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A Long-Range Generalized Predictive Control Algorithm for a DFIG Based Wind Energy System 预览
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作者 J.S.Solis-Chaves Lucas L.Rodrigues +1 位作者 C.M.Rocha-Osorio Alfeu J.Sguarezi Filho 《自动化学报:英文版》 CSCD 2019年第5期1209-1219,共11页
This paper presents a new Long-range generalized predictive controller in the synchronous reference frame for a wind energy system doubly-fed induction generator based. This controller uses the state space equations t... This paper presents a new Long-range generalized predictive controller in the synchronous reference frame for a wind energy system doubly-fed induction generator based. This controller uses the state space equations that consider the rotor current and voltage as state and control variables, to execute the predictive control action. Therefore, the model of the plant must be transformed into two discrete transference functions, by means of an auto-regressive moving average model, in order to attain a discrete and decoupled controller, which makes it possible to treat it as two independent single-input single-output systems instead of a magnetic coupled multiple-input multiple-output system. For achieving that, a direct power control strategy is used, based on the past and future rotor currents and voltages estimation. The algorithm evaluates the rotor current predictors for a defined prediction horizon and computes the new rotor voltages that must be injected to controlling the stator active and reactive powers. To evaluate the controller performance, some simulations were made using Matlab/Simulink. Experimental tests were carried out with a small-scale prototype assuming normal operating conditions with constant and variable wind speed profiles. Finally, some conclusions respect to the dynamic performance of this new controller are summarized. 展开更多
关键词 Direct power CONTROL DOUBLY-FED induction GENERATOR flux oriented CONTROL generalized PREDICTIVE CONTROL LONG-RANGE PREDICTIVE CONTROL wind energy systems
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Decomposition Based Fuzzy Model Predictive Control Approaches for Interconnected Nonlinear Systems
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作者 Latifa Dalhoumi Mohamed Chtourou Mohamed Djemel 《国际自动化与计算杂志:英文版》 EI CSCD 2019年第3期369-388,共20页
This paper proposes fuzzy model predictive control(FMPC)strategies for nonlinear interconnected systems based mainly on a system decomposition approach.First,the Takagi-Sugeno(TS)fuzzy model is formulated in such a wa... This paper proposes fuzzy model predictive control(FMPC)strategies for nonlinear interconnected systems based mainly on a system decomposition approach.First,the Takagi-Sugeno(TS)fuzzy model is formulated in such a way to describe the behavior of the nonlinear system.Based on that description,a fuzzy model predictive control is determined.The system under consideration is decomposed into several subsystems.For each subsystem,the main idea consists of the decomposition of the control action into two parts:The decentralized part contains the parameters of the subsystem and the centralized part contains the elements of other subsystems.According to such decomposition,two strategies are defined aiming to circumvent the problems caused by interconnection bet ween subsystems.The feasibility and efficiency of the proposed method are illustrated through numerical examples. 展开更多
