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An Energy Efficient Control Strategy for Electric Vehicle Driven by In-Wheel-Motors Based on Discrete Adaptive Sliding Mode Control 认领 引用 被引量：3
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作者 Han Zhang Changzhi Zhou +1 位作者 Chunyan Wang Wanzhong Zhao 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2023年第2期302-313,共12页
This paper presents an energy-efficient control strategy for electric vehicles(EVs)driven by in-wheel-motors(IWMs)based on discrete adaptive sliding mode control(DASMC).The nonlinear vehicle model,tire model and IWM m... This paper presents an energy-efficient control strategy for electric vehicles(EVs)driven by in-wheel-motors(IWMs)based on discrete adaptive sliding mode control(DASMC).The nonlinear vehicle model,tire model and IWM model are established at first to represent the operation mechanism of the whole system.Based on the modeling,two virtual control variables are used to represent the longitudinal and yaw control efforts to coordinate the vehicle motion control.Then DASMC method is applied to calculate the required total driving torque and yaw moment,which can improve the tracking performance as well as the system robustness.According to the vehicle nonlinear model,the additional yaw moment can be expressed as a function of longitudinal and lateral tire forces.For further control scheme development,a tire force estimator using an unscented Kalman filter is designed to estimate real-time tire forces.On these bases,energy efficient torque allocation method is developed to distribute the total driving torque and differential torque to each IWM,considering the motor energy consumption,the tire slip energy consumption,and the brake energy~?recovery.Simulation results of the proposed control strategy using the co-platform of Matlab/Simulink and CarSim way. 展开更多
关键词 Electric vehicle Energy optimization Motion control Discrete adaptive sliding mode control
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A New Clustering Algorithm Using Adaptive Discrete Particle Swarm Optimization in Wireless Sensor Network 认领 引用 被引量：4
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作者 余朝龙 郭文忠 《Journal of Donghua University(English Edition)》 EI CAS 2012年第1期19-22,共4页
Wireless sensor networks (WSNs) are mainly characterized by their limited and non-replenishable energy supply. Hence, the energy efficiency of the infrastructure greatly affects the network lifetime. Clustering is one... Wireless sensor networks (WSNs) are mainly characterized by their limited and non-replenishable energy supply. Hence, the energy efficiency of the infrastructure greatly affects the network lifetime. Clustering is one of the methods that can expand the lifespan of the whole network by grouping the sensor nodes according to some criteria and choosing the appropriate cluster heads(CHs). The balanced load of the CHs has an important effect on the energy consumption balancing and lifespan of the whole network. Therefore, a new CHs election method is proposed using an adaptive discrete particle swarm optimization (ADPSO) algorithm with a fitness value function considering the load balancing and energy consumption. Simulation results not only demonstrate that the proposed algorithm can have better performance in load balancing than low-energy adaptive clustering hierarchy (LEACH), hybrid energy-efficient distributed clustering (HEED), and dynamic clustering algorithm with balanced load (DCBL), but also imply that the proposed algorithm can extend the network lifetime more. 展开更多
关键词 load balancing energy consumption balancing cluster head(CH) adaptive discrete particle swarm optimization (ADPSO)
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An operator methodology for the global dynamic analysis of stochastic nonlinear systems 认领 引用
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作者 Kaio C.B.Benedetti Paulo B.Goncalves +1 位作者 Stefano Lenci Giuseppe Rega 《Theoretical & Applied Mechanics Letters》 CAS CSCD 2023年第3期164-169,共6页
In a global dynamic analysis,the coexisting attractors and their basins are the main tools to understand the system behavior and safety.However,both basins and attractors can be drastically influenced by uncertainties... In a global dynamic analysis,the coexisting attractors and their basins are the main tools to understand the system behavior and safety.However,both basins and attractors can be drastically influenced by uncertainties.The aim of this work is to illustrate a methodology for the global dynamic analysis of nondeterministic dynamical systems with competing attractors.Accordingly,analytical and numerical tools for calculation of nondeterministic global structures,namely attractors and basins,are proposed.First,based on the definition of the Perron-Frobenius,Koopman and Foias linear operators,a global dynamic description through phase-space operators is presented for both deterministic and nondeterministic cases.In this context,the stochastic basins of attraction and attractors’distributions replace the usual basin and attractor concepts.Then,numerical implementation of these concepts is accomplished via an adaptative phase-space discretization strategy based on the classical Ulam method.Sample results of the methodology are presented for a canonical dynamical system. 展开更多
