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In this work is presented a design and implementation of an intelligent controller applied to dynamic systems. The main objective is to design a management intelligent system that acts in the controllers of Direct current machine (DC) and thermo-eletric control systems drives. The purpose is to evaluate the performance of algorithms for intelligent control that integrate DC and thermal actuators to...
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...
Air supply flow directly affects proton exchange membrane fuel cells' (PEMFC) performance, when air supply flow exceeded PEMFC demands, lost of heat energy increased and power consumption of air-compressor increased too, so efficiency of generating current was reduced. Whereas, when air flow was under its demands, FC stack would be damaged with output power of PEMFC increasing in some extant. But...
This paper studied a multifunctional snow removal trucks electro-hydraulic proportional valve control system for the cylinder position control. The fuzzy - intelligent PID controller which could improve the operational efficiency of a multifunctional snow removal trucks, compared with conventional PID control, fuzzy control, and other control strategies by demonstration, simulation analysis and pilot...
This paper presents an intelligent learning control method based on fuzzy neural network and its application. An intelligent learning controller was designed based on the combination of PID controller, fuzzy neural network controller, learning mechanism and intelligent regulator. The main feature of the designed controller is that the intelligent regulator adjusts the PID-coefficients and learning...
According to the positioning accuracy requirements of the two-dimensional precision positioning system with high speed, wide platform, large range and linear motor driving, an intelligent positioning control system based on the linear motor is studied in this paper. The precision positioning experiment is also conducted. The experimental result shows that the positioning accuracy and the dynamic performance...
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...
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