关键词 MODEL PREDICTIVE CONTROL centralized CONTROL decentralized CONTROL Takagi-Sugeno(TS)fuzzy models·interconnected nonlinear systems FUZZY MODEL PREDICTIVE CONTROL parallel distributed compensation
Rail pressure controller design of GDI basing on predictive functional control
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作者 Zhiming ZHANG Lei XIE Hongye SU 《控制理论与技术:英文版》 EI CSCD 2019年第2期176-182,共7页
Gasoline direct injection(GDI)is a pivotal technique for a highly efficient engine.However,how to maintain a stable rail pressure which offers good fuel economy and low emissions,is still a challengeable work.In this ... Gasoline direct injection(GDI)is a pivotal technique for a highly efficient engine.However,how to maintain a stable rail pressure which offers good fuel economy and low emissions,is still a challengeable work.In this paper,a rail pressure controller is designed basing on predictive functional control(PFC),a model predictive control(MPC)method,to surmount the nonlinearity and disc on tinuity brought by the common rail pressure system(CRPS).A control-oriented piecewise linear model is prese nted to simplify the CRPS.The simulation results on a benchmark show that rail pressure tracks the setpoint accurately even with some perturbations.Profiting from the conciseness of PFC algorithm,the controller can compute the online solution in a short time,which makes it possible to realize the strategy on a fast response system. 展开更多
关键词 RAIL pressure CONTROL model based PREDICTIVE CONTROL PREDICTIVE FUNCTIONAL CONTROL
复杂双容水箱系统的递阶预测控制优化算法 预览
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作者 孙忠林 郑鹏远 《上海电力学院学报》 CAS 2019年第2期164-170,共7页
针对复杂双容水箱系统,以控制两个下水箱液位跟踪设定值为设计目标。为实现良好的水箱液位控制效果,首先构造液位控制的无穷时域性能指标,建立了复杂双容水箱无穷时域性能优化问题的数学描述;随后将基于时间分解协调的递阶优化和预测控... 针对复杂双容水箱系统,以控制两个下水箱液位跟踪设定值为设计目标。为实现良好的水箱液位控制效果,首先构造液位控制的无穷时域性能指标,建立了复杂双容水箱无穷时域性能优化问题的数学描述;随后将基于时间分解协调的递阶优化和预测控制的滚动优化思想引入水箱液位控制,将优化时域较长所引起的大规模参数优化问题分解为各时间点上独立的小规模参数优化问题,从而得出显式优化解,取得较优的水箱液位控制效果。 展开更多
关键词 多容水箱系统 液位控制 时间分解 协调 预测控制 递阶预测控制
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基于改进DMC算法的烟气脱硝控制仿真 预览
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作者 罗志浩 孙坚栋 +1 位作者 陶成飞 周昊 《热力发电》 CAS 北大核心 2019年第6期34-39,共6页
动态矩阵控制(DMC)算法的计算时间较长,无法满足热工控制的实时性和性能要求。为此,本文提出一种多种采样周期的改进DMC算法,在模型预测和反馈校正环节采用较小采样周期,在滚动优化环节采用较长采样周期,使预测时域和控制时域减小,降低... 动态矩阵控制(DMC)算法的计算时间较长,无法满足热工控制的实时性和性能要求。为此,本文提出一种多种采样周期的改进DMC算法,在模型预测和反馈校正环节采用较小采样周期,在滚动优化环节采用较长采样周期,使预测时域和控制时域减小,降低优化矩阵维数,从而使计算时间大幅减少。将改进的DMC算法用于某选择性催化还原(SCR)脱硝控制系统,采用MATLAB软件对模型匹配、控制量有约束和模型失配3种情况进行仿真研究。仿真结果表明,改进的DMC算法具有良好的响应特性,可以快速克服扰动影响,在模型失配时鲁棒性较好,适用于电厂热工对象的先进控制。 展开更多
