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Real-Time control of Gas Supply System for a PEMFC Cold-Start Based on the MADDPG algorithm

ENERGIES 2023年第12期16卷 4655-4655页

作者： Pan, Lei Zhang, Tong Gao, Yuan Tongji Univ Sch Automot Studies Shanghai 201804 Peoples R China

During the cold-start process of a PEMFC, the supply of air and hydrogen in the gas supply system has a great influence on the cold-start performance. The cold-start of a PEMFC is a complex nonlinear coupling process, and the traditional control strategy is not sensitive to the real-time characteristics of the system. Inspired by the strong perception and decision-making abilities of deep reinforcement learning, this paper proposes a cold-start control strategy for a gas supply system based on the MADDPG algorithm, and designs an air supply controller and a hydrogen supply controller based on this algorithm. The proposed strategy can optimize the control parameters of the gas supply system in real time according to the temperature rise rate of the stack during the cold-start process, the fluctuation of the OER, and the voltage output characteristics. After the strategy is trained offline according to the designed reward function, the detailed in-loop simulation experiment results are given and compared with the traditional control strategy for the gas supply system. From the results, it can be seen that the proposed MADDPG control strategy has a more effective coordination control effect.

关键词： PEMFC MADDPG cold-start air supply system control algorithm

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An artificial pancreas based on simple control algorithms and physiological insight

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IFAC-PapersOnLine 2019年第1期52卷 1018-1023页

作者： John Bagterp Jørgensen Dimitri Boiroux Zeinab Mahmoudi Department of Applied Mathematics and Computer Science Technical University of Denmark DK-2800 Kgs. Lyngby Denmark

We present a simple control algorithm for a single-hormone artificial pancreas (AP). The AP consists of a continuous glucose monitor (CGM) measuring the interstitial glucose concentration, a control algorithm computing the insulin to administer, and an insulin pump dosing the insulin. The control algorithm is based on insights into the underlying dynamics of the glucose-insulin dynamics in people with type 1 diabetes. The main components in this control system are 1) an insulin bolus calculator to compensate for carbohydrates in meals, 2) a run-to-run algorithm for adjusting the basal insulin to long-term metabolic variations, and 3) a micro-bolus correction of the basal insulin to compensate for short-term variations in the endogenous insulin production and insulin sensitivity.

关键词： control algorithm PID Feed-forward control Run-to-run control Diabetes Artificial pancreas

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Nonlinear control algorithms for efficiency-improved course keeping of large tankers under heavy sea state conditions

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OCEAN ENGINEERING 2019年 189卷 106371-106371页

作者： Zhao, Hongbiao Zhang, Xianku Han, Xu Dalian Maritime Univ Nav Coll Dalian 116026 Liaoning Peoples R China

In order to solve the problem of more energy-saving and safer course keeping control for large oil tanker under heavy sea state conditions, a hyperbolic tangent function was used as a new nonlinear feedback function to re-examine the nonlinear feedback in this paper. The new control algorithm was theoretically proved by describing function, and the stability analysis of the system was carried out through Nyquist curve. Taking "YUKUN" and "New Triumph" oil tanker as examples, systematic comparative simulations of hyperbolic tangent function and sine function were carried out. It was found that sine function was better than the hyperbolic tangent function for the course keeping control of general ship under normal sea state conditions. However, for large oil tanker under heavy sea state conditions, the hyperbolic tangent function could achieve almost the same control effect as sine function while the maximum rudder angle decreased by 39% and the average rudder angle decreased by 36%. Therefore, from the numerical investigations, the nonlinear algorithm modified by hyperbolic tangent has obvious advantages in the course keeping control of large oil tanker under heavy sea state conditions.

关键词： Large oil tanker Heavy sea state Course keeping Efficiency-improved control Hyperbolic tangent function Nonlinear feedback control algorithm

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Semi-active control of buildings using different control algorithms considering SSI

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JOURNAL OF BUILDING ENGINEERING 2023年 67卷

作者： Jalali, Himan Hojat Farzam, Maziar Fahimi Gavgani, Seyyed Ali Mousavi Bekdas, Gebrail Univ Texas Arlington Dept Civil Engn 425 Nedderman Hall 416 Yates St POB 19308 Arlington TX 76019 USA Univ Maragheh Fac Engn Dept Civil Engn Maragheh *** Iran Kharazmi Univ Fac Engn Dept Civil Engn Tehran *** Iran Istanbul Univ Cerrahpasa Dept Civil Engn TR-34320 Istanbul Turkiye

