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Smith estimates based on fuzzy PID controller and application

Author: TangBiao
Tutor: LiHanXiong
School: Central South University
Course: Mechanical and Electronic Engineering
Keywords: Smith Predictor Controller Fuzzy PID Control Robustness Parameter tuning DSP
CLC: TP273
Type: Master's thesis
Year: 2010
Downloads: 285
Quote: 1
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Abstract


In actual industrial process control, the controlled object often has large time delay (control action over a period of time will be reflected in the output). Therefore, the standard feedback controller for large time delay system is difficult to obtain good control effect. Although Smith predictive controller is an effective controller for large time delay system, but conventional Smith PID controller exist need accurate mathematical model and interference suppression ability, robustness weak shortcomings. Therefore, how to improve the robustness of the Smith predictor controller and theoretical analysis has important theoretical and practical significance, is of great significance for the promotion of its industrial applications. In the analysis of the basic characteristics of fuzzy PID controller and Smith predictor controller combining fuzzy PID controller and Smith estimated the advantages of the controller, the introduction of fuzzy PID controller will be able to resolve the Smith predictor controller to improve its Lu Stick. Starting from the time delay model based on stability theory of 李亚普洛夫, combined with the characteristics of the sliding mode control, Smith estimates based on fuzzy PID controller is analyzed theoretically stability in the time domain and complex field. Simulation examples, respectively, for the the order inertia delay model, second-order inertial model with delay, the second integral Delay model and the high-end model simulation. The simulation results further demonstrate the the robustness superiority Smith estimates based on fuzzy PID controller. Parameter tuning is also based on the fuzzy PID Smith estimated an important part of the controller applications. The internal model parameters using traditional PID controller tuning Smith predictor controller parameter tuning. Internal model parameter tuning method to Smith Predictor Controller is equivalent to the internal model controller, the master controller in the Smith predictor controller that the three parameters of the fuzzy PID controller. Subsequent simulation results show the effectiveness of the method. Experiments, on the the core experimental platform to TI's F2812DSP as existing operational amplifier to build the actual controlled object, the use of the the CCS software (DSP debugging tool) and MATLAB software co-debugging based on fuzzy PID Smith forecast the controller experiments and parameter tuning experiments, the experimental data and the results once again show that the effectiveness of Smith estimates based on fuzzy PID controller robustness and parameter tuning method.

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system
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