关键词 预测控制 动态矩阵控制 热工控制 采样周期 脱硝控制 SCR
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Control of the common rail pressure in gasoline engines through an extended state observer based MPC
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作者 Chao WU Kang SONG Hui XIE 《控制理论与技术:英文版》 EI CSCD 2019年第2期156-166,共11页
In this paper,a model predictive control(MPC)solution,assisted by extended state observer(ESO),is proposed for the common rail pressure control in gasoline engines.The rail pressure dynamic,nonlinear with large uncert... In this paper,a model predictive control(MPC)solution,assisted by extended state observer(ESO),is proposed for the common rail pressure control in gasoline engines.The rail pressure dynamic,nonlinear with large uncertainty,is modeled as a simple first order system.The discrepancy of the model from the real plant is lumped as"total disturbance",to be estimated in real-time by ESO and the n mitigated in the nonlin ear MPC,assuming the total disturbance does not change in the prediction horiz on.The non linear MPC problem is solved using the Newton/generalized minimum residual(GMRES)algorithm.The proposed ESO-MPC solution,is compared with the conventional proportional-integral-differential(PID)controller,based on the high-fidelity model provided in the benchmark problem in IFAC-E-CoSM.Results show the following benefits from using ESO-MPC relative to PID(benchmark):1)the disturbance rejection capability to fuel inject pulse step is improved by 12%in terms of recovery time;2)the transient response of rail pressure is improved by 5%in terms of the integrated absolute tracking error;and 3)the robustness is improved without n eed for gain scheduling,which is required in PID.Additionally,in creasing the ban dwidth of ESO allows reducing the complexity of the model implemented in MPC,while maintaining the disturbance rejection performance at the cost of high noise-sensitivity.Therefore,the ESO-MPC combination offers a simpler and more practical solution for common rail pressure control,relative to the standard MPC,which is consistent with the findings in simulation. 展开更多
关键词 RAIL pressure CONTROL fuel system CONTROL model PREDICTIVE CONTROL extended state OBSERVER active DISTURBANCE REJECTION CONTROL
质子交换炉温控系统的模糊解耦预测控制 预览
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作者 伏娜 张晞 《仪表技术与传感器》 CSCD 北大核心 2019年第9期101-106,共6页
针对质子交换炉多变量、非线性、强耦合、大滞后等特点,提出一种模糊解耦与预测控制相结合的温度控制策略,以降低系统耦合并提高系统抗干扰能力。首先通过传热机理分析,基于热平衡机理推导出了质子交换炉的简化线性模型,然后基于模糊策... 针对质子交换炉多变量、非线性、强耦合、大滞后等特点,提出一种模糊解耦与预测控制相结合的温度控制策略,以降低系统耦合并提高系统抗干扰能力。首先通过传热机理分析,基于热平衡机理推导出了质子交换炉的简化线性模型,然后基于模糊策略设计模糊解耦控制器,将多变量系统的控制变为多个单变量系统的控制,并对解耦后的系统采用闭环预测控制。仿真结果表明,较传统PID控制和单纯模糊解耦控制,模糊解耦与预测控制相结合的控制方法不仅能够降低系统耦合程度,而且减小了干扰引起的温度波动。由此表明,该方法在多变量非线性系统中是有效的。 展开更多
关键词 质子交换炉 铌酸锂光波导 机理建模 模糊控制 解耦控制 预测控制
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基于动态矩阵的永磁同步直线电机速度控制 预览
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作者 薛增涛 史雁鹏 +2 位作者 王蕾永 李争 王群京 《河北科技大学学报》 CAS 2019年第2期145-151,共7页
