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Two-degree-of-Freedom Robust PID Controller Design for Unstable System |
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Sudchai Boonto, Chawalit Thabthimrattana, Wutthichai Polwisate(King Mongkut's University of Technology Thonburi, Thailand) |
| The paper discusses a two-degree-of-freedom controller design based on a convex-concave optimization technique. The improvement of the reference tracking performance of an unstable system is considered. Combining both feedback and feedforward fixed-structure controller is preferable for practical work. The optimization constraints are functions in a frequency domain for the feedback control, and the bounded value constraints of the feedforward part are done in time-domain absolute values. The proposed method is tested with an unstable magnetic levitation system. |
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Design of Supervisory Model Predictive Control for Building HVAC System with Time-Varying Coefficient of Performance |
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Chanthawit Anuntasethakul, Kantapong Leungrungwason, David Banjerdpongchai(Chulalongkorn University, Thailand) |
| This paper presents a design of supervisory model predictive control (SMPC) for a building HVAC system. The control objectives are to minimize total operating cost (TOC) and thermal comfort cost. In practice, a COP is a time-varying parameter that depends on environment conditions. We employ ANN with k-means clustering to predict COP. We design SMPC to determine the optimal set-point temperature and utilize the predicted mean vote to handle thermal comfort. When the SMPC is applied to HVAC system, TOC decreases by 14.53% and the maximum electrical power is reduced by 15.66% |
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Controller Design for a Level Control System with Valve Stiction: A Data-driven Approach |
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Tanagorn Jennawasin, Jakkarawut Khamkaew, Krittapas Phannachet(King Mongkut's University of Technology Thonburi, Thailand) |
| We propose a simple controller design method for a level control system subject to valve stiction. The proposed
method is based on fictitious reference iterative tuning (FRIT) technique which can be adopted to tune parameters of simple controllers such as PID controllers by using a one-shot experimental data. In our framework, a simple model of the valve stiction is constructed using a piecewise-linear function, whose inverse model is easily obtained and used as a stiction compensator. The proposed method is applied to a double-tank liquid level system with several types of PID controllers. Numerical simulation is performed to verify effectiveness of the proposed approach. |
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A New Approach to Sliding Mode Control of a Robot System with Its Computed Torque Treatment |
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Oe Ryung Kang, Kim Jung Hoon(POSTECH, Korea) |
| This paper is concerned with a new approach to sliding mode control of a robot manipulator with its computed torque treatment. The theoretical effectiveness of the new control scheme is validated by Input-to-state stability(ISS). Furthermore, the practical effectiveness of the new control approach is also demonstrated through an experiment result for 6-link robotic manipulator. |
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A Software Frameworks for Long-Distance Experiments of Multi-Agent Systems |
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Bumsu Kim(Kwangwoon University, Korea), Dongwoon Kang(Kwangwoon university, Korea), Kunhee Ryu, Juhoon Back(Kwangwoon University, Korea) |
| In this paper, we discuss a software framework for multi-agent formation control experiments on remote mobile robots. A simulation is used to set up an environment for observing how distant mobile robots maintain their formation. Also, it provides experimental results on measurement noise among issues that may arise in the experiment. |
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An Optimal Market Clearing Algorithm for Peer-to-Peer Energy Trading in Smart Grid |
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Nguyen Manh Hung, Hyo-Sung Ahn(GIST, Korea) |
| Energy trading problem in electricity market is one of the emerging concepts in smart grid. Peer-to-peer
(P2P) trading is one of the promising approaches for designing decentralized mechanism. In P2P trading approach, each
player in the network connects and exchanges power or energy directedly with a set of trading neighbours. In this work,
we introduce a new optimal clearing problem for P2P energy market. Next, we present a decentralized algorithm using
Alternating Direction Method of Multipliers (ADMM) to maximize the total welfare of the whole community and also
reach the supply-demand balance. Lastly, a pricing mechanism will be provided to choose the appropriate prices for all
trading p |
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