Closed-form Model Predictive control (MPC) results in a polytopic subdivision of the set of feasible states, where each region is associated with an affine control law. Solving the MPC problem on-line then requires de...
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Closed-form Model Predictive control (MPC) results in a polytopic subdivision of the set of feasible states, where each region is associated with an affine control law. Solving the MPC problem on-line then requires determining which region contains the current state measurement. This is the so-called point location problem. For MPC based on linear control objectives (e.g., 1- or ∞-norm), we show that this problem can be written as an additively weighted nearest neighbour search that can be solved on-line in time linear in the dimension of the state space and logarithmic in the number of regions. We demonstrate several orders of magnitude sampling speed improvement over traditional MPC and closed-form MPC schemes.
In this paper, a method for the parallel operation of inverters in an ac-distributed system is proposed. The paper explores the control of active and reactive power flow through the analysis of the output impedance of...
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In this paper, a method for the parallel operation of inverters in an ac-distributed system is proposed. The paper explores the control of active and reactive power flow through the analysis of the output impedance of the inverters and its impact on the power sharing. As a result, adaptive virtual output impedance is proposed in order to achieve a proper reactive power sharing regardless of the line impedance unbalances. A soft-start operation is also included, avoiding the initial current peak, which results in a seamless hot-swap operation. Active power sharing is achieved by adjusting the frequency in load transient situations only, thanks to which the proposed method obtains constant steady-state frequency and amplitude. As opposed to the conventional droop method, the transient response can be modified by acting on the main control parameters. Linear and nonlinear loads can be properly shared due to the addition of a current harmonic loop in the control strategy. Experimental results are presented from a two 6-kVA parallel-connected inverters system, showing the feasibility of the proposed approach.
Evolutionary algorithms are applied to the online generation of servo-motor controlsystems. In this paper, the evolving population of controllers is evaluated at run-time via hardware in the loop, rather than on a si...
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The area if Iterative Learning control (ILC) has emerged from robotics to form a new and exciting challenge for control theorists and practitioners. There is great potential for applications to systems with a naturall...
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The area if Iterative Learning control (ILC) has emerged from robotics to form a new and exciting challenge for control theorists and practitioners. There is great potential for applications to systems with a naturall...
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The area if Iterative Learning control (ILC) has emerged from robotics to form a new and exciting challenge for control theorists and practitioners. There is great potential for applications to systems with a naturally repetitive action where the transfer of data from repetition (trial or iteration) can lead to substantial improvements in tracking performance. Although many of the challenges met in controlsystems design are familiar, there are several serious issues arising from the “2D” structure of ILC and a number of new problems requiring new ways of thinking and design. This paper introduces some of these issues from the point of view of the research group at Sheffield University and, for simplicity of presentation, concentrates on the case of linear systems and the potential for the use of optimization methods to achieve effective control.
Evolutionary algorithms are applied to the on-line generation of servo-motor controlsystems. In this paper, the evolving population of controllers is evaluated at run-time via hardware in the loop, rather than on a s...
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Evolutionary algorithms are applied to the on-line generation of servo-motor controlsystems. In this paper, the evolving population of controllers is evaluated at run-time via hardware in the loop, rather than on a simulated model. Disturbances are also introduced at run-time in order to produce robust performance. Multiobjeciive optimisation of both PI and fuzzy logic controllers is considered. Finally an on-line implementation of genetic programming is presented based around the Simulink standard blockset. The on-line designed controllers are shown to be robust to both system noise and external disturbances while still demonstrating excellent steady-state and dynamic characteristics.
An analysis of the transportation systems used in the flexible manufacturing systems is introduced in the paper. Based on the analysis a class of the transportation systems is delimited, whose modeling and control is ...
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When the process uncertainty size increases, even linear minimum phase systems must sacrifice desirable aggressive feedback control benefits to avoid an excessive 'cost of feedback', while preserving the robus...
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Tracking feedback control trade-offs increase dangerously with arbitrarily large uncertainties in the process mode!. This is shown by the bounds in the QFT domain. In this context, the paper develops a theory on the c...
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An analysis of the transportation systems used in the flexible manufacturing systems is introduced in the paper. Based on the analysis a class of the transportation systems is delimited, whose modeling and control is ...
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An analysis of the transportation systems used in the flexible manufacturing systems is introduced in the paper. Based on the analysis a class of the transportation systems is delimited, whose modeling and control is the subject of the paper. Important property of those systems is unidirectional zone movements of the automatic guided vehicles and transport requirements occurring spontaneously during the work of the system. A special group of the colored Petri nets interpreted for control is used for the control specification. The Petri net helps to analyze the function of the transportation system and to write the control program.
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