This article presents an adaptive optimal control method for a semi-active suspension *** model of the suspension system is built,in which the components of uncertain parameters and exogenous disturbance are *** adapt...
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This article presents an adaptive optimal control method for a semi-active suspension *** model of the suspension system is built,in which the components of uncertain parameters and exogenous disturbance are *** adaptive optimal control law consists of the sum of the optimal control component and the adaptive control ***,the optimal control law is designed for the model of the suspension system after ignoring the components of uncertain parameters and exogenous disturbance caused by the road *** optimal control law expresses the desired dynamic characteristics of the suspension ***,the adaptive component is designed with the purpose of compensating for the effects caused by uncertain parameters and exogenous disturbance caused by the road surface;the adaptive component has adaptive parameter rules to estimate uncertain parameters and exogenous *** exogenous disturbances are eliminated,the system responds with an optimal controller *** separating theoretically the dynamic of a semi-active suspension system,this solution allows the design of two separate controllers easily and has reduced the computational burden and the use of too many tools,thus allowing for more convenient hardware *** simulation results also show the effectiveness of damping oscillations of the proposed solution in this article.
To improve pure integral calculations with integral drift and dc bias, and poor dynamic response under conventional direct power control, a grid-voltage sensorless predictive current control strategy of three-phase PW...
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Numerous complex nonlinear systems in the real-world constantly suffer from random noises, which contribute to the enormous challenge of system control. Additionally, unknown powers in nonlinear systems always lead to...
Numerous complex nonlinear systems in the real-world constantly suffer from random noises, which contribute to the enormous challenge of system control. Additionally, unknown powers in nonlinear systems always lead to the inapplicability of many reported control methods. This article investigates the control issue of stochastic systems which contain complicated nonlinearities and unknown system powers. With the newly constructed Lyapunov function, as well as the control algorithm presented in this work, the authors successfully obtain a controller so that the closed-loop system is semiglobally finite-time stable in probability(SGFSP). Besides, the system output can trackthe reference signal fast. The presented method significantly enlarges the range of application for nonlinear systems. The presented strategy is successfully applied to the liquid-level system.
This study addresses the fixed-time-synchronized control problem of perturbed multi-input multioutput(MIMO) systems. In the task of fixed-time-synchronized control, different dimensions of the output signal in MIMO sy...
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This study addresses the fixed-time-synchronized control problem of perturbed multi-input multioutput(MIMO) systems. In the task of fixed-time-synchronized control, different dimensions of the output signal in MIMO systems are required to reach the desired value simultaneously within a fixed time *** MIMO system is categorized into two cases: the input-dimension-dominant and the state-dimensiondominant cases. The classification is defined according to the dimension of system signals and, more importantly, the capability of converging at the same time. For each kind of MIMO system, sufficient Lyapunov conditions for fixed-time-synchronized convergence are explored, and the corresponding robust sliding mode controllers are designed. Moreover, perturbations are compensated using the super-twisting technique. The brake control of the vertical takeoff and landing aircraft is considered to verify the proposed method for the input-dimension-dominant case, which shows the essential advantages of decreasing the energy consumption and the output trajectory length. Furthermore, comparative numerical simulations are performed to show the semi-time-synchronized property for the state-dimension-dominant case.
With the widespread application of legged robot in various fields,the demand for a robot with high locomotion and manipulation ability is *** an extra arm is a useful but general method for a legged robot to obtain ma...
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With the widespread application of legged robot in various fields,the demand for a robot with high locomotion and manipulation ability is *** an extra arm is a useful but general method for a legged robot to obtain manipulation ***,this paper proposes a novel hexapod robot with two integrated leg–arm limbs that obtain dexterous manipulation functions besides locomotion ability without adding an extra *** manipulation modes can be divided into coordinated manipulation condition and single-limb manipulation *** former condition mainly includes fixed coordinated clamping case and fixed coordinated shearing *** the fixed coordinated clamping case,the degrees of freedom(DOFs)analysis of equivalent parallel mechanism by using screw theory and the constraint equation of two integrated limbs are *** the fixed coordinated shearing case,the coordinated working space is determined,and an ideal coordinated manipulation ball is presented to guide the coordinated shearing *** addition,the constraint analysis of two adjacent integrated limbs is ***,mobile manipulation with one integrated leg–arm limb while using pentapod gait is discussed as the single-limb manipulation condition,including gait switching analysis between hexapod gait and pentapod gait,different pentapod gaits analysis,and a complex six-DOF manipulation while *** experiments are implemented,including clamping tasks with two integrated limbs,coordinated shearing task by using two integrated limbs,and mobile manipulation with pentapod *** robot provides a new approach to building a multifunctional locomotion platform.
The integration of photovoltaic (PV) systems into weak-grid environments presents unique challenges to the stability of grid-connected inverters. This review provides a comprehensive overview of the research efforts f...
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The integration of photovoltaic (PV) systems into weak-grid environments presents unique challenges to the stability of grid-connected inverters. This review provides a comprehensive overview of the research efforts focused on investigating the stability of PV grid-connected inverters that operate under weak grid conditions. Weak grids are characterized by a low short-circuit capacity and low inertia, making it essential to explore strategies that enhance the stability and performance of inverters in such challenging environments. This review covers various aspects, including control strategies and advanced technologies implemented to address stability problems. The research findings related to the impact of weak grid conditions on PV inverters, modeling techniques, and analysis results are discussed. Additionally, this review highlights emerging trends, identifies gaps in the current research, and suggests potential avenues for future investigations aimed at improving the stability of PV grid-connected inverters in weak grid scenarios.
Cooperative adaptive cruise control (CACC) is regarded as a promising technology for achieving efficient and safe collaboration among connected and automated vehicles (CAVs) in a platoon, and multiagent reinforcement ...
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The propagation characteristics of guided waves (GW) are related to both the material, loading and geometry parameters. A dispersion calculator of GW propagating in the complex geometry with anisotropic material param...
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The concept of aborted lane-change is introduced in this paper, and the lane-change decisions are divided into four states: lane-keeping, lane-change, keeping lane-change and aborting lane-change. Considering the lane...
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Image dehazing is a challenging task in image enhancement. Due to the widespread presence of haze, it obscures scenes leading to loss of image features, and consequently, failure of visual tasks. To address this issue...
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