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学者姓名：程国扬
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Abstract ：
The distribution network environment is complex and has serious harmonic problems. The large-scale integration of new energy has exacerbated the diversification of harmonic sources and voltage distortion. Aiming at the poor estimation accuracy of traditional dynamic harmonic state estimation algorithm when there are time-varying noise and abrupt data, an adaptive harmonic state estimation algorithm for distribution networks considering new energy pseudo-measurement is proposed. Firstly, the Sage-Husa noise estimation method based on the forgetting factor is introduced to estimate the time-varying noise interference when the noise covariance is reduced in real-time. Then, an adaptive factor is constructed to online correct the error variance matrix, thereby reducing the prediction error caused by sudden load changes. Secondly, a confidence interval pseudo measurement generation method for quantile regression Bayesian gated recurrent neural network is proposed to solve the problem of missing short-term harmonic data in new energy and improve effect of the real-time harmonic state estimation. Finally, the effectiveness of the algorithm proposed in this paper is verified by an modified distribution network system. © 2024 IEEE.
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| GB/T 7714 | Zhou, L. , Cheng, G. , Shao, Z. . Adaptive Harmonic State Estimation Algorithm for Distribution Networks Considering Pseudo Measurement of New Energy [未知]. |
| MLA | Zhou, L. 等. "Adaptive Harmonic State Estimation Algorithm for Distribution Networks Considering Pseudo Measurement of New Energy" [未知]. |
| APA | Zhou, L. , Cheng, G. , Shao, Z. . Adaptive Harmonic State Estimation Algorithm for Distribution Networks Considering Pseudo Measurement of New Energy [未知]. |
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针对ACCT-Ⅲ实验箱开展"自动控制原理"实验教学缺乏具体的被控对象的问题,设计以电机为被控对象的实验教学,内容包括建立电机电流和速度数学模型,设计电流、速度闭环PID控制系统,控制系统Matlab仿真,实际伺服电机平台实验等.该实验教学从实物建模、模型仿真、控制器设计到控制系统仿真与实物验证,以项目设计理念为指导,让学生更好地理论与实际相结合,达到知识的内化,提高了教学质量.
Keyword ：
仿真与实物验证 仿真与实物验证 电机实验教学 电机实验教学 自动控制原理 自动控制原理
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| GB/T 7714 | 黄宴委 , 程国扬 , 陈丹 et al. 基于电机的"自动控制原理"实验教学 [J]. | 电气电子教学学报 , 2024 , 46 (4) : 186-191 . |
| MLA | 黄宴委 et al. "基于电机的"自动控制原理"实验教学" . | 电气电子教学学报 46 . 4 (2024) : 186-191 . |
| APA | 黄宴委 , 程国扬 , 陈丹 , 陈少斌 . 基于电机的"自动控制原理"实验教学 . | 电气电子教学学报 , 2024 , 46 (4) , 186-191 . |
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In this paper, a nonlinear servo control method based on finite-time observer is developed for position control of permanent magnet synchronous motor (PMSM). The nonlinear servo control law consists of two parts, where the linear part is responsible for the fast dynamic response and the nonlinear part is responsible for reducing the overshoot when the system approaches the steady state. To tackle the time-varying uncertainty occurring in the system, a finite-time extended state observer is proposed to estimate the lumped disturbance for feed-forward compensation in the control loop. Simulation and experimental results verify that the proposed control scheme can track the target position quickly and accurately, and is robust against disturbance and uncertainty. © 2024 Technical Committee on Control Theory, Chinese Association of Automation.
