This paper addresses the controller synthesis for a class of continuous-time switched positive linear systems. A sufficient condition for the existence of a set of state-feedback controllers which guarantee the positi...
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This paper addresses the controller synthesis for a class of continuous-time switched positive linear systems. A sufficient condition for the existence of a set of state-feedback controllers which guarantee the positivity and stability of the closed-loop systems for switched positive linear systems are presented, including the requirement of positive or negative controllers. In addition, the controller synthesis problems with interval and polytopic uncertainties are also addressed. All the obtained conditions are solved in terms of Linear Programming. Finally, numerical examples are provided to illustrate the effectiveness of the result.
The terminal guidance problem for missile intercepting maneuvering targets is investigated in this paper. To guarantee the disturbance rejection performance and alleviate the chattering problem, nonsingular terminal s...
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The terminal guidance problem for missile intercepting maneuvering targets is investigated in this paper. To guarantee the disturbance rejection performance and alleviate the chattering problem, nonsingular terminal sliding mode control(NTSMC) and finite-time disturbance observer(FTDO) are introduced to design the composite guidance law considering the first-order autopilot dynamics. In this paper, the target acceleration and some state variables are regarded as unknown bounded disturbances. Finite-time disturbance observer(FTDO) is employed to estimate the disturbances and estimations of disturbances are employed as feedforward compensation to weaken the influence of disturbances. The proposed guidance law can guarantee that the line of sight(LOS) angular rate converges to zero in finite time. Simulation comparisons show the effectiveness of the proposed method.
Using interconnection and damping assignment-passivity based control (IDA-PBC) method, this paper investigates the coordinated control of excitation and static var compensator (SVC) in multi-machine power systems. By ...
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Using interconnection and damping assignment-passivity based control (IDA-PBC) method, this paper investigates the coordinated control of excitation and static var compensator (SVC) in multi-machine power systems. By using Hamiltonian function method, energy-shaping approach and IDA-PBC method, a nonlinear coordinated controller of excitation and SVC is constructed. The proposed coordinated controller can adequately use the physical characteristic of the power system to change transformation of energy between the electrical and the mechanical dynamics. Simulation results verify that the proposed coordinated controller can effectively improve the transient stability and voltage regulation performance of power system.
An optimal control problem of switched affine systems with continuous-time inequality constraints is considered in this paper. By introducing auxiliary piecewise constant function, Fischer-Burmeister function, control...
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An optimal control problem of switched affine systems with continuous-time inequality constraints is considered in this paper. By introducing auxiliary piecewise constant function, Fischer-Burmeister function, control parametrization enhancing transform (CPET) and smoothing technique, the optimal control problem is transformed into a parameter optimization problem with a single linear equality constraint and simple bounds on the variables. Then, the original problem can be solved using any gradient-based method. Finally, a flying capacitor converter is solved to illustrate the efficiency of our method.
This paper investigates the problem of sensitivity analysis for switched autonomous systems involving uncertain parameters. The aim is to find switching instants which minimizes the cost function, and meanwhile makes ...
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ISBN:
(纸本)9781479937097
This paper investigates the problem of sensitivity analysis for switched autonomous systems involving uncertain parameters. The aim is to find switching instants which minimizes the cost function, and meanwhile makes it robust to the variation of the original objective with respect to unknown parameters. We focus on the fixed switching mode sequences and convert the sensitivity problem into a conventional optimal switched control problem, which can be solved directly using the gradient descent algorithm. The efficacy of the proposed method is illustrated via numerical example.
Current paint deposition modeling approaches did not consider the influence of variable spraying parameters. As spray painting robot has been widely used in paint application, there is a great need to be able to gener...
Current paint deposition modeling approaches did not consider the influence of variable spraying parameters. As spray painting robot has been widely used in paint application, there is a great need to be able to generate paint deposition model efficiently for robot path planning and simulation. In this paper, a layered framework for paint deposition modeling system is proposed, which uses the Back-Propagation（BP） neural network to model the relationship between spraying parameters（flow rate and atomizing pressure） and the paint deposition model. By using this modeling system, it isn’t necessary for users to conduct extra experiments when flow rate and atomizing pressure change. According to results of experiment and simulation, this method can predict paint deposition rate effectively.
The problem of fault-tolerant control is discussed for the longitudinal model of an airbreathing hypersonic vehicle （AHV） with actuator faults and external disturbances. Firstly, a fault-tolerant control strategy is...
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The problem of fault-tolerant control is discussed for the longitudinal model of an airbreathing hypersonic vehicle （AHV） with actuator faults and external disturbances. Firstly, a fault-tolerant control strategy is presented for the longitudinal model of an AHV, which guarantees that velocity and altitude track their reference trajectories at an exponential convergence rate. However, this method needs to know the minimum value of the actuator efficiency factor and the upper bound of the external disturbances, which makes it not easy to implement. Then an improved adaptive fault-tolerant control scheme is proposed, where two adaptive laws are employed to estimate the upper bound of the external disturbances and the minimum value of the actuator efficiency factor, respectively. Secondly, the problem of designing a control scheme with control constraints is further considered, and a new adaptive fault-tolerant control strategy with input saturation is designed to guarantee that velocity and altitude track their reference trajectories. Finally, simulation results are given to show the effectiveness of the proposed methods.
This work was supported by National Natural Science Foun- dation of China （Nos. 60905009, 61004032, 61104119, 61174076, and 61172135）, and Jiangsu Province Natural Science Foundation （Nos. SBK201240801 and BK20123...
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This work was supported by National Natural Science Foun- dation of China （Nos. 60905009, 61004032, 61104119, 61174076, and 61172135）, and Jiangsu Province Natural Science Foundation （Nos. SBK201240801 and BK2012384.）
Dual-rotor axial field flux-switching permanent magnet (DRAFFSPM) machine is a novel permanent magnet (PM) machine which incorporates the merits of both the flux-switching PM machine and the axial field PM machine. Th...
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ISBN:
(纸本)9781479951635
Dual-rotor axial field flux-switching permanent magnet (DRAFFSPM) machine is a novel permanent magnet (PM) machine which incorporates the merits of both the flux-switching PM machine and the axial field PM machine. The cogging torque of the DRAFFSPM machine is high due to the flux focusing which is caused by the double salient structure. In order to reduce the cogging torque, the influence of the rotor pole width and shape on the cogging torque is analyzed based on the 3D finite element (FE) method. The cogging torque reduction methods, such as the rotor skewing, rotor notching, and rotor pole displacement, etc., are investigated. The results show that increasing the rotor pole width and adopting fan-shaped rotor pole can decrease the cogging torque greatly. The cogging torque can be reduced by ~77% when the rotor pole width and rotor fan-shaped angle are optimized to 15.5 deg. and 3 deg., respectively. The cogging torque can't be decreased by the rotor skewing for DRAFFSPM machine. However, the cogging torque can be reduced by rotor notching and rotor pole displacement.
The results of traditional traffic status analysis are mostly single values,whose accuracy can’t be determined;fuzzy c-means clustering(FCM)algorithm based on fuzzy theory can calculate the clustering center of plent...
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The results of traditional traffic status analysis are mostly single values,whose accuracy can’t be determined;fuzzy c-means clustering(FCM)algorithm based on fuzzy theory can calculate the clustering center of plenty data quickly and easily;linguistic dynamic systems could describe the dynamic rules of complexsystems in the language *** this paper,membership functions are decided by FCM;result of a specific time period taken as one example is obtained;it’s discussed that linguistic dynamic analysis of traffic status in different period within a day by the same method.
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