共查询到19条相似文献,搜索用时 359 毫秒
1.
本文通过对垂直运动永磁直线同步电机力角特性的分析,得出电磁力角控制策略,并设计出了电磁力角控制器。仿真结果表明,该控制方法提高了垂直运动永磁直线同步电动机运行的稳定性、可靠性和电机的运行效率,并可有效预防垂直运动永磁直线同步电动机的失步问题。 相似文献
2.
3.
4.
5.
6.
7.
在考虑参数不确定性的情况下,将永磁直线同步电动机系统转化为具有状态和输入矩阵不确定性,并且受非线性摄动的线性系统,采用线性系统控制,给出控制律,使永磁直线同步电动机系统在存在参数不确定性的情况下,在原点平衡点渐进稳定。仿真研究表明该控制方法的有效性。 相似文献
8.
9.
抑制永磁直线同步电动机推力波动的补偿技术 总被引:1,自引:0,他引:1
为满足易产生推力波动的永磁直线同步电动机的速度伺服要求,减小永磁同步直线电动机的推力波动尤为重要。文章从电动机结构优化和控制策略2个方面来削弱推力波动:选择合适的次级磁铁形状及布置方式可使初级反电势波形接近正弦波形,同时采用控制策略,通过初级反电势计算定子电流谐波进行电流补偿,以此来削弱推力纹波;采用斜槽、斜极或均匀充磁等厚六边形磁铁紧密排列方案能大大削弱由齿槽效应引起的推力波动;采用多极结构、增加气隙长度、降低励磁磁密等措施能减小由端部效应引起的推力波动。实验结果表明,上述方法能有效地抑制永磁直线同步电动机的推力波动对伺服系统的影响,具有较强的鲁棒性。 相似文献
10.
针对永磁同步直线电动机对于外界扰动以及系统参数变化敏感的特点,在传统自抗扰控制技术的基础上,结合前馈和反馈控制,提出一种改进型自抗扰控制算法,利用该算法可有效观测并补偿永磁同步直线电动机速度及位置控制系统中的动态耦合扰动。仿真结果表明,与经典PID控制及传统自抗扰控制算法相比,改进型自抗扰控制算法具有更好的动静态特性。 相似文献
11.
利用Delta算子离散化系统采样周期是显式参数的特点,基于Delta算子方法对永磁直线同步电机(PMLSM)不同采样周期下的非脆弱保性能速度控制器的统一化设计问题进行研究.以线性矩阵不等式(LMI)给出该控制器的存在条件.通过对PMLSM闭环系统极点的分析,表明所设计的非脆弱保性能速度控制器不但能保证PMLSM在其对象参数和控制器参数同时发生范数有界摄动时闭环系统仍保持渐近稳定,而且系统的二次型性能指标上界的数学期望值不超过某个给定的上界,而不考虑控制器参数摄动情况所设计的控制器在其参数摄动时闭环系统将无法保持稳定. 相似文献
12.
Considering that the controller parameters are of additive norm-bounded uncertainties when realized, a design method of robust non-fragile H-infinity controller for uncertain systems based on Delta operator theory is illustrated in this paper. A sufficient and necessary condition of the existence for the controller is given, which is presented in LMI forms. Finally, the designed method is used in the speed control system of a permanent magnet linear synchronous motor (PMLSM). With the designed controller, the resulting speed closed-loop system is still stable and has the expected Hinfinity performance even if the sample period is reduced and the parameters of the controller and the controlled object are varied. The results show that the designed method is effective. 相似文献
13.
Considering that the controller parameters are of additive norm-bounded uncertainties when realized, a design method of robust non-fragile H-infinity controller for uncertain system based on Delta operator theory is illustrated in this paper. A sufficient and necessary condition of the existence for the controller is given, which is presented in LMI forms. Finally, the designed method is used in the speed control system of permanent magnet linear synchronous motor (PMLSM). With the designed controller, the resulted speed closed-loop system is still stable and has the expected Hinfinity performance even if the sample period is reduced and the parameters of the controller and the controlled object are of variations. The results show that the designed method is effective. 相似文献
14.
