<p class="Abstract" style="margin: 0cm 0cm 0pt; layout-grid-mode: char;"><span style="font-size: x-small;"><span style="font-family: Times New Roman;"><span style="font-weight: normal; mso-fareast-font-family: SimHei;">T</span><span style="font-weight: normal;">his paper studies the application of the </span><span style="font-weight: normal; mso-fareast-language: ZH-CN;">sliding mode</span><span style="font-weight: normal;"> control method to reduce the vibration of flexible structure with piezoelectric actuators and strain gage transducer</span><span style="font-weight: normal; mso-fareast-language: ZH-CN;"> in practical complex environment</span><span style="font-weight: normal;">. The state-space dynamic model of the system was derived by using finite element method and </span><span style="font-weight: normal; mso-fareast-language: ZH-CN;">experimental </span><span style="font-weight: normal;">mod</span><span style="font-weight: normal; mso-fareast-language: ZH-CN;">al</span><span style="font-weight: normal;"> t</span><span style="font-weight: normal; mso-fareast-language: ZH-CN;">est</span><span style="font-weight: normal;">.</span><span style="font-weight: normal; mso-fareast-language: ZH-CN;"> </span><span style="font-weight: normal;">The structure is subjected to arbitrary</span><span style="font-weight: normal; mso-fareast-language: ZH-CN;">, </span><span style="font-weight: normal;">unmeasurable disturbance forces. </span><span style="font-weight: normal; mso-fareast-language: ZH-CN;">Taking into account the uncertain random disturbance and measurement noise, Kalman</span><span style="font-weight: normal;"> </span><span style="font-weight: normal; mso-fareast-language: ZH-CN;">filter is chosen </span><span style="font-weight: normal;">as the state estimator to obtain the modal coordinates and modal velocities for the modal space control. A </span><span style="font-weight: normal; mso-fareast-language: ZH-CN;">sliding mode</span><span style="font-weight: normal;"> controller is adopted due to its distinguished robustness property of insensitiveness to parameter uncertainties and external disturbances.</span><span style="font-weight: normal; mso-fareast-language: ZH-CN;"> <a name="OLE_LINK20"></a><a name="OLE_LINK19"><span style="mso-bookmark: OLE_LINK20;">The sliding surface is determined by using optimization method, and the sliding controller is designed by applying Lyapunov direct method. </span></a></span><span style="font-weight: normal;">That is, along the switching surface, the cost function of the states is minimized. A </span><span style="font-weight: normal; mso-fareast-language: ZH-CN;">real-time </span><span style="font-weight: normal;">con...
This article involves the adaptive inverse control of 1 a coupled vessel-riser system with input backlash and system 2 uncertainties. By introducing an adaptive inverse dynamics of 3 backlash, the backlash control input is divided into a mis-4 match error and an expected control command, and then a 5 novel adaptive inverse control strategy is established to elim-6 inate vibration, tackle backlash, and compensate for system 7 uncertainties. The bounded stability of the controlled system 8 is analyzed and demonstrated by exploiting the Lyapunov's 9 criterion. The simulation comparison experiments are finally 10 presented to verify the feasibility and effectiveness of the control 11 algorithm. 12 Index Terms-Adaptive inverse control, boundary control, 13 flexible risers, input backlash, vibration control. 14 I. INTRODUCTION 15 A DAPTIVE control as a common method for handling 16 parametric uncertainty, provides techniques and algo-17 rithms for parameter estimation and is introduced in many 18 literatures [1]-[6]. In recent decades, significant advance-19 ments in adaptive control for the nonlinear systems have 20 been documented. To list some, in [7] and [8], switched 21 nonlinear systems were stabilized by developing an adap-22 tive neural tracking control and the semiglobal boundedness 23 was ensured. In [9]-[11], an adaptive finite-time convergence 24 Manuscript o f o f d d e. for flexible riser systems with nonsmooth input nonlinear 71 constraints. 72 In recent years, significant attention has focused on con-73 trol of nonlinear systems subject to input nonlinearities, such 74 as backlash, deadzone, saturation, and hysteresis [47]-[53], 75 which are common and tough issues in mechanical 76 connections, piezoelectric translators, and hydraulic servo 77 valves [54]-[56]. Recently, boundary control has achieved 78 rapid development on handling the input constraints in flex-79 ible riser systems [57]-[59]. In [60], an input-restricted riser 80 system was significantly stabilized by using anti-saturation 81 vibration control strategies. In [57], backstepping technique 82 was employed to construct an adaptive control for riser 83 systems to resolve the oscillation elimination, input saturation, 84 and output constraint. Further, anti-saturation control strate-85 gies were presented to restrain the oscillation of flexible risers 86 with input constraint by introducing the Nussbaum function 87 in [58]. Note that the chattering phenomenon caused by the 88 discontinuous sign function in [57] was removed. In [59], 89 hybrid input deadzone and saturation constraint issue in the 90 riser system was addressed by exploiting the auxiliary function 91 to propose a boundary control law. However, in the aforemen-92 tioned research, the design was confined to eliminate vibration, 93 tackle input saturation, or eliminate mixed input deadzone and 94 saturation in the riser system. 95 However, the effect of the input backlash nonlinearity char-96 acteristic was not considered in these mentioned literatures. 97 Backlash, which describ...
