Control of Hysteretic System Using Velocity and Acceleration Feedbacks

Instantaneous optimal control with acceleration and velocity feedback

This paper discusses the development of a linear quadratic optimal control algorithm for web guides, and implementation of the control algorithm using web lateral position feedback from a new, experimental fiber optic sensor. The lateral dynamic model of the web and the measurement characteristics of the fiber optic sensor are conducive for a linear quadratic regulator design. The performance of the optimal control algorithm with web lateral position feedback from the fiber optic edge sensor is evaluated by conducting experiments on a web platform. Experiments were also conducted using the same controller but with an existing industrial infrared sensor for web lateral position measurement. Results from a series of comparative experiments indicate that the optimal control algorithm with feedback from the fiber optic sensor provides accurate lateral position regulation in the presence of disturbances, at various web transport speeds, and with web materials with different mechanical, physical and geometric properties. Based on the analysis of the web lateral dynamic model, recommendations for proper guide operation and selection of appropriate web transport conditions for good guiding performance are also discussed.

Problem statement: Sensitization of robot hand is still remaining as crucial issue since most of robot hand systems nowadays are only capable to grasp a predefined specific object. It is still difficult for robot hand system to realize human-like tactile sensation. Some common problems in robot hand system are low accuracy sensing device, sensors are not robust enough for long time work and heavy duties, inconsistence tactile sensing detection and difficulties in control of sensing fusion with robot trajectory. These problems are apparently drawback the progress to commercializing robot hands as real consumer products. Approach: This study presented the application of optical three-axis tactile sensor to robot hand to improve sensitization quality in robotic hand system. The proposed tactile sensor system was designed with compliance modules to communicate with robot hand control system. The sensing principle used in this tactile sensor comparatively provides better sensing accuracy to detect contact phenomena from acquisition of three axial directions of forces. Methodology of force and slippage detection in the tactile sensor system was presented. Accordingly, the optimization of robot hand control algorithm to comply with the tactile sensor system was presented and verified in experiment of grasping and twisting. Results: The tactile sensor presented in this study is capable of detecting normal and shear force simultaneously. The proposed methodology was verified in experiment with paper cup and water, in which the result shows the robot control system managed to respond to the proposed object stiffness distinction parameters and effectively respond to sudden change of object weight during grasping. An experiment of grasping and twisting motions was conducted using a bottle cap. In order to perform simultaneous grasping and twisting tasks, optimization of the control algorithm was conducted with additional parameters to satisfy the desired tasks. Conclusion: Experimental result shows that the robot hand managed to perform grasping and twisting of bottle cap smoothly. The overall results revealed good performance of the proposed optical three-axis tactile sensor system and robot hand control algorithm for future application in a real artificial robot hand. In addition, slippage sensation measured in a robot control system could contribute a better maneuvering of the robot arm-finger system.

Critical mode control of a wind-loaded tall building using an active tuned mass damper

Application of an H/sub 2/ optimal adaptive control algorithm as a power system stabilizer is described in this paper. The algorithm deals with disturbance attenuation in the sense of H/sub 2/ norm for nonlinear systems. Results of simulation and experimental studies suggest that the H/sub 2/ optimal control algorithm could be successfully used for the control of nonlinear systems such as synchronous generators.

Optimal control of high-rise building structures against earthquake excitations using independent stories as TMD

TransFrameNet: A transformer-based approach for generalized seismic performance prediction of building structures

A new air knife system for control of coating thickness was developed for a hot dip galvanizing line. The existing air knife system can manipulate only the mean coating weight. The developed new air knife system has the flexible nozzle structure, by which the transverse coating weight can be controlled. The controller is a multiinput-multioutput (MIMO) system which consists of m control inputs (measured value) and n control outputs (nozzle control). Multinozzle control is based on the optimal control algorithm. The controller calculates the m nozzle references according to the n coating weight deviations using optimal algorithm and the models between the coating weight and nozzle gap. The time delay problem was solved by the Smith predictor.

