This book provides a comprehensive overview of active anti-roll bar systems on heavy vehicles as one of the most effective solutions for improving the roll stability of these vehicles. Due to the characteristics of th...
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ISBN:
(数字)9789819713592
ISBN:
(纸本)9789819713585;9789819713615
This book provides a comprehensive overview of active anti-roll bar systems on heavy vehicles as one of the most effective solutions for improving the roll stability of these vehicles. Due to the characteristics of these vehicles with heavy loads and high center of gravity, the possibility of roll instability occurs frequently and causes serious consequences for human life, vehicles, and traffic infrastructure. The book gives readers an in-depth survey of the roll instability characteristics of heavy vehicles such as single-unit trucks with rigid and flexible frames, and tractor semi-trailers. It then introduces an active anti-roll bar system, the electro-hydraulic actuators which use control methods such as LQR optimal and H∞ robust controller design. This work introduces a new control method, which is a combination of robust control with the linear parameter varying system (H∞/LPV). The validation of the new hybrid method is carried out using the nonlinear truck model from the TruckSim® software to assess the roll stability of heavy vehicles in order to limit the rollover accident. A number of examples are provided to illustrate the research results, which helps the readers have a practical and easy approach that can be applied to other active anti-roll bar systems for most forms of transport vehicles in general. This book caters to academics and practitioners who are interested in active anti-roll bar systems for the typical heavy vehicle available worldwide.
The series Advances in Industrial control aims to report and encourage technology transfer in controlengineering. The rapid development of control technology has an impact on all areas of the control discipline. New ...
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ISBN:
(数字)9781846283345
ISBN:
(纸本)9781852339821;9781849969895
The series Advances in Industrial control aims to report and encourage technology transfer in controlengineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. In some areas of manufacturing, the elements of a flexible manufacturing system form the key components of the process line. These key components are four-fold: a set of programmable robots and machines, an automated materia- handling system that allows parts to be freely routed and re-routed, a buffer storage system where parts and partly-assembled components can wait until required for further processing and assembly and finally, a supervisory control system. The technology employed to coordinate and control all these components as a working system is usually based on programmable logic controllers. The use of this automation hardware and software in manufacturing is designed to yield significant cost reductions and to enhance quality.
control of multivariable industrial plants and processes has been a challenging and fascinating task for researchers in this field. The analysis and design methodologies for multivariable plants can be categorized as ...
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ISBN:
(数字)9783642031939
ISBN:
(纸本)9783642031922
control of multivariable industrial plants and processes has been a challenging and fascinating task for researchers in this field. The analysis and design methodologies for multivariable plants can be categorized as centralized and decentralized design strategies. Despite the remarkable theoretical achievements in centralized multiva- able control, decentralized control is still widely used in many industrial plants. This trend in the beginning of the third millennium is still there and it will be with us for the foreseeable future. This is mainly because of the easy implementation, main- nance, tuning, and robust behavior in the face of fault and model uncertainties, which is reported with the vast number of running decentralized controllers in the industry. The main steps involved in employing decentralized controllers can be summarized as follows: • control objectives formulation and plant modeling. • control structure selection. • controller design. • Simulation or pilot plant experiments and Implementation. Nearly all the textbooks on multivariable control theory deal only with the control system analysis and design. The important concept of control structure selection which is a key prerequisite for a successful industrial control strategy is almost unnoticed. Structure selection involves the following two main steps: • Inputs and outputs selection. • control configuration selection or the input-output pairing problem. This book focuses on control configuration selection or the input-output pairing problem, which is defined as the procedure of selecting the appropriate input and output pair for the design of SISO (or block) controllers.
This book presents best selected papers presented at the 2nd International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2022) to be held from 22 – 23 March 2022 in online mode at C-DAC...
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ISBN:
(数字)9789811941825
ISBN:
(纸本)9789811941818
This book presents best selected papers presented at the 2nd International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2022) to be held from 22 – 23 March 2022 in online mode at C-DAC, Noida, India. The book includes current research works in the areas of artificial intelligence, big data, cyber-physical systems, and security in industrial/real-world settings. The book illustrates on-going research results, projects, surveying works, and industrial experiences that describe significant advances in all of the related areas.
Smart grids have become an emerging topic due to net-zero emissions and the rapid development of artificial intelligence (AI) technology focused on achieving targeted energy distribution and maintaining operating rese...
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Smart grids have become an emerging topic due to net-zero emissions and the rapid development of artificial intelligence (AI) technology focused on achieving targeted energy distribution and maintaining operating reserves. In order to prevent cyber-physical attacks, issues related to the security and privacy of grid systems are receiving much attention from researchers. In this paper, privacy-aware energy grid management systems with anomaly detection networks and distributed learning mechanisms are proposed. The anomaly detection network consists of a server and a client learning network, which collaboratively learn patterns without sharing data, and periodically train and exchange knowledge. We also develop learning mechanisms with federated, distributed, and split learning to improve privacy and use Q-learning for decision-making to facilitate interpretability. To demonstrate the effectiveness and robustness of the proposed schemes, extensive simulations are conducted in different energy grid environments with different target distributions, ORRs, and attack scenarios. The experimental results show that the proposed schemes not only improve management performance but also enhance privacy and security levels. We also compare the management performance and privacy level of the different learning machines and provide usage recommendations.
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