为了改善直线电机的动态响应性能,提高电机控制系统的鲁棒性,使电机稳定运行,基于预测控制理论,设计了适用于直线电机速度环控制的动态矩阵控制器,将传统的直线电机三闭环控制系统中的速度环PID控制器替换为动态矩阵控制器,并分别搭建基... 为了改善直线电机的动态响应性能,提高电机控制系统的鲁棒性,使电机稳定运行,基于预测控制理论,设计了适用于直线电机速度环控制的动态矩阵控制器,将传统的直线电机三闭环控制系统中的速度环PID控制器替换为动态矩阵控制器,并分别搭建基于PID速度控制器和动态矩阵速度控制器的永磁同步直线电机三闭环仿真模型,在此基础上给控制系统施加阶跃信号,并进行突加负载和突减负载的仿真,将2种控制器控制下的系统响应结果进行对比。仿真结果表明,当速度环采用动态矩阵控制后电机的响应速度更快,超调更小,使电机速度更快达到稳定。改进后的速度环控制器提高了直线电机控制系统的鲁棒性,改善了直线电机的动态响应性能,提高了控制系统的抗扰动能力,有利于电机在负载变化较大的情况下运行。 展开更多
关键词 自动控制理论 直线电机 预测控制 动态矩阵控制 速度环
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Steam Pressure Control of 1000 MW Ultra-Supercritical Coal-Fired Power Unit Based on Multi-Model Predictive Control
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作者 王国良 丁宝苍 阎威武 《上海交通大学学报:英文版》 EI 2019年第1期86-93,共8页
Ultra-supercritical(USC) coal-fired unit is more and more popular in these years for its advantages.But the control of USC unit is a difficult issue for its characteristic of nonlinearity, large dead time and coupling... Ultra-supercritical(USC) coal-fired unit is more and more popular in these years for its advantages.But the control of USC unit is a difficult issue for its characteristic of nonlinearity, large dead time and coupling among inputs and outputs. In this paper, model predictive control(MPC) method based on multi-model and double layered optimization is introduced for coordinated control of USC unit running in sliding pressure mode and fixed pressure mode. Three inputs(i.e. valve opening, coal flow and feedwater flow) are employed to control three outputs(i.e. output power, main steam temperature and main steam pressure). The step responses for the dynamic matrix control(DMC) are constructed using the three inputs by the three outputs under both pressure control mode. Piecewise models are built at selected operation points. In simulation, the output power follows load demand quickly and main steam temperature can be controlled around the setpoint closely in load tracking control. The simulation results show the effectiveness of the proposed methods. 展开更多
关键词 ULTRA-SUPERCRITICAL COORDINATED CONTROL MULTI-MODEL model PREDICTIVE CONTROL steam pressure CONTROL
A Survey of Model Predictive Control Methods for Traffic Signal Control 预览
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作者 Bao-Lin Ye Weimin Wu +4 位作者 Keyu Ruan Lingxi Li Tehuan Chen Huimin Gao Yaobin Chen 《自动化学报:英文版》 CSCD 2019年第3期623-640,共18页
Enhancing traffic efficiency and alleviating (even circumventing) traffic congestion with advanced traffic signal control (TSC) strategies are always the main issues to be addressed in urban transportation systems. Si... Enhancing traffic efficiency and alleviating (even circumventing) traffic congestion with advanced traffic signal control (TSC) strategies are always the main issues to be addressed in urban transportation systems. Since model predictive control (MPC) has a lot of advantages in modeling complex dynamic systems, it has been widely studied in traffic signal control over the past 20 years. There is a need for an in-depth understanding of MPC-based TSC methods for traffic networks. Therefore, this paper