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Chao Ai Wei Gao Lijuan Chen Jiawei Guo Xiangdong Kong Andrew Plummer 《Journal of The Franklin Institute》2021,358(1):296-320
The requirement for An electrical grid-connected wind turbine is that the synchronous generator speed is stable within a required speed range for the electrical grid. In this paper, a hydraulic wind turbine (HWT) system is considered, and the working principle and working conditions of the HWT are introduced. A novel speed control method is proposed in this paper, using both a proportional flow control valve and a variable displacement motor, which are adjusted in combination to control the speed of the HWT. By establishing a state space model of the HWT and solving the nonlinear system with a feedback linearization method, a bivariate tracking controller is constructed to realize accurate speed control under fluctuating wind speed and the load disturbance conditions. The effectiveness of the control method is verified by simulation, but experimental results highlight problems with the method. The theoretical controller is simplified to reduce sensitivity to measurement noise and modeling error. The control effect has been improved to some extent, but it is limited. Based on these results, combined with the sliding mode variable structure control method and the feedback linearization method to solve the problem of measurement noise and modeling error, and the effectiveness of the control law is finally verified experimentally. It lays a theoretical foundation for the practical application of HWT. 相似文献
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Ruimei Zhang Deqiang Zeng Ju H. Park Kaibo Shi Yajuan Liu 《Journal of The Franklin Institute》2021,358(4):2320-2345
This paper investigates the stability and stabilizability of complex-valued memristive neural networks (CVMNNs) with random time-varying delays via non-fragile sampled-data control. Taking the influence of gain fluctuations into account, a non-fragile sampled-data controller is designed for CVMNNs. Compared with the existing control schemes, the one here is more applicable and can effectively save the communication resources. The assumption on activation functions of CVMNNs is relaxed by only needing the complex-valued activation functions satisfying the Lipschitz condition. By constructing a suitable Lyapunov–Krasovskii functional (LKF), new stability and stabilizability criteria are derived for CVMNNs. Different from the existing results with the maximum absolute values of memristive connection weights, our ones are based on the average values of the maximum and minimum of the memristive connection weights. Finally, numerical simulations are given to validate the effectiveness of the theoretical results. 相似文献
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Guang Ling Xinzhi Liu Ming-Feng Ge Yonghong Wu 《Journal of The Franklin Institute》2021,358(6):3193-3214
This paper investigates the problem of cluster synchronization of complex dynamical networks with noise and time-varying delays by using a delayed pinning impulsive control scheme. Different from the traditional impulsive control schemes without the effects of input delays, it designs a pinning impulsive control scheme to successfully address the aforementioned problem subject to impulsive input delays. By employing a time-dependent Lyapunov function and the mathematical induction, some novel criteria are established to guarantee the cluster synchronization of the noisy complex networks, revealing the closed relationship between the synchronization performance and the related factors, including the impulsive input delays, the number of the pinned nodes, the frequency and strength of the impulsive control, and the noisy perturbations. Some numerical examples and computer simulations are presented to illustrate the effectiveness of the theoretical results. 相似文献
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Yun Feng Yaonan Wang Jun-Wei Wang Han-Xiong Li 《Journal of The Franklin Institute》2021,358(2):1656-1672
Detection and estimation of abnormalities for distributed parameter system (DPS) have wide applications in industry, e.g., battery thermal fault diagnosis, quality monitoring of hot-rolled strip laminar cooling process. In this paper, the abnormal spatio-temporal (S-T) source detection and estimation problem for a linear unstable DPS is first studied. The proposed methodology consists of two steps: first, an abnormality detection filter (ADF) which generates a residual signal for abnormality detection in the time domain is constructed using pointwise measurement; Then, an adaptive Luenberger-type PDE observer including an adaptive estimation algorithm is designed and triggered only when an alarm raises from the ADF. Theoretic analysis based on the spatial domain decomposition approach is presented to show the convergence of the estimation errors. Finally, an illustrative example is presented to show the performance of the proposed method. 相似文献
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《Journal of The Franklin Institute》2021,358(16):8485-8505
This paper presents corrective control of input/state asynchronous sequential machines (ASMs) against transient faults occurring in both ASM and corrective controller. Since not only the ASM but also the controller undergoes unauthorized state transitions as a result of the fault, the ASM is vulnerable to direct damage by transient faults as well as indirect one propagated from the controller under the fault. We address the existence condition and design procedure for a state feedback corrective controller which achieves self-repair against any transient fault, while diagnosing and overcoming those faults infiltrating into the considered ASM. Hardware experiments on field-programmable gate array (FPGA) are provided to validate the applicability of the proposed methodology. 相似文献
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为了在移频信号检测中能够去除工频信号及其谐波的干扰,在移频信号检测仪的前端采用程控滤波器达到在不同中心频点滤除干扰信号的目的。通过程控改变其频率和品质因数的控制字可以实现多个频点的切换,并给出基于MAX260芯片的程控多频点切比雪夫带通滤波器的设计实例和示波器测试结果,测试结果显示在偏离中心频率40Hz内达到平坦度为0... 相似文献