关键词 Stochastic dynamics Global nonlinear dynamics Coexisting attractors Operator methodology Adaptative discretization Noise
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Discrete Sliding Mode Control of an Input-output System with Stochastic Disturbance 认领 引用
4
作者 CAI Su-fen ZHANG Zhi-ping YIN Zeng-gang 《Chinese Quarterly Journal of Mathematics》 北大核心 2006年第3期423-433,共11页
This paper presents the discrete adaptive sliding mode control of input-output non-minimum phase system in the presence of the stochastic disturbance. The non-minimum phase system can be transformed into a minimum pha... This paper presents the discrete adaptive sliding mode control of input-output non-minimum phase system in the presence of the stochastic disturbance. The non-minimum phase system can be transformed into a minimum phase system by a operator. According to the minimum phase system, the controller and the adaptive algorithm we designed ensures the stability of system and holds that the mean-square deviation from the sliding surface is minimized. 展开更多
关键词 input-output system mean-square deviation the discrete adaptive sliding mode control
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Characteristic model-based consensus of networked heterogeneous robotic manipulators with dynamic uncertainties 认领 引用 被引量：9
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作者 WANG LiJiao MENG Bin 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2016年第1期63-71,共9页
In this paper, we address the characteristic model-based discrete-time consensus problem of networked robotic manipulators with dynamic uncertainties. The research objective is to achieve joint-position consensus of m... In this paper, we address the characteristic model-based discrete-time consensus problem of networked robotic manipulators with dynamic uncertainties. The research objective is to achieve joint-position consensus of multiple robotic agents interconnected on directed graphs containing a spanning tree. A novel characteristic model-based distributed adaptive control scenario is proposed with a state-relied projection estimation law and a characteristic model-based distributed controller. The performance analysis is also unfolded where the uniform ultimate boundedness(UUB) of consensus errors is derived by resorting to the discrete-time-domain stability analysis tool and the graph theory. Finally, numerical simulations illustrate the effectiveness of the proposed theoretical strategy. 展开更多
关键词 networked robotic manipulators consensus discrete time characteristic model distributed adaptive controller uniform ultimate boundedness（UUB）
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Delay-aware downlink beamforming with discrete rate adaptation for green cloud radio access network 认领 引用
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作者 Yu Zhi Wang Ke Ji Hong 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2017年第1期26-34,共9页
With the popularity of variety delay-sensitive services, how to guarantee the delay requirements for mobile users （MUs） is a great challenge for downlink beamformer design in green cloud radio access networks （C-R... With the popularity of variety delay-sensitive services, how to guarantee the delay requirements for mobile users （MUs） is a great challenge for downlink beamformer design in green cloud radio access networks （C-RANs）. In this paper, we consider the problem of the delay-aware downlink beamforming with discrete rate adaptation to minimize the power consumption of C-RANs. We address the problem via a mixed integer nonlinear program （MINLP）, and then reformulate the MINLP problem as a mixed integer second-order cone program （MI-SOCP）, which is a convex program when the integer variables are relaxed as continuous ones. Based on this formulation, a deflation algorithm, whose computational complexity is polynomial, is proposed to derive the suboptimal solution. The simulation results are presented to validate the effectiveness of our proposed algorithm. 展开更多
关键词 C-RAN delay-aware downlink beamfoming discrete rate adaptation green communication mixed integer second-order cone programming
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