In current work, a comprehensive study on control algorithms with the presence of soil-structure interaction (SSI) effects is presented. algorithms used in this study are Clipped-Optimal control (COC), Lyapunov, Bang-Bang and Fuzzy with two Passive-On (P-On) and Passive-Off (P-Off) cases. Furthermore, characteristics of soil including four cases of fixed base, dense, medium and soft soil are investigated. In order to evaluate the efficiency of these algorithms in determining the appropriate voltage of the Magneto-rheological Damper (MR) and the corresponding control force, a 5-story linear shear building under 21 ground motions is selected. Earthquake records used in this paper contain 3 sets of 7 ground motions including far-fault and near fault records with fling step and forward directivity. Important effects such as nonlinear behavior of MR damper, actuator dynamics and damper saturation are also considered in this study. Mean and standard deviation of structural responses for the 3 sets of presented records show that the reduction in structural responses increases with reducing the stiffness of the base of the structure. Moreover, COC and Bang-Bang algorithms presented better performances than the other considered control algorithms and provide a robust method for semi-active control of structures equipped with MR dampers.

关键词： Structural control Magneto-rheological damper control algorithm Soil -structure interaction Near -fault ground motion

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In-wheel motor control system used by four-wheel drive electric vehicle based on whale optimization algorithm-proportional-integral-derivative control

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ADVANCES IN MECHANICAL ENGINEERING 2022年第6期14卷

作者： Zhai, Rongjie Xiao, Ping Zhang, Rongyun Ju, Jinyong Anhui Polytech Univ Sch Mech Engn Wuhu Anhui Peoples R China Anhui Polytech Univ Automot New Technol Anhui Engn & Technol Res Ctr Beijing Rd Wuhu 241000 Anhui Peoples R China Hefei Univ Technol Sch Mech & Automot Engn Hefei Anhui Peoples R China China Univ Min & Technol Sch Mechatron Engn Xuzhou Jiangsu Peoples R China

Aiming to more accurately control the wheel speed of an electric vehicle (EV) driven by four in-wheel motors, a developed whale optimization algorithm-proportional-integral-derivative (KW-WOA-PID) control algorithm is proposed herein. In this study, mathematical and simulation models are built for EVs by analyzing the mechanical structures of EVs driven by four in-wheel motors. Simulations are conducted, and the driving and control requirements for the in-wheel motors are obtained. Then, mathematical and simulation models are built for a specific in-wheel motor. The whale optimization algorithm (WOA) is optimized by kent mapping and the adaptive weight coefficient to improve the ability of the algorithm to jump out of the local optimum and the convergence speed and convergence accuracy of WOA. Then the further simulations are conducted. The simulation results display that the maximum overshoot and adjustment time of the motor under KW-WOA-PID control are significantly optimized. Then, a speed-control bench test system is built for the in-wheel motor, and real-life experiments were conducted. The experimental results verify that KW-WOA-PID has higher control accuracy and a better response performance;accordingly, the developed control algorithm can meet driving requirements. The handling stability of EVs is effectively improved by controlling the motor speed.

关键词： Electric vehicle modeling and simulation drive system speed control control algorithm

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Key technologies in active microvibration isolation systems: Modeling, sensing, actuation, and control algorithms

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MEASUREMENT 2023年 222卷

作者： Yuan, Zhongxiang Zhang, Zhengguang Zeng, Lizhan Li, Xiaoqing Huazhong Univ Sci & Technol State Key Lab Intelligent Mfg Equipment & Technol Wuhan Peoples R China Huazhong Univ Sci & Technol Inst Artificial Intelligence Wuhan Peoples R China

Low-amplitude and wide-frequency bands characterize microvibrations and can severely degrade the working accuracy of sensitive payloads. Notably, active microvibration isolation systems (AMISs) are more effective for expanding the effective bandwidth and improving the vibration isolation performance than other approaches, such as passive and semi-active methods. Accordingly, our research has focused on the key technologies used in AMISs over recent decades and their further development. In this study, we review the key technologies, such as the systematic dynamics methodology, sensing, actuation, and controller design. The approaches of dynamics modeling and decoupling determine the controller design for increased control accuracy. Sensors and actuators are the sensing and actuation elements of AMISs, and their intrinsic properties significantly affect the microvibration isolation performance. The authors believe that smart material actuators, such as piezoelectric, magnetostrictive, and dielectric elastomer actuators, will be popular research topics for a long time. For the controller design, control strategies, control architectures, and advanced control algorithms, such as fuzzy logic and neural networks, determine the controller performance with regard to control accuracy, reliability, and stability. This work presents a state-of-the-art review of the key technologies with active vibration control that can be employed in microvibration rejection. To conclude the paper, the current challenges, future opportunities, and directions are presented.

