Chung Yuan Christian University

About: Chung Yuan Christian University is a education organization based out in Taoyuan City, Taiwan. It is known for research contribution in the topics: Membrane & Fuzzy logic. The organization has 9819 authors who have published 11623 publications receiving 213139 citations. The organization is also known as: Tiong-gôan-tāi-ha̍k & CYCU.

Recurrent fuzzy neural network control for piezoelectric ceramic linear ultrasonic motor drive

Abstract: In this study, a recurrent fuzzy neural network (RFNN) controller is proposed to control a piezoelectric ceramic linear ultrasonic motor (LUSM) drive system to track periodic reference trajectories with robust control performance. First, the structure and operating principle of the LUSM are described in detail. Second, because the dynamic characteristics of the LUSM are nonlinear and the precise dynamic model is difficult to obtain, a RFNN is proposed to control the position of the moving table of the LUSM to achieve high precision position control with robustness. The back propagation algorithm is used to train the RFNN on-line. Moreover, to guarantee the convergence of tracking error for periodic commands tracking, analytical methods based on a discrete-type Lyapunov function are proposed to determine the varied learning rates of the RFNN. Then, the RFNN is implemented in a PC-based computer control system, and the LUSM is driven by a unipolar switching full bridge voltage source inverter using LC resonant technique. Finally, the effectiveness of the RFNN-controlled LUSM drive system is demonstrated by some experimental results. Accurate tracking response and superior dynamic performance can be obtained because of the powerful on-line learning capability of the RFNN controller. Furthermore, the RFNN control system is robust with regard to parameter variations and external disturbances.

Real-Time Visual Tracking and Measurement to Control Fast Dynamics of Overhead Cranes

Abstract: Applying visual tracking technology to dynamic systems is important to many industrial applications. However, image sensing is difficult to implement in a fast dynamic plant without high-speed computational resources. This work presents a simple yet effective method of image processing to capture the dynamic movement of an overhead crane, enabling it to be controlled in real time. Visual tracking based on color histograms involves comparison of the color in a model image with the color in a sequence of images to track a dynamic object. The best match is identified using Bhattacharyya similarity measurement. Upon tracking, the sensing data are sent to an adaptive fuzzy sliding mode controller (AFSMC). The advantages of this approach include robustness and the model-free properties of the sliding mode and the fuzzy logic controllers; adaptable slopes of the sliding surface of AFSMC are also presented to improve control performance.

Highly interpenetrated diamondoid nets of Zn(II) and Cd(II) coordination networks from mixed ligands

Abstract: The syntheses, structures and thermal properties of three coordination networks [Zn(L11)(1,4-BDC)]·H2O (L11 = N,N′-di(4-pyridyl)adipoamide; 1,4-H2BDC = 1,4-benzenedicarboxylic acid), 1, [Cd(L11)(1,4-BDC)]·2H2O, 2, and [Zn2(L22)(1,4-BDC)2]·2CH3OH (L22 = N,N′-di(4-pyridyl)dodecanamide), 3, are reported. Complexes 1 and 2 show the dia topology with the rare 8- and 9-fold interpenetrating modes, respectively, while 3 exhibits an interpenetrating 3-fold framework with the pcuZn2(COO)2 dimer decorated topology. Complex 2 shows the maximum number of interpenetration presently known for interpenetrating diamondoid networks of coordination networks containing mixed spacer ligands.

Liquid-Crystalline Soft Actuators with Switchable Thermal Reprogrammability

Abstract: Thermal reprogrammability is essential for new-generation large dry soft actuators, but the realization sacrifices the favored actuation performance. The contradiction between thermal reprogrammability and stability hampers efforts to design high-performance soft actuators to be robust and thermally adaptable. Now, a strategy has been developed that relies on repeatedly switching on/off thermal reprogrammability in liquid-crystalline elastomer (LCE) actuators to resolve this problem. By post-synthesis swelling, a latent siloxane exchange reaction can be induced in the common siloxane LCEs (switching on), enabling reprogramming into on-demand 3D-shaped actuators; by switching off the dynamic network by heating, actuation stability is guaranteed even at high temperature (180 °C). Using partially black-ink-patterned LCEs, selectively switching off reprogrammability allows integration of completely different actuation modes in one monolithic actuator for more delicate and elaborate tasks.