This paper focuses on a new type of configuration design of a compliant parallel mechanism (CPM) planar continuum structure and its characteristic analysis of vibration-inherent frequency for planar motion, which can suppress the impact of random vibration in ultra-precision positioning and manufacturing equipment and improve the inherent frequency response of the mechanism. Firstly, a vector-mapping isomorphism between the fully CPM and conventional isomorphic parallel mechanism was constructed with a kinematic differential Jacobian matrix. Then, the mathematical model of topology optimization was put forward considering the compromise programming on the static stiffness and mean vibration-inherent frequency of the mechanism as the design variable and the minimization of compliance as the objective function. A constraint of volume fraction was considered and multi-objective micro displacement mechanism topology optimization based on a prismatic-revolute-revolute (3-PRR) planar nano-positioning continuum structure was performed using the solid isotropic material with penalization (SIMP) technique, which combines the criteria of the optimization algorithm and the vector isomorphic mapping method. Multi-objective topology optimization of the continuum structure micro displacement mechanism was investigated and presented by optimizations with different initial rejection rates. The simulation results show that the stiffness and vibration suppression performance of the continuum structure were improved, whereas the positioning of differential kinematics characteristics of the 3-PRR micro displacement planar fully CPM and isomorphic prototype mechanism retain the same. The modal analysis also provides a rational configuration for the micro displacement mechanism dimensional design and its optimal modal parameters. The crossover oscillation in frequency response of the continuum structure was reduced and quickly converged in the optimization iterations. The performance of the optimized mechanism was verified by the experiments on a planar fully compliant micro displacement continuum structure based on Lead Zirconate Titanate (PZT) actuator.
The increased demand for robotic manipulator has driven the development of industrial manufacturing. In particular, the trajectory tracking and contact constant force control of the robotic manipulator for the working environment under contact condition has become popular because of its high precision and quality operation. However, the two factors are opposite, that is to say, to maintain constant force control, it is necessary to make limited adjustment to the trajectory. It is difficult for the traditional PID controller because of the complexity parameters and nonlinear characteristics. In order to overcome this issue, a PID controller based on fuzzy neural network algorithm is developed in this paper for tracking the trajectory and contact constant force simultaneously. Firstly, the kinetic and potential energy is calculated, and the Lagrange function is constructed for a two-link robotic manipulator. Furthermore, a precise dynamic model is built for analyzing. Secondly, fuzzy neural network algorithm is proposed, and two kinds of turning parameters are derived for trajectory tracking and contact constant force control. Finally, numerical simulation results are reported to demonstrate the effectiveness of the proposed method.
Enhancing underwater images presents a challenging problem owing to the influence of ocean currents, the refraction, absorption and scattering of light by suspended particles, and the weak illumination intensity. Recently, different methods have relied on the underwater image formation model and deep learning techniques to restore underwater images. However, they tend to degrade the underwater images, interfere with background clutter and miss the boundary details of blue regions. An improved image fusion and enhancement algorithm based on a prior dark channel is proposed in this paper based on graph theory. Image edge feature sharpening, and dark detail enhancement by homomorphism filtering in CIELab colour space are realized. In the RGB colour space, the multi-scale retinal with colour restoration (MSRCR) algorithm is used to improve colour deviation and enhance colour saturation. The contrast-limited adaptive histogram equalization (CLAHE) algorithm defogs and enhances image contrast. Finally, according to the dark channel images of the three processing results, the final enhanced image is obtained by the linear fusion of multiple images and channels. Experimental results demonstrate the effectiveness and practicality of the proposed method on various data sets.
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