Transient regimes arise when the propeller of a ship is operating in extreme seas, where ventilation and in-and-out of water effects results in loss of propeller thrust. By introducing Lyapunov based controller state ...
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Transient regimes arise when the propeller of a ship is operating in extreme seas, where ventilation and in-and-out of water effects results in loss of propeller thrust. By introducing Lyapunov based controller state reset, the performance in transient regimes may be increased without influencing the performance in calm seas. Improvements have been presented previously for dynamically positioned (DP) vessels. Transit operations, however, introduces additional losses due to variations in the propeller advance velocity. The controller in this paper combines an existing shaft speed reference generator that uses an estimate of the propeller torque losses with a PI shaft speed control law with integrator reset. Moreover, an anti-spin strategy is included to be able to operate also in extreme seas. The method is experimentally validated in a towing tank.
This paper considers the position control problem of an underwater vehicle used in the exploitation of combustible gas deposits at great water depths. The vehicle is subjected to different load configurations, which i...
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This paper considers the position control problem of an underwater vehicle used in the exploitation of combustible gas deposits at great water depths. The vehicle is subjected to different load configurations, which introduce considerable variations of its mass and inertial parameters. The ensemble of possible vehicle configurations are known, but, it is here assumed that neither the time instants when these changes occur nor the new vehicle configuration following the change are "a priori" known. To cope with this problem, a switching scheme governed by two Decision Makers (DM) operating at two different hierarchical levels is proposed. Multiple plant models are defined to describe the different possible operative conditions of the vehicle. The task of the hierarchically higher Decision Maker (DM1) is to identify the model which refers to the current vehicle configuration and to drive the control law towards that corresponding to the actual operating condition. For each fixed model of the vehicle, a family of PID regulators is defined. Each PID is designed so as to obtain a specific desired feature of the step response and the hierarchically lower Decision Maker (DM2) governs the switching among them to obtain an overall time-varying control law yielding a globally satisfactory output behaviour. The performance of the doubly switched controller so obtained is evaluated by numerical simulations.
Multiple Model Adaptive Control involves a supervisor switching among one of a finite number of controllers as more is learnt about the plant. Safe Adaptive Control is concerned with ensuring that when the controller ...
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Multiple Model Adaptive Control involves a supervisor switching among one of a finite number of controllers as more is learnt about the plant. Safe Adaptive Control is concerned with ensuring that when the controller is changed in an adaptive control algorithm, the frozen plant-controller combination is never (closed loop) unstable. A controller scheme is proposed that combines these principles and involves a frequency-dependent performance measure based on the Vinnicombe metric. Safe switching is guaranteed to the extent which closed loop transfer function identification is accurate.
Although many robust controllers have been proposed for the systems with uncertainties, most of them were too conservative. So, some design scheme of the controller satisfying both the robust stability and the good co...
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Although many robust controllers have been proposed for the systems with uncertainties, most of them were too conservative. So, some design scheme of the controller satisfying both the robust stability and the good control performance has been desired. In this paper, a design scheme of a robust PID controller is proposed, which is composed of an adaptive switching scheme and some robust PID sub-controllers switched by the former according to a certain property of the controlled object. Finally, the proposed control scheme is investigated on a numerical simulation example.
The adaptive cruise control system maintains the appropriate distance to the lead vehicle when a lead vehicle exists, otherwise, it maintains the desired speed. These two objectives may be achieved by having two contr...
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The adaptive cruise control system maintains the appropriate distance to the lead vehicle when a lead vehicle exists, otherwise, it maintains the desired speed. These two objectives may be achieved by having two controllers, one for each objective, and a control mode switching logic. Introducing the virtual lead vehicle, however, only the distance control algorithm is used and the structure of the system can be significantly simplified. The speed and the location of the virtual vehicle are given by the control system according to the current situation. Smoother responses are achieved by the virtual lead vehicle scheme compared to the conventional mode switching scheme. The virtual lead vehicle scheme also generates smooth reaction for the host vehicle when the lead vehicle cut out or a vehicle cuts in from a side lane.
A hybrid sliding mode control strategy for a class of second order systems is presented in this paper. It is characterized by an event-driven gain reduction mechanism relying on a decomposition of the system state int...
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A hybrid sliding mode control strategy for a class of second order systems is presented in this paper. It is characterized by an event-driven gain reduction mechanism relying on a decomposition of the system state into regions. By enforcing sliding mode behaviors on a suitable set of sliding manifolds, while avoiding the generation of limit cycles, the proposed strategy proves to globally asymptotically stabilize the origin of the system state space.
Recently, applications of multiagent system are expected from the viewpoint of parallel and distributed processing of systems. Reinforcement learning attracts attention as an implementing method of the multiagent syst...
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Recently, applications of multiagent system are expected from the viewpoint of parallel and distributed processing of systems. Reinforcement learning attracts attention as an implementing method of the multiagent systems. However, there is a problem that the more the number of agents to deal with increases, the slower the speed of learning becomes. To solve this problem, we propose a new reinforcement learning that can learn quickly and reduce the amount of memory. It tries to increase learning efficiency of hunter games by paying attention to partial state of two agents among a large number of agents.
The paper is devoted to development of control algorithms for nonlinear paramet-rically uncertain systems. Original system dynamics is approximated by a set of local NARX models combined by a special mixing rule. Algo...
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The paper is devoted to development of control algorithms for nonlinear paramet-rically uncertain systems. Original system dynamics is approximated by a set of local NARX models combined by a special mixing rule. Algorithm for local models' parameters estimation and structure adjustment has been developed. Proposed approach allows straightforward designing of the combined feedforward/feedback controller.
The plane Least Squares Algorithm has a relative good convergence to the stationary value of a process. Not the same about those which detains random flow mode changes or parameter slithering with comparable orders wi...
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The plane Least Squares Algorithm has a relative good convergence to the stationary value of a process. Not the same about those which detains random flow mode changes or parameter slithering with comparable orders with the process noises. The method has appeared as solution of a practical on-line identification problem of a technological flow for an accurate row materials dosage. The usage of the low performances existing computing resources is a sine-qua-non condition.
The paper deals with decentralized control. Firstly an introduction part is given. After this part there is given the theoretical background, which includes the description of multivariable controlled systems with dis...
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ISBN:
(纸本)9783901509575
The paper deals with decentralized control. Firstly an introduction part is given. After this part there is given the theoretical background, which includes the description of multivariable controlled systems with disturbance and one way of decentralized control, namely the decentralized control of "P" structure of two variable system. This is followed by the main part of the paper, the formulation of the theoretical preliminaries of new modification of decentralized control including the order reduction, switching algorithm and pre-identification.
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