presents the motivation of using MPC for TSC and how MPC-based TSC approaches are implemented to manage and control the dynamics of traffic flows both in urban road networks and freeway networks. Meanwhile, typical performance evaluation metrics, solution methods, examples of simulations, and applications related to MPC-based TSC approaches are reported. More importantly, this paper summarizes the recent developments and the research trends in coordination and control of traffic networks with MPC-based TSC approaches. Remaining challenges and open issues are discussed towards the end of this paper to discover potential future research directions. 展开更多
关键词 AUTONOMOUS vehicles coordination CONTROL mixed INTEGER PROGRAMMING model PREDICTIVE CONTROL system decomposition TRAFFIC flow models TRAFFIC signal CONTROL
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基于阶梯式广义预测控制的汽包炉机组协调系统优化控制
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作者 曾德良 高耀岿 +1 位作者 胡勇 刘吉臻 《中国电机工程学报》 EI CSCD 北大核心 2019年第16期4819-4826,共8页
面对煤炭清洁高效利用和现阶段电网的调度方式,汽包炉机组协调系统的控制性能还远未达到实际需求。从实际工程应用出发,在考虑汽包炉机组动态特性的基础上,以阶梯式预测控制算法为核心,融合传统的前馈控制和解耦控制理念,提出一种基于... 面对煤炭清洁高效利用和现阶段电网的调度方式,汽包炉机组协调系统的控制性能还远未达到实际需求。从实际工程应用出发,在考虑汽包炉机组动态特性的基础上,以阶梯式预测控制算法为核心,融合传统的前馈控制和解耦控制理念,提出一种基于阶梯式预测控制的汽包炉机组协调系统优化控制方案。结果表明:与传统DEB400直接能量平衡控制相比,该方案减少了主蒸汽压力的波动,能够大幅提升汽包炉机组协调系统的控制性能,从而更好地保证了机组的安全、稳定、经济、灵活运行。 展开更多
关键词 汽包炉 协调系统 预测控制 阶梯式控制
Trajectory Tracking of Autonomous Vehicle with the Fusion of DYC and Longitudinal–Lateral Control
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作者 Fen Lin Yaowen Zhang +3 位作者 Youqun Zhao Guodong Yin Huiqi Zhang Kaizheng Wang 《中国机械工程学报:英文版》 SCIE EI CAS CSCD 2019年第1期212-227,共16页
The current research of autonomous vehicle motion control mainly focuses on trajectory tracking and velocity tracking. However, numerous studies deal with trajectory tracking and velocity tracking separately, and the ... The current research of autonomous vehicle motion control mainly focuses on trajectory tracking and velocity tracking. However, numerous studies deal with trajectory tracking and velocity tracking separately, and the yaw stability is seldom considered during trajectory tracking. In this research, a combination of the longitudinal–lateral control method with the yaw stability in the trajectory tracking for autonomous vehicles is studied. Based on the vehicle dynamics, considering the longitudinal and lateral motion of the vehicle, the velocity tracking and trajectory tracking problems can be attributed to the longitudinal and lateral control. A sliding mode variable structure control method is used in the longitudinal control. The total driving force is obtained from the velocity error in order to carry out velocity tracking. A linear time-varying model predictive control method is used in the lateral control to predict the required front wheel angle for trajectory tracking. Furthermore, a combined control framework is established to control the longitudinal and lateral motions and improve the reliability of the longitudinal and lateral direction control. On this basis, the driving force of a tire is allocated reasonably by using the direct yaw moment control, which ensures good yaw stability of the vehicle when tracking the trajectory. Simulation results indicate that the proposed control strategy is good in tracking the reference velocity and trajectory and improves the performance of the stability of the vehicle. 展开更多