关键词： Microvibration isolation Active control Dynamics modeling Sensing Actuation control algorithm

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controlLER PARAMETER ADAPTATION algorithm USING UNFALSIFIED control THEORY AND GRADIENT METHOD

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IFAC Proceedings Volumes 2002年第1期35卷 283-287页

作者： Myungsoo Jun Michael G. Safonov Sibley School of Mechanical and Aerospace Engineering Cornell University Ithaca NY 14853-7501 USA

In this paper a new controller parameter adaptation rule is proposed. The proposed adaptation rule is derived via unfalsification control theory and gradient method without imposing many assumptions on the plant. Conv... 详细信息

关键词： Learning control adaptive control adaptive systems control algorithm uncertain dynamic systems

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Electrochromic Orbit control for Smart-Dust Devices

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JOURNAL OF GUIDANCE control AND DYNAMICS 2012年第5期35卷 1548-1558页

作者： Luecking, Charlotte Colombo, Camilla McInnes, Colin R. Univ Strathclyde Adv Space Concepts Lab Glasgow G1 1XJ Lanark Scotland

Recent advances in microelectromechanical systems technology are leading to spacecraft that are the shape and size of computer chips, so-called SpaceChips or smart-dust devices. These devices can offer highly distributed sensing when used in future swarm applications. However, they currently lack a feasible strategy for active orbit control. This paper proposes an orbit-control methodology for future SpaceChip devices, which is based on exploiting the effects of solar radiation pressure using electrochromic coatings. The concept presented makes use of the high area-to-mass ratio of these devices and, consequently, the large force exerted upon them by solar radiation pressure to control their orbit evolution by altering their surface optical properties. The orbital evolution of SpaceChips due to solar radiation pressure can be represented by a Hamiltonian system, allowing an analytic development of the control methodology. The motion in the orbital element phase space resembles that of a linear oscillator, which is used to formulate a switching control law. Additional perturbations and the effect of eclipses are accounted for by modifying the linearized equations of the secular change in orbital elements around an equilibrium point in the phase space of the problem. Finally, the effectiveness of the method is demonstrated in a test case scenario.

关键词： Optical Properties Eclipses control algorithm Orbital Eccentricity Earth Solar Radiation Orbital Elements Right Ascension Solar Sail Time Optimal control

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Development and Evaluation of control algorithms for AUVs Using a Virtual Environment Testbed

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IFAC Proceedings Volumes 1997年第22期30卷 23-34页

作者： Denis Gračanin Kimon P. Valavanis Maja Matijašević Virtual Reality and Multimedia Laboratory University of Southwestern Louisiana P.O. Box 44330 Lafayette LA 70504 USA Center for Advanced Computer Studies University of Southwestern Louisiana P.O. Box 44330 Lafayette LA 70504 USA

A virtual environment based testbed offers an alternative to difficult, costly, and possibly hazardous real-time testing and evaluation of control algorithms for Autonomous Underwater Vehicles (AUVs). Various methods are used in the testbed to model the vehicle and its environment. Pertinent control algorithms are integrated with the testbed through sensor and control interfaces. The sensor interface uses environment modeling to provide input for control algorithms. The control interface interprets the output from the control algorithm and moves the vehicle accordingly. A path planning algorithm is described to illustrate this approach. Finally, some implementation issues and results are discussed.

关键词： Autonomous vehicles control algorithm Distributed simulation Simulators Vehicle simulators Virtual reality

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Train control simulation based on CMAC-PID algorithm

Train control simulation based on CMAC-PID algorithm

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25th Chinese control and Decision Conference (CCDC)

作者： Xu, Wei Xiao, Baodi China Acad Railway Sci Signal & Commun Res Inst Beijing 100081 Peoples R China

ISBN: (纸本)9781467355322;9781467355339

For the problem that the motion model of metro car is highly nonlinear unstable A multivariable coupled and uncertain model, train ATOoptimization control attracts more and more attention. A control curve trackingmethodbased on CMAC-PID algorithm is presented in this paper. The basic control law is designed by adaptive learning, which canovercome the phenomenaovershoot and ineffective convergence on conventional PID algorithm. Partly restrain the effects of model parameters perturbation and external disturbances. According to the simulation experiments, the approach improves the existing system in the aspects of tracking abilityand robustness, which finally obtain satisfactory conclusion.

关键词： CMAC-PID control algorithm Train control ATO

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