How to realize the unity of safety, comfort, and economy of building structures has been a hot spot of concern in the field of construction engineering. This paper searches for optimal particles using a hybrid optimization strategy and optimizes the weights of each index in the fitness function into the same interval. Then dynamic inertia weights are used to improve the performance of the algorithm, and an enhanced adaptive particle swarm algorithm is obtained. After selecting the optimization variables for the building design, the objective function and constraints are designed, and the improved particle swarm algorithm is used to solve the optimal design of the intelligent building. The total weight of the target building structure was reduced after optimization, and 47.04% of the building materials were saved. The outer diameter of the steel pipe concrete at the lowest level of the building increases from 1.73m to 2.06m after optimization, which fulfills the law of column change in building design. It has also been found that the wind resistance of the optimized building structure has improved. This paper provides a reliable basis for the application of adaptive algorithms in building design optimization, and the proposed method also provides an effective reference for the field of construction engineering.

Many engineers in the world have tried to conduct research to overcome building structures that have been destroyed by sudden powerful earthquakes. One popular method is the base isolation system. This system has proven effective and is an alternative to overcome strong earthquake forces. This method is very suitable to be applied in Indonesia, because Indonesia is classified as an earthquake-prone country. This study analyzes building structures that use base isolators to reduce earthquake forces and compares them with conventional building structures. The earthquake force that enters the building structure can cause multidimensional movements that contribute to horizontal displacement in the x-direction, y-direction and rotational directions, which cause damage to the building structure. The results of the analysis prove that structures that use base isolators can reduce displacement responses (drift stories), it can be seen that the relative displacement between levels after using base isolators becomes smaller compared to fixed base structures. The story shear force can also be reduced, thereby preventing structural damage and casualties

Simultaneous seismic input and state estimation with optimal sensor placement for building structures using incomplete acceleration measurements

Sharing of Temporary Structures: Formalization and Planning Application

This article is devoted to the study of the legal nature and essence of such an object of civil rights as a temporary structure for entrepreneurial activity (hereinafter referred to as the Temporary Structure). The issue of the legal nature of the temporary structure and its legal regime is relevant in today’s conditions, since the current legislation does not clearly define its legal status, including as an object of civil rights, which in turn creates legal uncertainty in the field of regulation of legal relations on the use of temporary structures. Therefore, special attention is paid to the clarification of the essence of the concept of Temporary Construction as an object of real legal relations through the prism of the current legislation on the basis of practical activity and scientific validity. The article analyzes the norms of the Civil Code of Ukraine, the Law of Ukraine «On Regulation of Urban Planning Activities», the Procedure for the Placement of Temporary Structures for Entrepreneurial Activity, which determine the concept and features of Temporary Structures, the procedure for their placement in cases determined by the current legislation of Ukraine, as well as the features and limits of the exercise of property rights in relation to the latter. Special attention was paid to the characteristic features of the Temporary Structure and the attribution of the latter to the relevant category of things in civil law. The author focuses on the importance of establishing the legal status of the Temporary Structure as an object of property rights. During the study, it was found that the Temporary Structure belongs to the category of things in civil law and acts as a specific object of law of both private and joint ownership. Based on the analysis of the norms of the current legislation, sources of scientific legal literature, and judicial practice, conclusions were made that allow us to consider that the Temporary Structure is a movable thing and a specific object of property rights. The specificity of this object lies in the fact that it has the characteristics of an object of ownership, but the latter does not have a clearly defined title owner. It was also concluded that the legal regime of the Temporary Structure today requires careful attention from the legislator, and therefore the only tool for improving the latter is a clear consolidation at the legislative level of the legal status of the Temporary Structure and the determination of its title owner, which will make it possible to unconditionally consider the Temporary Structure as an object of property rights and provide an effective mechanism for protecting the rights of their owners, as participants in civil legal relations.

