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Wenhao Li, Xianxia Zhang, Yueying Wang and Songbo Xie
Model predictive control (MPC), an extensively developed rolling optimization control method, is widely utilized in the industrial field. While some researchers have incorporated predictive control into underactuated unmanned surface vehicles (USVs), mos...
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Shukuan Zhang, Yunxiang Nan, Yusen Zhang, Chuan Xiang and Mai The Vu
The propulsion system for underwater vehicles, driven by a counter-rotating permanent magnet synchronous motor (CRPMSM), can enhance the operational stability and efficiency of the vehicle. Due to the influence of complex underwater flows, the load imbal...
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Yongyong Zhao, Jinghua Wang, Guohua Cao and Xu Yao
This study introduces a reduced-order leg dynamic model to simplify the controller design and enhance robustness. The proposed multi-loop control scheme tackles tracking control issues in legged robots, including joint angle and contact-force regulation,...
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Fatemeh Jafari, S. Jamshid Mousavi and Kumaraswamy Ponnambalam
The model predictive control (MPC) approach can be implemented in either a reactive (RE-) or predictive (PR-) manner to control the operation of urban drainage systems (UDSs). Previous research focused mostly on the RE-MPC, as the PR-MPC, despite its pot...
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Baocheng Zhou, Xin Su, Hongjun Yu, Wentian Guo and Qing Zhang
With the development of agricultural mechanization and information technology, automatic navigation tractors are becoming a more common piece of farm equipment. The accuracy of automatic navigation tractor path tracking has become critical for maximizing...
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Huixuan Fu, Wenjing Yao, Ricardo Cajo and Shiquan Zhao
The motion of unmanned surface vehicles (USVs) is frequently disturbed by ocean wind, waves, and currents. A poorly designed controller will cause failures and safety problems during actual navigation. To obtain a satisfactory motion control performance ...
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Shuo Liu, Zijing Yu, Tao Wang, Yifan Chen, Yu Zhang and Yong Cai
In the traditional motion control method of an unmanned sailboat, the sail and rudder are divided into two independent controllers. The sail is used to obtain the thrust and the rudder is used to adjust the yaw angle. The traditional control method does ...
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Liyun Gong, Miao Yu and Stefanos Kollias
In this study, we present a novel smart greenhouse control algorithm that optimizes crop yield while minimizing energy consumption costs. To achieve this, we relied on both a greenhouse climate model and a greenhouse crop yield model. Our approach involv...
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Yu Han, Xiaolei Ma, Bo Wang, Hongwang Zhang, Qiuxia Zhang and Gang Chen
Nonlinear Model Predictive Control (NMPC) is an effective approach for motion planning in autonomous vehicles that need to satisfy multiple driving demands. Within the realm of planner design, current strategies inadequately address the issues related to...
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Yusuf Abubakar Sha?aban
Most industrial processes are regulated using PID control. However, many such processes often operate far from optimally because PID may not be the most suitable control method. Moreover, second-order models represent a large class of all controlled syst...
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