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This paper applies both fuzzy control policy and traditional Proportion Integration Differentiation (PID) control policy in the emergency treatment of intelligent wheelchair system. These two control policies adjust PID control parameters online automatically, improve the sensitivity and accuracy of system. Fuzzy control is independent on the mathematical model of the controlled object and it is applicable...
In order to improve non-linear and time variation of electro-hydraulic proportional valve system, the structure work principle are briefly presented, fuzzy-PID control strategy is put forward by the application of fuzzy theory and fuzzy-PID controller is designed, the open-loop simulation is done, the results show fuzzy-PID control strategy which meet preferably the controlled demands, is good real-time...
A kind of adaptive PID control algorithm is analyzed, and the drawbacks of the existing algorithms are commented. As an improvement, a neural network intelligent control algorithm based on one-step prediction is developed. Result show that the new control method is more adaptable to the control of time-varying and nonlinear control systems.
This paper presents a self-adjusting fuzzy proportion integral differential (PID) controller for high non-linear, time-varying automatic gauge control (AGC) System of rolling mills. For the adjusting of the PID parameters is difficulty. The three parameters of PID controller can be adjusted adaptively on line based on the fuzzy rules. The simulation shows that the fuzzy self-adjusted PID controller...
At present, controller design of industrial processes with long time-delay is still a difficult problem. Furthermore, the time-varying and nonlinear features, which enhance the difficulties, are often encountered in the processes. According to analyzing the characteristic of a human-simulated intelligent controller (HSIC), the schema of the HSIC is proposed to deal with the processes of long time-delay,...
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