster step response compared with the conventional PTC.

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“…With the development of the global economy, the consumption of fossil fuels has increased rapidly. Unfortunately, as a non-renewable energy source, fossil fuels have been consumed on a large scale by humans for the past two hundred years, and they are facing a depletion crisis [1]- [3]. In addition, the massive burning of fossil fuels causes air pollution, releases harmful substances such as sulphur dioxide, and aggravates the greenhouse effect.…”

Section: Introductionmentioning

confidence: 99%

“…where A 11 = (32c 3 (1 +ε(F (ε) − 1))(1 + r) − a 11 , a 11 = 8c 2 (4ε 2 (1 +F (ε)), A 12 = 4(−1 + b)(1 + r) +ε(b(−1 +F (ε))(1 + r), A 13 = 4(1 +F (ε) + (−1 +F (ε))r)))σ 2 ,…”

mentioning

confidence: 99%

Optimization of the Biofuel Supply Chain With Capital-Constrained Farmers Under Government Subsidies

Xie

Cai

et al. 2020

IEEE Access

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China's biofuel industry faces the problem of insufficient supply of biomass feedstock because farmers lack the funds to carry out their planting plans. Moreover, natural disasters can easily expose farmers to bankruptcy risks, making it difficult for farmers with limited capital to obtain financing from banks. This paper studies the government's subsidy programmes for helping farmers obtain financing: a poverty alleviation programme (PAP) and a social welfare programme (SWP). We construct a biofuel supply chain model including the government, the bank, farmers, and companies, which optimizes the biomass feedstock production and the government subsidy in different subsidy programmes. We find that high planting efficiency leads to a lower subsidy interest rate for farmers in PAP, while in SWP, high planting efficiency can promote the government to set higher subsidy interest rate when the competitive intensity between bioenergy companies is weak. Furthermore, the total biomass feedstock planting area and the optimal subsidy interest rate in SWP are larger (smaller) than those under PAP when the planting efficiency is higher (lower) than a certain threshold. An extension of our model shows that the government's subsidy policy for the farmer with financial constraints will reduce the benefits of the farmer who does not need to borrow from the bank. The government's failure to implement subsidy programmes can sometimes lead to a higher total income for farmers. INDEX TERMS Supply chain finance, biofuel supply chain, yield uncertainty, government subsidy.

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State Feedback Control for a PM Hub Motor Based on Gray Wolf Optimization Algorithm

Cited by 166 publications

References 40 publications

Investigation on Maximum Electromagnetic Torque of Permanent-Magnet Synchronous Machines

Investigation on Maximum Electromagnetic Torque of Permanent-Magnet Synchronous Machines

Predictive Torque Control With Simple Duty-Ratio Regulator of PMSM for Minimizing Torque and Flux Ripples

Optimization of the Biofuel Supply Chain With Capital-Constrained Farmers Under Government Subsidies

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