In this paper we propose a novel control architecture to manage a large fleet of thermal loads and adjust traditional power plant generation setpoints for reference tracking and production costs minimization. The time...
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ISBN:
(纸本)9781479925582
In this paper we propose a novel control architecture to manage a large fleet of thermal loads and adjust traditional power plant generation setpoints for reference tracking and production costs minimization. The time scales considered are determined by sampling times of a few seconds and control horizons of a few minutes. The control architecture consists in a modelpredictivecontroller (MPC) combined with a block called index generator. The index generator receives aggregated control signals from the MPC and splits these among individual loads while satisfying temperature and switching constraints of the controlled appliances. It then computes an updated estimate of the aggregated controllability of the loads and provides this to the MPC for setpoint calculations. This control architecture facilitates handling very large numbers of single thermal appliances and tens of traditional generation units with very small computational efforts. We assess the added value of controlling thermal loads by implementing our control architecture within a simulation framework which accurately represents the Dutch power system.
In this paper we propose a modelpredictivecontroller for spacecraft attitude tracking with reaction wheel actuators. The controller is designed for desaturation of the reaction wheels. In contrast with standard desa...
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ISBN:
(纸本)9781467371605
In this paper we propose a modelpredictivecontroller for spacecraft attitude tracking with reaction wheel actuators. The controller is designed for desaturation of the reaction wheels. In contrast with standard desaturation techniques, which rely on the activation of thrusters, the proposed strategy does not need to consume fuel as it exploits external torques derived from gravity gradients and/or the Earth magnetic field. The controller also guarantees that the spacecraft attitude is constrained within specified bounds during desaturation.
In this paper the modelpredictivecontrol (MPC) strategy is used to solve the mobile robot trajectory tracking problem, where controller must ensure that robot follows pre-calculated trajectory. The so-called explici...
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ISBN:
(纸本)9781457708381
In this paper the modelpredictivecontrol (MPC) strategy is used to solve the mobile robot trajectory tracking problem, where controller must ensure that robot follows pre-calculated trajectory. The so-called explicit optimal controller design and implementation are described. The MPC solution is calculated off-line and expressed as a piecewise affine function of the current state of a mobile robot. A linearized kinematic model of a differential drive mobile robot is used for the controller design purpose. The optimal controller, which has a form of a look-up table, is tested in simulation and experimentally.
Traditionally modelpredictivecontrol (MPC) has been mainly restricted to processes with rather slow dynamics and with sampling times ranging from a few minutes to hours, such as the ones encountered in the areas of ...
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ISBN:
(纸本)9781479904297
Traditionally modelpredictivecontrol (MPC) has been mainly restricted to processes with rather slow dynamics and with sampling times ranging from a few minutes to hours, such as the ones encountered in the areas of (petro)chemicals, minerals and metals. However, recent algorithmic advances (such as the explicit approach for MPC) allowed the application of MPC to problems arising in the automotive or power electronics industry where the time scales are in the millior even the microsecond area. In this study we aim to push the limit of explicit MPC even further by exploiting the computational power offered by parallel CPU architectures. We present the parallelisation of three different algorithms and we report experimental results showing how for certain problems, the parallelisation offers performances that top state-of-the-art approaches.
This paper presents a novel finite-set modelpredictivecontrol technique with a fixed switching frequency for a 5-level FCC converter. Standard implementations of finite-set modelpredictivecontrol (FS-MPC) are typi...
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ISBN:
(纸本)9781479904839
This paper presents a novel finite-set modelpredictivecontrol technique with a fixed switching frequency for a 5-level FCC converter. Standard implementations of finite-set modelpredictivecontrol (FS-MPC) are typically characterised by a variable switching frequency, a high noise floor and a large voltage and current ripple. A method is proposed by selecting a fixed switching period and dividing it into smaller evaluation steps. The switching behaviour is obtained by using the analogy of PWM with triangular carriers to define regions during which only specific switching transitions are allowed. To account for the repetitive nature of the desired switching waveform, an average receding horizon prediction method is used. An anticipated prediction is made by calculating the average value for one switching period ahead, according to the position and state in the current switching period. The control method was practically implemented and evaluated, proved to be feasible and provided satisfactory results.
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