15.
由于永磁直线同步电机(PMLSM)伺服系统应用于一些高精密场合,因此克服系统存在的负载扰动、参数变化等不确定性影响是提高系统性能的关键.针对不确定性问题,采用一种基于自适应模糊控制器(AFC)和非线性扰动观测器(NDO)的反馈线性化控制方法.首先设计反馈线性化控制器(FLC)实现系统的线性化,便于位置跟踪;其次采用NDO估计并补偿系统的不确定性,提高跟踪精度.但在实际运行过程中观测器增益较难选取,极易产生较大的观测误差,为此,采用AFC方法逼近NDO的观测误差,通过自适应律动态调整模糊规则,改善模糊控制器的学习能力,增强系统的鲁棒性,并用李雅普诺夫定理保证系统闭环稳定性.实验结果表明,与基于DOB和NDO的反馈线性化位置控制相比,该方法能够明显提高系统的跟踪性和鲁棒性. 相似文献
16.
This paper proposes a self-adaptive interval type-2 neural fuzzy network (SAIT2NFN) control system for the high-precision motion control of permanent magnet linear synchronous motor (PMLSM) drives. The antecedent parts in the SAIT2NFN use interval type-2 fuzzy sets to handle uncertainties in PMLSM drives, including payload variation, external disturbance, and sense noise. The SAIT2NFN is firstly trained to model the inverse dynamics of PMLSM through concurrent structure and parameter learning. The fuzzy rules in the SAIT2NFN can be generated automatically by using online clustering algorithm to obtain a suitable-sized network structure, and a back propagation is proposed to adjust all network parameters. Then, a robust SAIT2NFN inverse control system that consists of the SAIT2NFN and an error-feedback controller is proposed to control the PMLSM drive in a changing environment. Moreover, the Kalman filtering algorithm with a dead zone is derived using Lyapunov stability theorem for online fine-tuning all network parameters to guarantee the convergence of the SAIT2NFN. Experimental results show that the proposed SAIT2NFN control system achieves the best tracking performance in comparison with type-1 NFN control systems. 相似文献
17.
针对具有电磁推力大、响应快、易于矢量解耦控制的永磁直线同步电机PMLSM,研究高精度位置伺服控制系统的设计,以满足高速加工与高精度微进给加工的需求;考虑被控对象的变化和外界扰动,控制器的参数难于在线修订,设计了一种模糊/积分-比例IP位置控制器;它将具有并联反馈环节的IP控制器与模糊控制器有效结合,根据位置偏差的变化率进行切换,即存在较大输入指令与系统输出偏差较大时采用模糊控制,而系统输出接近于输入指令时则采用IP控制器,从而发挥模糊控制器对变参数系统的自适应性和IP控制器的快速和准确性优势;仿真实验结果表明模糊/IP控制器在稳态精度和动态性能方面优于单纯的IP控制器和模糊控制器,能够满足变参数控制系统的性能指标。 相似文献
18.
19.
Application of neural network in suppressing mechanical vibration of a permanent magnet linear motor 总被引:1,自引:0,他引:1
Hassan Yousefi Markus Hirvonen Heikki Handroos Azita Soleymani 《Control Engineering Practice》2008,16(7):787-797
In this study, a recurrent neural network compensator for suppressing mechanical vibration in a permanent magnet linear synchronous motor (PMLSM) is studied. The linear motor is controlled by a conventional PI velocity controller, and the vibration of the flexible mechanism is suppressed by using a hybrid recurrent neural network. The differential evolution strategy and Kalman filter method are used to avoid the local minimum problem, and estimate the states of system, respectively. The proposed control method is firstly designed by using a nonlinear simulation model built in Matlab Simulink and then implemented in a practical test rig. The proposed method works satisfactorily and suppresses the vibration successfully. 相似文献