Indoor Air Quality (IAQ) along with the call for energy-saving has become a hot research topic in recent years. Low ventilation rate consumes less energy but may result in poor air quality, causing health issues for o...
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ISBN:
(纸本)9781509017386
Indoor Air Quality (IAQ) along with the call for energy-saving has become a hot research topic in recent years. Low ventilation rate consumes less energy but may result in poor air quality, causing health issues for occupants in the long run. Conventional ventilation strategies often result in imbalance in multiple zones served by one HVAC system considering different number of occupants in each zone. This paper presents a model-based control of CO, concentration for multi-zone ACB air-conditioning systems aiming at achieving a high IAQ level. A multi-zone CO2 concentration model is established which takes into account the coupling between neighbour zones. Genetic Algorithm (GA) and Least Squares Method (LSM) are used for parameter identification of the CO2 model. A control strategy is proposed for the intake airflow rate so that the desired level of the CO2 concentration can be achieved in the presence of varying number of occupants. Simulations are given to validate the proposed control design.
The Brushless Doubly Fed Reluctance Machine (BDFRM) is an emerging alternative for variable speed drive systems, providing a significant downsizing of the power electronics converter. This paper proposes a new view on...
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The Brushless Doubly Fed Reluctance Machine (BDFRM) is an emerging alternative for variable speed drive systems, providing a significant downsizing of the power electronics converter. This paper proposes a new view on the machine equations, allowing the reuse of the standard control system design for conventional synchronous and asynchronous machines: a cascade control system with an inner current control- and outer speed control loop. The assumptions and simplifications made on the machine model allow for a simple, model-based approach to set the controller gains in a brushless doubly fed machine drive system. The cascade control scheme is combined with an Unscented Kalman Filter as a state observer, capable of estimating the load torque and losses. The performance of the proposed control system design is checked in simulation and tested in real-time on a low power BDFRM prototype.
While the homogeneous charge compression ignition (HCCI) combustion has its advantages of high thermal efficiency with low emissions, its operational range is limited in both engine speed and load. To utilize the adva...
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While the homogeneous charge compression ignition (HCCI) combustion has its advantages of high thermal efficiency with low emissions, its operational range is limited in both engine speed and load. To utilize the advantage of the HCCI combustion, an HCCI capable spark ignition (SI) engine is required. One of the key challenges of developing such an engine is to achieve smooth mode transition between SI and HCCI combustion, where the in-cylinder thermal and charge mixture properties are quite different due to the distinct combustion characteristics. In this paper, a control strategy for smooth mode transition between SI and HCCI combustion is developed and experimentally validated for an HCCI capable SI engine equipped with electrical variable valve timing (EVVT) systems, dual-lift valves, and electronic throttle control (ETC) system. During the mode transition, the intake manifold air pressure is controlled by tracking the desired throttle position updated cycle-by-cycle;and an iterative learning fuel mass controller, combined with sensitivity-based compensation, is used to manage the engine torque in terms of net mean effective pressure (NMEP) at the desired level for smooth mode transition. Note that the NMEP is directly correlated to the engine output torque. Experiment results show that the developed controller is able to achieve smooth combustion mode transition, where the NMEP fluctuation is kept below 3.8% during the mode transition.
Parallel robots based on Handed Shearing Auxetics (HSAs) can implement complex motions using standard electric motors while maintaining the complete softness of the structure, thanks to specifically designed architect...
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Parallel robots based on Handed Shearing Auxetics (HSAs) can implement complex motions using standard electric motors while maintaining the complete softness of the structure, thanks to specifically designed architected metamaterials. However, their control is especially challenging due to varying and coupled stiffness, shearing, non-affine terms in the actuation model, and underactuation. In this paper, we present a model-based control strategy for planar HSA robots enabling regulation in task space. We formulate equations of motion, show that they admit a collocated form, and design a P-satI-D feedback controller with compensation for elastic and gravitational forces. We experimentally identify and verify the proposed control strategy in closed loop.
This paper aims at studying the robustness of an adaptive optimal control approach initially proposed for optimizing membrane systems and limit energy requirements due to membrane fouling. It is shown that the propose...
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This paper aims at studying the robustness of an adaptive optimal control approach initially proposed for optimizing membrane systems and limit energy requirements due to membrane fouling. It is shown that the proposed adaptive optimal controller may be designed for a large set of membrane filtration systems, notably micro and ultra filtration processes and that it is robust against model parameters as well as model structure uncertainties.
model-based control strategy is introduced for improving the closed-loop performance of switched systems under network communication in this paper. In traditional networked control system, a ZeroOrder Hold (ZOH) is of...
