Papers by Keyword: Adaptive Control

Abstract: This paper concerns the design of robust controller for a linear system with time-varying state and input delay. The new adaptive sliding mode control algorithm of the system with multiple delays in system states and control inputs are proposed. The delay dependent conditions of the closed loop system are formulated and the equivalent gain of the adaptive sliding mode controller is obtained in the form of linear matrix inequalities (LMI). Finally, simulation results of a numerical example based on a practical inverted pendulum shows both the feasibility and efficiency of the proposed controller.

Abstract: The purpose of this paper is to present a new predictive control utilizing online data and stored data of input/output of the controlled system. The conventional predictive control methods utilize the mathematical model of the control system to predict an optimal future input to control the system. The model is usually obtained by a standard system identification method from the measured input/output data. The proposed method does not require the mathematical model to predict the optimal future control input to achieve the desired output. This control strategy, called just-in-time, was originally proposed by Inoue and Yamamoto in 2004. In this paper, we proposed a simplified version of the original just-in-time predictive control method.

Abstract: Condition monitoring is becoming popular in industry because of its efficient role in detecting potential failures. The use of condition monitoring techniques will generally improve plant production availability and reduce downtime cost. A reliable adaptive control system can prevent downtime of the machine or avoid unwanted conditions such as chatter vibration, excessive tool wear by allowing the optimum utilization of the tool life. To ensure the quality of machining products, reduce the machining costs and increase the machining efficiency, it is necessary to adjust the machining parameters in real time. A survey of actual researches is presented in this paper in purpose to define new directions of improvement of adaptive control towards smart machining systems.

Abstract: This paper presents a fault-tolerant congestion control algorithm for Internet via dynamic output feedback. The controller is designed based on adaptive technique and robust H∞ approach. Simulation result is given to verify the effectiveness of the proposed algorithm.

Abstract: The high precision control problem of a pursuer spacecraft approaching a space target in proximity missions is investigated in this paper. By choosing proper sliding mode surfaces, a novel adaptive sliding mode controller is presented in presence of model uncertainties and unknown external disturbances. It is proved that the relative position and attitude errors of the closed-loop system asymptotically converge to zero. The validity of the proposed control strategy is demonstrated by numerical simulation results.

Abstract: A novel adaptive stability scheme is presented for a class of chaos system with uncertainties. First, the new fuzzy inference systems are employed to approximate uncertainties. Subsequently, the sliding mode controllers are proposed for stability of the chaos systems. Theoretical analysis and numerical simulations show the effectiveness of the proposed scheme.

Abstract: Piezoelectric smart structure is chosen as the piezoelectric material sensing and driving elements, and control system combine to form a structure with identification, analysis, judgment, action, and other functions. The active vibration control for structures is an important research direction.

Abstract: Existing Internet congestion control algorithms did not consider any faults. This paper presents a state feedback fault-tolerant congestion control algorithm which is based on adaptive and robust H_∞ approaches. Simulation result shows that the proposed algorithm has good performance.

Abstract: VAV (VAV) air-conditioning systems always have the characteristics of nonlinear, strong coupling, large time delay, thus the conventional PID control method can't meet the requirement of control performance. In order to adapt to the changes of the load in air-conditioning systems, and make an accurate rapid response, this paper proposes a fuzzy adaptive PID control method. The temperature control by terminal air valves in VAV air-conditioning systems was selected as a control object, through collecting the deviation between setting value and room temperature, the parameters of the PID controller were selected to realize the accurate control of the temperature. In order to evaluate the effectiveness of the proposed control method, it was compared with conventional PID control method by simulation experiment, the results show that the proposed Fuzzy adaptive PID control method has more shorter setting time, less overshoot and more steady state performance than the latter.

Abstract: Nonlinear characteristic hinder the effective use of piezoelectric smart materials in sensors and actuators. In this paper, the intelligent fuzzy PID controller is designed in the Matlab-Simulink environment. The piezoelectric smart actuator model is built. An adaptive fuzzy PID control scheme was proposed. The proposed control scheme was implemented in Matlab. The results of simulation and experiment indicate that the control method has good control ability.