关键词 Autonomous vehicle TRAJECTORY tracking Direct yaw MOMENT control(DYC) Model PREDICTIVE CONTROL (MPC) Longitudinal–lateral CONTROL
低负荷脱硝烟气温度控制的措施分析与研究
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作者 戴敏敏 《电站系统工程》 2019年第5期68-70,72共4页
针对火电机组在低负荷段锅炉烟气温度低的情况下,脱硝频繁撤出,造成环保排放超标的问题,阐述了国内目前普遍采用的解决低负荷避免脱硝撤出的方法,并介绍了某电厂660MW机组,通过低负荷燃烧工况的动态预测调整,提高排烟温度的办法,解决了... 针对火电机组在低负荷段锅炉烟气温度低的情况下,脱硝频繁撤出,造成环保排放超标的问题,阐述了国内目前普遍采用的解决低负荷避免脱硝撤出的方法,并介绍了某电厂660MW机组,通过低负荷燃烧工况的动态预测调整,提高排烟温度的办法,解决了该机组低负荷脱硝撤出的问题,保证环保排放达标的要求。 展开更多
关键词 烟温控制 低负荷临界工况 预测控制 燃烧调整 脱硝控制
数控机床位置伺服系统的数据驱动预测控制 预览
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作者 梁建智 湛年远 杨铭 《微特电机》 2019年第3期61-65,共5页
数控机床位置伺服系统在实际加工过程中精确数学模型难以建立,采用一种数据驱动的自适应控制方法,避免了建模困难的问题。该控制系统采用紧格式动态线性化方法对数控机床位置伺服系统进行等价转化,并建立系统预测数据模型;采用无模型自... 数控机床位置伺服系统在实际加工过程中精确数学模型难以建立,采用一种数据驱动的自适应控制方法,避免了建模困难的问题。该控制系统采用紧格式动态线性化方法对数控机床位置伺服系统进行等价转化,并建立系统预测数据模型;采用无模型自适应控制技术和二层递阶预测方法,实现位置伺服数据驱动预测控制系统的设计。仿真结果表明,与传统PID控制方法相比,该数据驱动预测控制方法的精确度提高了6.2%,平稳度提高了15.94%。 展开更多
关键词 数控机床位置伺服系统 数据驱动控制 无模型自适应控制 预测控制
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感应电机无差拍电流预测控制改进研究 预览
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作者 刘杨 《防爆电机》 2019年第5期7-9,18共4页
感应电机一般采用电流环和速度环的双闭环矢量控制结构,无差拍电流预测控制特点是电流响应速度快,但同时存在严重依赖电机模型,其参数不匹配会导致稳定性变差,工业用电机实际应用过程中避免不了电机参数摄动,系统将变得不稳定,因此提出... 感应电机一般采用电流环和速度环的双闭环矢量控制结构,无差拍电流预测控制特点是电流响应速度快,但同时存在严重依赖电机模型,其参数不匹配会导致稳定性变差,工业用电机实际应用过程中避免不了电机参数摄动,系统将变得不稳定,因此提出一种基于SuperTwisting算法的复合控制策略,对无差拍电流预测控制进行改进方法,将系统扰动作为控制前馈,电流误差将得到有效消除。本文分析了传统无差拍电流预测控制以及存在的缺点,提出基于SuperTwisting算法的复合控制策略,建立数学模型,并通过实验验证了所提出的复合控制在电机参数不匹配时能实现快速且无稳态误差的电流控制。 展开更多
关键词 预测控制 无差拍电流预测 Super Twisting算法 复合控制 稳态电流误差
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Guaranteed feasible control allocation using model predictive control
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作者 Mehdi NADERI Ali KHAKI SEDIGH Tor Arne JOHANSEN 《控制理论与技术:英文版》 EI CSCD 2019年第3期252-264,共13页
This paper proposes a guaranteed feasible control allocation method based on the model predictive control. Feasible region is considered to guarantee the determination of the desired virtual control signal using the p... This paper proposes a guaranteed feasible control allocation method based on the model predictive control. Feasible region is considered to guarantee the determination of the desired virtual control signal using the pseudo inverse methodology and is described as a set of constraints of an MPC problem. With linear models and the given constraints, feasible region defines a convex polyhedral in the virtual control space. In order to reduce the computational time, the polyhedral can be approximated by a few axis alig ned hypercubes. Employing the