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model-based control strategy is introduced for improving the closed-loop performance of switched systems under network communication in this paper. In traditional networked control system, a ZeroOrder Hold (ZOH) is often used at the controller side to realize continuous feedback control. However, to use a ZOH usually decreases control accuracy since the state will be held invariably during each sampling period. In order to improve control accuracy, we introduce a model-based control strategy instead of ZOH-based one and propose two analysis frameworks for switched linear systems in network communication environment with periodic sampling mechanism (PSM) and event-triggered sampling mechanism (ETSM), respectively. A model-based dynamic switching controller is set up with certain robust performance. Asynchronous switching is taken into account since the switching time sequence of the controller is determined by the network transmission time sequence which cannot coincide with the controlled system. Under switching and control gain conditions, stability criteria of the closedloop switched system in network communication environment are derived and verified through two simulation examples. (c) 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
In this paper, model-based and disturbance observer (DO B)-basedcontrol of needle in precautious applications are compared. In the model-based approach, the force acting on the needle is calculated by evaluating the ...
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ISBN:
(纸本)9781467324212
In this paper, model-based and disturbance observer (DO B)-basedcontrol of needle in precautious applications are compared. In the model-based approach, the force acting on the needle is calculated by evaluating the finite element model (FEM) of the tissue with the tissue deformation. In DOB-based method, the force acting on the needle is considered as an external disturbance and it is estimated using position and velocity of the needle. In both approaches, the calculated/estimated force is used in a sliding mode control scheme to steer the needle to the target. A dynamics equation for the movement of the needle is proposed which includes the force applied by the tissue to the needle. The results are evaluated through simulation and a dynamic finite element model is used to simulate the behavior of the soft tissue. It is shown that the performance of the model-based scheme in presence of the uncertainty in tissue mechanical properties is superior to that of DOB;however it introduces additional system complexity due to the usage of the tissue deformation.
作者:
Mu, SMChu, TGWang, LPeking Univ
Intelligent Control Lab Ctr Syst & Control Dept Engn Sci & Mech Beijing 100871 Peoples R China
In this paper, an improved scheme for model-based control of networked discrete time systems is presented by introducing a gain matrix to the reset state stage of the model when the network is switched on. This improv...
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ISBN:
(纸本)0780385667
In this paper, an improved scheme for model-based control of networked discrete time systems is presented by introducing a gain matrix to the reset state stage of the model when the network is switched on. This improvement introduces additional freedom in designing the controller and can increase the length of the period for updating the model state over the networks. Also, the plant can be stabilized by a controller based on a model with lower order than that of the plant. A sufficient condition and a necessary condition for the global exponential stability of the closed-loop system are derived for the case of the plant full state available, and when the plant full state is not available, a sufficient condition is obtained. The results suggest simple procedures for designing state/output feedback controllers for the systems. Numerical examples show the feasibility and efficiency of the proposed methods.
The work described in this paper aims at exploring the use of an artificial intelligence technique, i.e. genetic algorithm (GA), for designing an optimal model-based controller to regulate the temperature of a reactor...
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The work described in this paper aims at exploring the use of an artificial intelligence technique, i.e. genetic algorithm (GA), for designing an optimal model-based controller to regulate the temperature of a reactor. GA is utilized to identify the best control action for the system by creating possible solutions and thereby to propose the correct control action to the reactor system. This value is then used as the set point for the closed loop control system of the heat exchanger. A continuous stirred tank reactor is chosen as a case study, where the controller is then tested with multiple set-point tracking and changes in its parameters. The GA model-based control (GAMBC) is then implemented experimentally to control the reactor temperature of a pilot plant, where an irreversible exothermic chemical reaction is simulated by using the calculated steam flow rate. The dynamic behavior of the pilot plant reactor during the online control studies is highlighted, and comparison with the conventional tuned proportional integral derivative (PID) is presented. It is found that both controllers are able to control the process with comparable performance. (c) 2007 Curtin University of Technology and John Wiley & Sons, Ltd.
This paper deals with a control technique of eliminating the transient vibration of a twin-drive geared mechanical system with backlash. This technique is based on a model-based control integrated into the position co...
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ISBN:
(纸本)0780387481
This paper deals with a control technique of eliminating the transient vibration of a twin-drive geared mechanical system with backlash. This technique is based on a model-based control integrated into the position control loop. The controlmodel as a dynamical compensator is composed of a linear reduced-order model related to the velocity control loop and a delay element related to the backlash. This controlmodel estimates a load speed converted to the motor shaft. The difference between the estimated load speed and the motor speed is dynamically calculated, and it is added to the velocity command to suppress the transient vibration generated at the load. Further, a local current compensating loop is integrated into the current control loop to avoid the interference of the output torque of each motor. In this paper, the performance and the effectiveness of the model-based control integrated into the position control loop is verified by simulations. Simulations show satisfactory control results to reduce the transient vibration at the load.
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