Keyword ：
Electric variables control Electric variables control Nonlinear control systems Nonlinear control systems Permanent magnets Permanent magnets Pneumatic servomechanisms Pneumatic servomechanisms Robust control Robust control Servomotors Servomotors State estimation State estimation Time varying control systems Time varying control systems
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| GB/T 7714 | He, Mingyang , He, Junhui , Cheng, Guoyang . Robust Nonlinear Servo Control of Permanent Magnet Synchronous Motor Based on Finite-time Extended State Observer [C] . 2024 : 3042-3047 . |
| MLA | He, Mingyang et al. "Robust Nonlinear Servo Control of Permanent Magnet Synchronous Motor Based on Finite-time Extended State Observer" . (2024) : 3042-3047 . |
| APA | He, Mingyang , He, Junhui , Cheng, Guoyang . Robust Nonlinear Servo Control of Permanent Magnet Synchronous Motor Based on Finite-time Extended State Observer . (2024) : 3042-3047 . |
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With the increasing diversity of market entities in the integrated energy system (IES), the interests of multiple entities become complex and variable, leading to disorganized competition among entities in the trading market. Therefore, this paper presents an optimal operation strategy for IES employing a multi-game with tri-level transactions. Firstly, a tri-level IES framework is established with the energy production provider alliance, energy sales agent, and energy user agents as the main entities. Secondly, to handle the uncertainty of renewable energy, a MD-K2 dynamic bayesian network method describing the spatiotemporal correlation of wind and photovoltaic is proposed, and generates probabilistic scenarios. Then, a tri-level multi-game optimization operation model is constructed considering multi-dimensional transactions and demand responses, and is proved to achieve the game equilibrium. Finally, the tri-level model is converted into bi-level mixed-integer linear programming (BMILP) problem, which is solved by a bisection-based distributed iterative algorithm. The simulation results indicate that the optimization strategy improves the interests of tri-level entities and promotes fair distribution of cooperative benefits among alliance members.
Keyword ：
Distributed algorithm Distributed algorithm Dynamic bayesian network Dynamic bayesian network Game equilibrium Game equilibrium Integrated energy system Integrated energy system Multi-game Multi-game
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| GB/T 7714 | Xu, Xun , Shao, Zhenguo , Chen, Feixiong et al. Multi-game optimization operation strategy for integrated energy system considering spatiotemporal correlation of renewable energy [J]. | ENERGY , 2024 , 303 . |
| MLA | Xu, Xun et al. "Multi-game optimization operation strategy for integrated energy system considering spatiotemporal correlation of renewable energy" . | ENERGY 303 (2024) . |
| APA | Xu, Xun , Shao, Zhenguo , Chen, Feixiong , Cheng, Guoyang . Multi-game optimization operation strategy for integrated energy system considering spatiotemporal correlation of renewable energy . | ENERGY , 2024 , 303 . |
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Abstract ：
In this paper, a nonlinear servo control method based on finite-time observer is developed for position control of permanent magnet synchronous motor (PMSM). The nonlinear servo control law consists of two parts, where the linear part is responsible for the fast dynamic response and the nonlinear part is responsible for reducing the overshoot when the system approaches the steady state. To tackle the time-varying uncertainty occurring in the system, a finite-time extended state observer is proposed to estimate the lumped disturbance for feed-forward compensation in the control loop. Simulation and experimental results verify that the proposed control scheme can track the target position quickly and accurately, and is robust against disturbance and uncertainty.
Keyword ：
feedforward compensation feedforward compensation finite time finite time nonlinear control nonlinear control permanent magnet synchronous motor permanent magnet synchronous motor
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| GB/T 7714 | He, Mingyang , He, Junhui , Cheng, Guoyang . Robust Nonlinear Servo Control of Permanent Magnet Synchronous Motor Based on Finite-time Extended State Observer [J]. | 2024 43RD CHINESE CONTROL CONFERENCE, CCC 2024 , 2024 : 3042-3047 . |
| MLA | He, Mingyang et al. "Robust Nonlinear Servo Control of Permanent Magnet Synchronous Motor Based on Finite-time Extended State Observer" . | 2024 43RD CHINESE CONTROL CONFERENCE, CCC 2024 (2024) : 3042-3047 . |
| APA | He, Mingyang , He, Junhui , Cheng, Guoyang . Robust Nonlinear Servo Control of Permanent Magnet Synchronous Motor Based on Finite-time Extended State Observer . | 2024 43RD CHINESE CONTROL CONFERENCE, CCC 2024 , 2024 , 3042-3047 . |
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This paper mainly studies the state of charge (SOC) estimation of lithium batteries based on a fractional-order adaptive square-root cubature Kalman filter (FO-ASRCKF). Firstly, a fractional-order model (FOM) of lithium battery is established by using fractional-order derivative theory. In order to meet the identification accuracy, an improved adaptive genetic algorithm is applied to the process of multi-parameter model identification. Then, the FO-ASRCKF algorithm based on FOM and adaptive rules is proposed, and a comparative experiment with Fractional-order adaptive iterative extended Kalman filter (FO-AIEKF) and Integer-order adaptive square-root cubature Kalman filter (IO-ASRCKF) is carried out. The experimental results show that the proposed FO- ASRCKF can work normally under various working conditions, and it has higher SOC estimation accuracy, with the mean absolute error (MAE) being less than 0.5%. Moreover, it can also overcome the divergence caused by noise and wrong initial values, indicating a better robustness.