In this chapter, we present two adaptive backstepping control algorithms for a second-order uncertain hysteretic structural system found in base isolation scheme for seismic active protection of building structures. The hysteretic nonlinear behavior is described by a Bouc-Wen model. It is shown that not only stability is guaranteed by the proposed controller, but also both transient and asymptotic performances are quantified as explicit functions of the design parameters so that designers can tune the design parameters in an explicit way to obtain the required closed loop behavior.

Applying optimization techniques to control systems remains a challenging task. Control system technology is emerging rapidly due to the high demands for commercialization in engineering and industrial fields, but existing optimization techniques are considered weak to cope with increasingly complex control problems. More powerful optimization techniques are urgently needed to catch up with the prerequisites for optimal control. Hence, this research is dedicated to the development of an improved optimization algorithm to solve the optimal thermoregulatory control problem for piping systems in a more efficient manner. As a research outcome, the Memetic Alligator Optimization (MeAgtrO) algorithm is proposed. On top of the mathematical hunting and relocating mechanisms, MeAgtrO adds several evolutionary operators that replicate satiety awareness, mating, generational alternation, and dispersed hunting. Unlike the standard optimizer, which only emphasizes global and local search transitions, these improved variants give the ability to shuffle, swap, replace, and disperse agent information for greater flexibility. Upon application to a simulated piping system to optimally control thermoregulation processes, MeAgtrO statistically outperformed the other compared algorithms, showing 100% accuracy, 99.99% precision, and 99.99% robustness in minimizing the tracking error, response time, and equipment burden of the system. MeAgtrO has been shown to have high processing speed for optimal application control, which corresponds to its superior convergence speed to stabilize at 40% of iterations. While showing satisfactory clustering properties, MeAgtrO also demonstrated the best step response with a rise time of 0.40s, settling time of 0.99s, 0 tracking error, 0% overshoot, and 0% undershoot. ABSTRAK: Penerapan teknik optimasi pada sistem kawalan adalah tugas mencabar. Teknologi sistem kawalan berkembang pesat disebabkan oleh permintaan tinggi bagi komersialisasi dalam bidang kejuruteraan dan industri, tetapi teknik optimasi sedia ada dianggap lemah dalam mengatasi masalah kawalan yang semakin kompleks. Teknik optimasi lebih kuat diperlukan dengan segera untuk memenuhi prasyarat kawalan optimal. Oleh itu, penyelidikan ini bertujuan bagi membangunkan algoritma optimasi yang lebih baik bagi menyelesaikan masalah kawalan termoregulator optimum pada sistem paip dengan lebih cekap. Penyelidikan ini mencadangkan algoritma Memetic Alligator Optimization (MeAgtrO). Selain dari mekanisme pemindahan dan pemburuan matematik, MeAgtrO memiliki beberapa pengendali evolusinari yang menggandakan kesedaran kenyang, mengawan, alternasi generasi, dan pemburuan tersebar. Berbeza dengan pengoptimuman standard, penekanan hanya pada peralihan global dan carian tempatan, ini membaiki varian dengan memberikan keupayaan menyusun semula, menukar, mengganti, dan menyebar maklumat ejen bagi fleksibiliti yang lebih besar. Apabila digunakan pada sistem paip bersimulasi bagi mengawal proses termoregulasi secara optimum, MeAgtrO secara statistik mengatasi algoritma lain, menunjukkan ketepatan 100%, kejituan 99.99%, dan kekuatan 99.99% dalam mengurangkan kesilapan pengesanan, masa tindak balas, dan beban sistem peralatan. MeAgtrO telah terbukti mempunyai kelajuan pemprosesan yang tinggi bagi aplikasi kawalan optimum, sejajar dengan kelajuan konvergensi yang lebih bagus bagi menstabilkan iterasi 40%. Di samping menunjukkan sifat kelompok yang memuaskan, MeAgtrO juga memiliki respons langkah terbaik kenaikan masa 0.40s, masa penyelesaian 0.99s, ralat pengesanan 0%, lebih sasaran 0%, dan kurang sasaran 0%.