Pigeon-inspired optimization(PIO) is a new swarm intelligence optimization algorithm, which is inspired by the behavior of homing pigeons. A variant of pigeon-inspired optimization named multi-objective pigeon-inspire...
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Pigeon-inspired optimization(PIO) is a new swarm intelligence optimization algorithm, which is inspired by the behavior of homing pigeons. A variant of pigeon-inspired optimization named multi-objective pigeon-inspired optimization(MPIO) is proposed in this paper. It is also adopted to solve the multi-objective optimization problems in designing the parameters of brushless direct current motors, which has two objective variables, five design variables, and five constraint variables. Furthermore, comparative experimental results with the modified non-dominated sorting genetic algorithm are given to show the feasibility, validity and superiority of our proposed MIPO algorithm.
This paper is devoted to event-triggered control design for linear systems based on function observer. More specifically, the main purpose is to design event-triggered mechanisms that trigger transmissions when the di...
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This paper aims to study the stability and stabilization of a class of discrete-time Markov jump singular systems with general uncertain transition *** conditions are proposed for the stochastic admissibility by using...
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ISBN:
(纸本)9781467397155
This paper aims to study the stability and stabilization of a class of discrete-time Markov jump singular systems with general uncertain transition *** conditions are proposed for the stochastic admissibility by using linear matrix inequalities(LMIs),a sufficient condition is given to ensure the existence of a state feedback controller and an output feedback controller under the condition of general uncertain transition rates.
This paper investigates the quaternion-based attitude stabilization problem for spacecraft without using explicit velocity feedback in the presence of torque magnitude limit. As a stepping stone, a nonlinear output fe...
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ISBN:
(纸本)9781467374439
This paper investigates the quaternion-based attitude stabilization problem for spacecraft without using explicit velocity feedback in the presence of torque magnitude limit. As a stepping stone, a nonlinear output feedback attitude control is designed by involving a linear passivity filter, which is derived without explicit differentiation of attitude to synthesize angular velocity-like signals. Then, the control law is redesigned such that the actuator-magnitude constraint is explicitly taken into account, and the associated stability proof is accomplished by the development of a novel Lyapunov function candidate containing integral terms involving the various states. The proposed controller achieves asymptotic stabilization with saturated inputs and is robust to parametric uncertainty in the spacecraft inertia matrix. Simulation results are included to illustrate the performance of the proposed output feedback control strategy.
Hot-line Maintenance Robots are widely applied to the repair and maintenance of the transmission lines and electrical equipment. Hot-line operation tasks tend to complexity, diversity and harsh environments. Duce to t...
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ISBN:
(纸本)9781509041039
Hot-line Maintenance Robots are widely applied to the repair and maintenance of the transmission lines and electrical equipment. Hot-line operation tasks tend to complexity, diversity and harsh environments. Duce to the advantages of humanoid property, Hot-line Dual-arm robots will get more applied in areas such as detecting, repairing and maintaining of modern power grid. Currently, master-slave control is the normally used control mode for the Hot-line Dual-arm robots. So the tracking control technology is the key skill of the Hot-line Dual-arm operation. To guarantee the security, precision and dynamic property of the Hot-line Dual-arm operation, it is necessary to have a reliable tracking algorithm for Hot-line Dual-arm robots. This paper presents a tracking control algorithm based on DMC for Hot-line Dual-arm robots. Simulation results demonstrate that this algorithm can reach a precise and effective tracking control of the robots.
This paper presents a pump motor modeling and optimization method based on electromagnetic calculation and BP neural network. This method, according to the structure parameters of three-phase asynchronous motor in dra...
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ISBN:
(纸本)9781467386456
This paper presents a pump motor modeling and optimization method based on electromagnetic calculation and BP neural network. This method, according to the structure parameters of three-phase asynchronous motor in drainage pump, through the motor electromagnetic calculation, calculates the motor performance. It establishes a BP neural network model to fitting flow and water head for hydraulic performance of the pump. Combine motor electro-magnetic calculation model with pump hydraulic fitting model, an integrated model of pump and motor is built. Use simulated annealing genetic algorithm as optimization method, optimizes the structure parameters of the motor. The main function of this method is, maintain the input shaft power put into the pump, and intelligently search the optimal motor parameters. At the same time, accurate matches the motor performance with the pump load characteristic, reduce the supporting motor power.
This paper presents a mathematical model of torque motor based on the magnetic circuit *** establishing equivalent magnetic circuit,the internal magnetic field of torque motor is *** that,the output torque can be *** ...
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ISBN:
(纸本)9781467383196
This paper presents a mathematical model of torque motor based on the magnetic circuit *** establishing equivalent magnetic circuit,the internal magnetic field of torque motor is *** that,the output torque can be *** results of this model are verified by three-dimension finite element analysis and conform well with the *** obtained results can be utilized in the realization of system optimization including the adjustment of structure parameter,material parameter and improvement of design.
Formation control problems for linear multi-agent systems with switching and directed topologies are investigated. A consensus based protocol is constructed using local neighboring information. An algorithm consisting...
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ISBN:
(纸本)9781509035502
Formation control problems for linear multi-agent systems with switching and directed topologies are investigated. A consensus based protocol is constructed using local neighboring information. An algorithm consisting of three steps is presented to design the formation control protocol. The stability of the proposed algorithm is proven using the piecewise Lyapunov function theory. It is obtained that the predefined time-varying formation can be achieved by the linear multi-agent systems with switching directed topologies if the given time-varying formation belongs to the feasible formation set and the dwell time is larger than a positive threshold. A numerical simulation is provided to demonstrate the effectiveness of the theoretical results.
Drogue detection for vision-based probe-drogue autonomous aerial refueling is a challenging task due to disorderly motion of drogue caused by both the tanker wake vortex and atmospheric turbulence. In this paper, a dr...
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ISBN:
(纸本)9781467383196
Drogue detection for vision-based probe-drogue autonomous aerial refueling is a challenging task due to disorderly motion of drogue caused by both the tanker wake vortex and atmospheric turbulence. In this paper, a drogue detection method based on drogue inner part's shape features is proposed. Drogue detection is divided into two processes: rough detection and fine location of drogue. The drogue inner part's circular feature is introduced into the drogue rough detection model. Row-column scanning method is proposed to the fine location of drogue. The ellipse least-square fitting is used to obtain the drogue contours' center. Based on drogue image size and drogue image position, we can obtain the tracking region of interest (ROI) area. We proposed a switch rule between drogue detection and drogue tracking. We have experiments on three real autonomous aerial refueling videos. The results show that the proposed method is effective.
This article proposes a numerical method based on equivalent model (NEM) for 6-3 Stewart platform forward kinematics problem (FKP). The NEM translates the forward kinematics problem into a ternary nonlinear equations ...
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This article proposes a numerical method based on equivalent model (NEM) for 6-3 Stewart platform forward kinematics problem (FKP). The NEM translates the forward kinematics problem into a ternary nonlinear equations system. Newton method was then used to solve the equations system. Simulations were conducted with different trajectories and allowable errors to compare the performance of NEM with traditional Newton-Raphson method (TNR). It turns out that NEM saves 50% iteration times, and 85% operation time of TNR, making the computing frequency as high as 54KHz, which is significant in real time control process. A practical structure of 6-3 Stewart platform without partial freedom was also designed.
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