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Active Disturbance Rejection Control for Multi-operating Condition System |
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Makeximu Ma, Zhenlong Wu, Donghai Li(Tsinghua University, China), Lingmei Wang(Shanxi University, China) |
| In this paper, an active disturbance rejection control (ADRC) with tracking differentiator (TD) solution is proposed and tested on a certain four operating condition model. The proposed system with a cascaded control scheme is constructed based on a linear Active disturbance rejection controller (LADRC) with parameters optimized under a modified fruit fly algorithm. The tracking performance could be improved by the tracking differentiator with flexible damping. The simulation results indicate that the proposed strategy could effectively balance rapid and stable responses. |
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Active disturbance rejection controller for loitering unit with parameter uncertainty |
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Zengyan Li(Mechanical Engineering College, China) |
| The wings of loitering unit could be unfolded in flight. In view of the model parameters uncertainty caused by the structural change, based on the vehicle’s longitudinal and lateral motion equations, combined with the characteristics of ADRC, active disturbance rejection attitude controller is designed. Six degrees of freedom nonlinear simulation model is operated with Simulink and aerodynamic parameters are gained by Fluent. The robustness of this controller is verified by the aerodynamic parameter perturbation method. Actual flight experiments show that the active disturbance rejection attit |
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GMV Control Algorithm for civil engineering Structures under Bidirectional Earthquakes using Decentralized model |
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Mohamed Azira, Lakhdar Guenfaf(LSEI/USTHB, Algeria) |
| The Generalized minimum variance (GMV) Control algorithm for structures under strong bidirectional earthquakes using a decentralized model is presented in this paper. The structural model is derived based on a Single-Degree-Of-Freedom (SDOF) structure under two seismic waves in the direction and the direction. The autoregressive moving average exogenous (ARMAX) model is derived by neglecting the coupling terms between the two displacement axes and considering them as an external perturbation. The bidirectional El Centro earthquake is used to demonstrate the efficiency of the prop |
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Adaptive Non-Backstepping Neural Control for a Class of Uncertain Nonlinear Systems with Unknown Time-Delay |
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Jung E Son, Seoyoung Nam, Nakhoon Kim(LG Electronics, Korea) |
| Aan uncertain nonlinear system with unknown state time-delay is reformulated into an affine nonlinear system in the normal form with structured uncertainty.
To avoid potential time-delays of adaptation laws,
the paper uses the DCAL based approach which leads to a normal affine system in terms of desired tracking signals, and facilitates controller design. With the goal of improving on the UUB results (semi-global or global) of adaptive NN backstepping schemes in the literature, this paper employs the RISE controller to eliminate the approximation error and additive bounded disturbances. |
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Cascade Control Design of Linear Model Predictive Control and PI Control for Industrial Boilers |
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David Banjerdpongchai, Pongsorn Keadtipod(Chulalongkorn University, Thailand) |
| Performance of boiler directly relates to control of water level, drum pressure and stream temperature. Proportional–integral (PI) controllers have simple structure but tuning PID parameters to obtain good response for multiple control loops is rather challenging. In contrary, model predictive control (MPC) is well established to be applicable for multi-input multi-output systems. This paper addresses design of cascade MPC and PI control for industrial boiler. Numerical results reveal cascade control gives performance better than that of PI control. |
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Self-tuning Fuzzy Logic PID Controller Design Based on Smith Predictor for Heating System |
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Hamed Khodadadi, Ali Dehghani(Azad University Of khomeinishahr, Iran, Islamic Republic of) |
| In this paper, Smith predictor is employed 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 temperature in the heating system as one of the main parts of HVAC. 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. |
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