Keyword ：
Adaptive square-root cubature Kalman filter Adaptive square-root cubature Kalman filter Fractional-order model Fractional-order model Lithium-ion battery Lithium-ion battery SOC estimation SOC estimation
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| GB/T 7714 | Chen, Lin , Yu, Wentao , Cheng, Guoyang et al. State-of-charge estimation of lithium-ion batteries based on fractional-order modeling and adaptive square-root cubature Kalman filter [J]. | ENERGY , 2023 , 271 . |
| MLA | Chen, Lin et al. "State-of-charge estimation of lithium-ion batteries based on fractional-order modeling and adaptive square-root cubature Kalman filter" . | ENERGY 271 (2023) . |
| APA | Chen, Lin , Yu, Wentao , Cheng, Guoyang , Wang, Jierui . State-of-charge estimation of lithium-ion batteries based on fractional-order modeling and adaptive square-root cubature Kalman filter . | ENERGY , 2023 , 271 . |
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Accurate estimation of State of Charge (SOC) based on equivalent circuit model (ECM) of Lithium-ion batteries (LIBs) is an important research topic. Recent research has found that fractional-order model (FOM), as one kind of equivalent circuit model, can provide a better description of LIBs dynamics than the conventional integerorder ECMs. However, it is difficult to directly identify an FOM online. In this paper, a synergy of Beetle Antennae Search and Recursive Least Squares (BAS-RLS) is proposed to identify the parameters of an FOM for LIBs. Specifically, the BAS is adopted to determine the fractional order, while the remaining parameters of FOM are estimated via the well-established RLS algorithm. A comparison study will demonstrate that this method offers a similar modeling accuracy as the Particle Swarm Optimization (PSO), and the online estimated model is more accurate than offline estimated models. Based on the identified FOM, this article then explores the battery SOC estimation from two aspects: initial value effect of the SOC and the comparison of multiple estimation algorithms, thus verifying the advantage of the proposed method for LIBs modeling and SOC estimation.
