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      저자 : Hamed Khodadadi (검색결과 3 건)
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      • Fuzzy Logic Self-tuning PID Controller Design Based on Smith Predictor for Heating System

        Hamed Khodadadi,Ali Dehghani 제어로봇시스템학회 2016 제어로봇시스템학회 국제학술대회 논문집 Vol.2016 No.10

        The heating, ventilation, and air conditioning is a technology used in smart buildings, providing thermal comfort and acceptable air quality. Heating system is the most important part of this technology and several methods have been proposed for controlling it. The model of heating system includes time delay. Moreover, the model parameters are changed based on the operation mode. In this paper, Smith predictor is proposed as a solution for controlling the time delayed system. In addition, to overcome the uncertain condition of the model, a self-tuning PID controller is employed based on the fuzzy logic. Therefore, in this paper, a self-tuning fuzzy logic PID controller based on Smith predictor is proposed to control the heating system. The findings obtained from various simulation results verified the remarkable precision of the proposed method in controlling the heating system in comparison to the other controllers like PID and PID based on Smith predictor.

      • Fuzzy Logic Self-Tuning PID Control for a Single-Link Flexible Joint Robot Manipulator in the presence of Uncertainty

        Ali Dehghani,Hamed Khodadadi 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10

        Nowadays, flexible joint robots (FJR) manipulators are widely used at industry; however, these robots have several problems. These problems are in the joint and with links. Another problem is their complex dynamics that make control of this robot have some challenges. Non-linearity, interaction between loops and flexibility in the joint cause this problem. The present paper has focused to improve the tracking performance of these robots. Therefore, at the first step, we need to use physical relations of system and determine a model for the FJR. In this paper, the Fuzzy Logic Self- Tuning PID (FLST-PID) controller will be introduced to keep the rotating angle of the link of FJR at desired position. In the classic PID forms, the parameter values of the controller i.e. Kp , Ki , Kd are calculated in many various methods like Ziegler-Nichols and are constant. In FLST-PID, the parameter values computed by intelligent methods like fuzzy logic and they vary during the controlling process. For demonstrating the ability of the proposed controller, some classic controller like PID, LQR and State Feedback will be designed for FJR and the response of the system with these controllers will be compared. Moreover, by considering some uncertainty on systems parameters, the comparison will be performed once again. Simulation results confirm the claims and show that the proposed controller has the best response for the system especially in uncertainty conditions.

      • Designing a Neuro-Fuzzy PID Controller Based on Smith Predictor for Heating System

        Ali Dehghani,Hamed Khodadadi 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10

        The most important part of the heating, ventilation, and air conditioning technology is heating System. This part is used in smart buildings and provides the desired air quality and thermal comfort. The time delay and uncertainty in model parameters due to the several operation mode cause the main challenges in heating system control by the traditional PID approaches. To overcome these problems, this paper presents an intelligent PID algorithm combines the fuzzy logic and neural network method together and used it in Smith predictor structure. Hence, a fuzzy neural network PID controller based on Smith predictor is proposed in this paper for the heating system. By correction of the dynamic learning of neural network and fuzzy inference, PID parameters of the controller get their optimal values. Simulation results of the heating system illustrate that the performance of the fuzzy neural network PID controller based on Smith predictor in comparison to the other control structures has been greatly improved, with fast response, smallest overshoot and lowest rise and settling time.

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