作者:
Kamal, ElkhatibAdouane, LounisMenoufia Univ
Fac Elect Engn Dept Ind Elect & Control Engn Menoufia 32952 Egypt CNRS
UMR 6602 UCASIGMA Inst Pascal Innovat Mobil Smart & Sustainable Sol F-63000 Clermont Ferrand France
this chapter proposes an intelligent energy management for hydraulic-electric hybrid vehicle in order to minimize its total energy consumption while ensuring a better battery life. It proposes first to model the total...
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ISBN:
(纸本)9783030112929;9783030112912
this chapter proposes an intelligent energy management for hydraulic-electric hybrid vehicle in order to minimize its total energy consumption while ensuring a better battery life. It proposes first to model the total energy consumption of the vehicle and investigate the minimization of an expended energy function, formulated as the sum of electrical energy provided by on-board batteries and consumed fuel. More precisely, it is proposed in this chapter an intelligent hierarchical controller system which shows its capabilities of increasing the overall vehicle energy efficiency and therefore minimizing total energy consumption, permitting to increase the distance between refueling. the proposed strategy consists of fuzzy supervisory fault management at the highest level (third), that can detect and compensate the battery faults, regulate all of the possible vehicles operation modes. In the second level, an optimal controller is developed based on artificial intelligence to manage power distribution between electric motor and engine. then, in the first level, there are local fuzzy tuning proportional-integral-derivative controllers to regulate the set points of each vehicle subsystems to reach the best operational performance. TruckMaker/MATLAB simulation results confirm that the proposed architecture can satisfy the power requirement for any unknown driving cycles and compensate battery faults effects.
To date, most autonomous micro air vehicles (MAV-s) operate in a controlled environment, where the location of and attitude of the aircraft are measured be dedicated high-power computers with IR tracking capability. I...
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ISBN:
(纸本)9789897581496
To date, most autonomous micro air vehicles (MAV-s) operate in a controlled environment, where the location of and attitude of the aircraft are measured be dedicated high-power computers with IR tracking capability. If MAV-s are to ever exit the lab and carry out autonomous missions, their flight control systems needs to utilize on-board sensors and high-efficiency attitude determination algorithms. To address this need, we investigate the feasibility of using body schemas to carry out path planning in the vision space of the MAV. Body schemas are a biologically-inspired approach, emulating the plasticity of the animal brains, allowing efficient representation of non-linear mapping between the body configuration space, i.e. its generalized coordinates and the resulting sensory outputs. this paper presents a numerical experiment of generating landing trajectories of a miniature rotor-craft using the notion of body and image schemas. More specifically, we demonstrate how a trajectory planning can be executed in the image space using a pseudo-potential functions and a gradient-based maximum seeking algorithm. It is demonstrated that a neural-gas type neural network, trained through Hebbian-type learning algorithm can learn a mapping between the rotor-craft position/attitude and the output of its vision sensors. Numerical simulations of the landing performance of a physical model is also presented, the resulting trajectory tracking errors are less than 8 %.
Fractional order controller for a permanent magnet synchronous motor (PMSM) speed control system is proposed in this paper. the detailed systematic controller design procedures are discussed. Simulation and experiment...
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In the field of swarm robotics, the design and implementation of spatial density control laws has received much attention, with less emphasis being placed on performance evaluation. this work fills that gap by introdu...
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ISBN:
(纸本)9783030319939;9783030319922
In the field of swarm robotics, the design and implementation of spatial density control laws has received much attention, with less emphasis being placed on performance evaluation. this work fills that gap by introducing an error metric that provides a quantitative measure of coverage for use with any control scheme. the proposed error metric is continuously sensitive to changes in the swarm distribution, unlike commonly used discretization methods. We analyze the theoretical and computational properties of the error metric and propose two benchmarks to which error metric values can be compared. the first uses the realizable extrema of the error metric to compute the relative error of an observed swarm distribution. We also show that the error metric extrema can be used to help choose the swarm size and effective radius of each robot required to achieve a desired level of coverage. the second bench-mark compares the observed distribution of error metric values to the probability density function of the error metric when robot positions are randomly sampled from the target distribution. We demonstrate the utility of this benchmark in assessing the performance of stochastic control algorithms. We prove that the error metric obeys a central limit theorem, develop a streamlined method for performing computations, and place the standard statistical tests used here on a firm theoretical footing. We provide rigorous theoretical development, computational methodologies, numerical examples, and MATLAB code for both benchmarks.
this article presents the equation of motion for the aircraft in the turbulence. Based on these equations, a trajectory tracking controller is designed using the nonlinear dynamic inverse. In order to reject the distu...
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In this paper, a Hammerstein model with Preisach operator is proposed to model the rate-dependent hysteresis nonlinearity of a Giant Magnetostrictive Actuator (GMA). the Preisach operator is used to represent the nonl...
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the paper examines the synchronous machine oscillations. the linearized model of the synchronous machine was used for the eigenvalue analysis. the analysis shows that it is reasonable to apply adaptive stabilizer. the...
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A scheme of integrated guidance and control (IGC) is proposed for missiles steered by both canard and tail controls against ground fixed targets. the attack angle and pitch rate commands are generated by a guidance la...
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Aiming at multiple input uncertainty high-order nonlinear ball and plate system, a control strategy of cascade control with multiple auto-disturbance- rejection controls is proposed. To improve the adaptive ability of...
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Humanoid robots should be able to stand and walk despite reasonable external disturbances. this paper addresses the robustness of a humanoid robot to unknown disturbances. Although there are control methods to absorb ...
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