Keyword ：
Beetle antennae search Beetle antennae search Fractional-order model Fractional-order model Lithium-ion battery Lithium-ion battery Parameters estimation Parameters estimation Recursive least squares Recursive least squares State of charge State of charge
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| GB/T 7714 | Wang, Jierui , Yu, Wentao , Cheng, Guoyang et al. Identification of fractional-order equivalent circuit model of lithium-ion battery for improving estimation of state of charge [J]. | JOURNAL OF ENERGY STORAGE , 2023 , 70 . |
| MLA | Wang, Jierui et al. "Identification of fractional-order equivalent circuit model of lithium-ion battery for improving estimation of state of charge" . | JOURNAL OF ENERGY STORAGE 70 (2023) . |
| APA | Wang, Jierui , Yu, Wentao , Cheng, Guoyang , Chen, Lin . Identification of fractional-order equivalent circuit model of lithium-ion battery for improving estimation of state of charge . | JOURNAL OF ENERGY STORAGE , 2023 , 70 . |
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有限时间镇定是最近二十年控制领域的一个热门研究方向。采用有限时间镇定技术，可以设计控制系统或观测器使得系统误差或估计误差在有限的时间内收敛到零，这对有严格时间要求的系统至关重要。该文以工业伺服系统常用的永磁同步交流电动机作为被控对象，基于转子磁场定向模式，针对电动机的位置-速度环设计了有限时间观测器和有限时间控制律相结合的位置伺服控制器，并与常规的渐近控制器相比较，通过数字信号处理器TMS320F28335搭建了实验测试平台，实验结果验证了设计方案的有效性。将该综合实验用于本科生计算机控制系统实训和研究生的控制工程实践环节，可帮助学生领会先进控制技术的潜力，激发其创新精神。
Keyword ：
伺服电动机 伺服电动机 分数幂函数 分数幂函数 实验平台 实验平台 有限时间镇定 有限时间镇定 非线性控制 非线性控制
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| GB/T 7714 | 程国扬 . 有限时间镇定控制的实验设计与验证 [J]. | 实验技术与管理 , 2023 , 40 (06) : 11-17 . |
| MLA | 程国扬 . "有限时间镇定控制的实验设计与验证" . | 实验技术与管理 40 . 06 (2023) : 11-17 . |
| APA | 程国扬 . 有限时间镇定控制的实验设计与验证 . | 实验技术与管理 , 2023 , 40 (06) , 11-17 . |
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In this paper, a nonlinear control method based on fractional-order sliding surface is developed for position tracking control of permanent magnet synchronous motor (PMSM). First, a fractional-order sliding mode controller (FOSMC) is designed to achieve desirable transient dynamics while avoiding the strong chattering effect of classical sliding modes. Next, a super-twisting disturbance observer (STDOB) is introduced to estimate and compensate for the adverse effects of lumped unknown disturbances in PMSM. Lyapunov functions are used to analyze stability of the proposed control strategy. Finally, the performance and robustness of the proposed composite control scheme are demonstrated by experimental results. © 2023 Technical Committee on Control Theory, Chinese Association of Automation.
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| GB/T 7714 | He, M. , Kong, T. , Cheng, G. . Fractional-order Sliding Mode Control with Disturbance Rejection for PMSM Position Tracking [未知]. |
| MLA | He, M. et al. "Fractional-order Sliding Mode Control with Disturbance Rejection for PMSM Position Tracking" [未知]. |
| APA | He, M. , Kong, T. , Cheng, G. . Fractional-order Sliding Mode Control with Disturbance Rejection for PMSM Position Tracking [未知]. |
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分数阶控制技术是近20 年控制领域兴起的一个研究方向.采用分数阶微积分,可更精确地描述复杂系统的动态特性和进行有效控制.以工业伺服系统常用的永磁同步交流电动机作为被控对象,在磁场定向的矢量控制模式下,对电动机的速度-位置环分别采用分数阶PI控制、分数阶自抗扰控制和分数阶滑模控制等技术,设计了电动机速度调节、位置伺服控制的一组综合实验,通过数字信号处理器TMS320F28335 搭建了实验测试平台,实验结果验证了各设计方案的可行性.该综合实验用于本科生计算机控制系统实训和研究生控制工程实践环节,帮助学生领会先进控制技术的潜力,彰显精益求精的工匠精神.
Keyword ：
交流伺服系统 交流伺服系统 分数阶控制 分数阶控制 实验平台 实验平台 滑模控制 滑模控制 自抗扰控制 自抗扰控制
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| GB/T 7714 | 程国扬 , 贺名扬 . 分数阶控制伺服电动机实验演示平台设计 [J]. | 实验室研究与探索 , 2023 , 42 (10) : 64-69 . |
| MLA | 程国扬 et al. "分数阶控制伺服电动机实验演示平台设计" . | 实验室研究与探索 42 . 10 (2023) : 64-69 . |
| APA | 程国扬 , 贺名扬 . 分数阶控制伺服电动机实验演示平台设计 . | 实验室研究与探索 , 2023 , 42 (10) , 64-69 . |
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