MPC with rectangular constraints substantially reduces the computational complexity .In two dimensions, the feasible region can be approximated by a few rectangles of the maximum area using numerical geometry techniques which are considered as the constraints of the MPC problem. Also, an active MPC is defined as the controller to minimize the cost function in the control horizon. Finally, several simulation examples are employed to illustrate the effectiveness of the proposed techniques. 展开更多
关键词 CONTROL ALLOCATION feasible REGION ACTUATOR CONSTRAINTS model PREDICTIVE CONTROL
基于区间二型T-S模糊模型的网络控制系统的输出反馈预测控制 预览
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作者 唐晓铭 邓梨 +1 位作者 虞继敏 屈洪春 《自动化学报》 EI CSCD 北大核心 2019年第3期604-616,共13页
针对干扰作用下的非线性网络控制系统,给出了带一个自由控制作用的输出反馈预测控制方法.首先,利用区间二型T-S模糊模型描述具有参数不确定性的非线性对象,采用马尔科夫链描述系统中的随机丢包过程,由此建立了丢包网络环境下的非线性网... 针对干扰作用下的非线性网络控制系统,给出了带一个自由控制作用的输出反馈预测控制方法.首先,利用区间二型T-S模糊模型描述具有参数不确定性的非线性对象,采用马尔科夫链描述系统中的随机丢包过程,由此建立了丢包网络环境下的非线性网络控制系统的数学模型.然后,通过引入二次有界技术得到了干扰作用下网络控制系统的稳定性描述方法,并在此基础上给出了状态观测器的线性矩阵不等式条件.最后,基于估计状态,通过将无穷时域控制作用参数化为一个自由控制作用加一个线性反馈律得到了输出反馈预测控制方法.论文的特色在于构建了在线更新误差椭圆集合的基本方法,满足了约束条件下输出反馈预测控制保证稳定性的要求.仿真例子验证了所提方法的有效性. 展开更多
关键词 网络控制系统 预测控制 区间二型 二次有界
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基于状态观测器的事件触发预测控制 预览
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作者 李振兴 杨阳 +1 位作者 金鑫 祁晓忠 《长春理工大学学报:自然科学版》 2019年第1期95-99,共5页
针对一类存在数据丢包的网络控制系统,在系统状态无法直接测量的情况下,基于状态观测器和事件触发机制,提出了一种事件触发预测控制算法。首先,在传感器端建立了基于输出信息的事件触发机制1,用来减少传感器端到控制器端的信息发送次数... 针对一类存在数据丢包的网络控制系统,在系统状态无法直接测量的情况下,基于状态观测器和事件触发机制,提出了一种事件触发预测控制算法。首先,在传感器端建立了基于输出信息的事件触发机制1,用来减少传感器端到控制器端的信息发送次数,减少数据量的发送。其次,在控制器端建立事件触发机制2和状态观测器,用来重构和预测系统的状态和未来的控制输入序列,并发送给执行器端。执行器从接收到的序列中选择合适的控制输入作用于被控对象。然后利用Lyapunov稳定性理论,结合线性矩阵不等式,同时设计出反馈矩阵和事件触发机制中的参数。最后,通过仿真验证了所提方法的有效性。 展开更多
关键词 网络控制系统 丢包 事件触发 预测控制
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永磁同步电机有限集无参数模型预测控制 预览
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作者 陈卓易 邱建琪 金孟加 《电机与控制学报》 EI CSCD 北大核心 2019年第1期19-26,共8页
针对常规有参数有限集模型预测控制(FCS-MPC)在参数失配时性能下降的问题,提出一种用于永磁同步电机电流预测控制的有限集无参数模型预测控制(NMPC)。NMPC基于局部建模思想,采用集总参数模型进行预测控制,将任何影响稳态误差的因素折合... 针对常规有参数有限集模型预测控制(FCS-MPC)在参数失配时性能下降的问题,提出一种用于永磁同步电机电流预测控制的有限集无参数模型预测控制(NMPC)。NMPC基于局部建模思想,采用集总参数模型进行预测控制,将任何影响稳态误差的因素折合在集总电势中,任何影响电流变化率的因素折合在集总动态电感中,并在线估计更新模型,从而无需任何电机参数实现预测控制。采用包含电流预测误差的代价函数推导了用于两种集总参数在线估计的自适应律。仿真和实验结果表明,集总参数模型预测精度高,在参数和工况未知或时变的情况下,NMPC仍能达到模型精确FCS-MPC的控制性能,证明了方法的有效性。 展开更多
关键词 永磁同步电机 预测控制 自适应控制 在线估计 扰动补偿
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基于闭环子空间辨识的电厂协调系统预测控制 预览
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作者 褚德海 张婷 董泽 《计算机仿真》 北大核心 2019年第5期128-132,174共6页
针对工业控制系统由于模型失配或者被控对象特性在运行过程中发生改变造成的控制性能下降问题,设计了基于数据驱动的闭环子空间预测控制策略。将闭环子空间辨识算法与预测控制算法结合起来,直接根据输入输出数据对系统未来输出进行预测... 针对工业控制系统由于模型失配或者被控对象特性在运行过程中发生改变造成的控制性能下降问题,设计了基于数据驱动的闭环子空间预测控制策略。将闭环子空间辨识算法与预测控制算法结合起来,直接根据输入输出数据对系统未来输出进行预测,避免了建模不准确所造成误差,提高了控制准确性,且被控对象特性发生改变时,能够及时根据输入输出数据对控制器进行调整,提高了系统的鲁棒性。将其应用于火电机组协调系统,仿真结果表明,相较于基于模型的预测控制和传统的PID控制,该算法能够提高系统的设定值跟踪性能和鲁棒性能。 展开更多
关键词 闭环子空间 预测控制 数据驱动 火电厂协调系统
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