Intelligent Fuzzy Logic Research Articles

Mission Planning and Flight Control: Meeting the Challenge with Intelligent Techniques

This paper presents a hybrid hardware/software platform that supports flight control and mission planning algorithms for an autonomous helicopter. The emphasis is on the use of intelligent fuzzy logic based techniques and an object-modeling approach to account for unmodeled dynamics to address uncertainty issues and to provide a flexible platform for development purposes and an operator interface. Fuzzy logic routines are implemented in such critical vehicle modules as the route planner the fuzzy navigator the fault-tolerant tools and the flight controller.

Experience of the Application of Intelligent Control Paradigms to Real Manufacturing Processes

The application of conventional and intelligent control paradigms to the dispensing of adhesive in the manufacture of mixed technology printed circuit boards, a real process with real time constraints and error conditions, is outlined in this paper. A description of the process and its various operation and error states is followed by a brief discussion of the application of conventional (system identification and incremental proportional control) and intelligent (knowledge-based, fuzzy logic and neural network) controllers to the system. Comments on the control and timing performance of each paradigm are given.

Idle Speed Control of an Automotive Engine Using a Systematic Fuzzy Logic Methodology

This paper introduces a systematic control design methodology for complex nonlinear systems hased upon the direct intelligent fuzzy logic control paradigm. A fuzzy logic control method is developed that can be used to design fuzzy logic controllers for a class of nonlinear systems. The systematic aspects of the procedure refer to an automated rule generation scheme that capitalizes upon clustering of transitional relations and their transformation from one conditional subspace to another. Elements that result from such transitions are anticipated according to the applied action of each rule. Data for this transitional set of rules can be collected via (i) a priori information such as experimental results, (ii) numerical simulations based on approximate dynamic models, and (iii) heuristics. The main advantage of the automatic rule generation scheme is that reliability of the controller performance can be potentially enhanced even in the presence of large-grained uncertainty. Such specifications of overall system performance as accuracy and precision can be arbitrarily adjusted as functions of the resolution of the design parameters. The systematic fuzzy logic control design procedure is applied to the problem of regulating the idle speed of an automotive engine. Simulation results indicate the effectiveness and efficiency of the proposed approach.

Smart Climbing Mirror Cleaning Robot Using Hybrid Fuzzy-PID Control based on Pneumatic System

This paper presents the combination of an intelligent fuzzy logic control and robotic technologies for developing an exterior climbing mirror cleaning robot based on pneumatic system in the advance fields of high building mirror cleaning robot technology. The typical pneumatic system is controlled by ON/OFF directional valve control that gives usually uncertain response both in the terms of position and velocity control and also low accuracy in the moving and holding force control because of its nonlinearity and uncertainty of pneumatic system. The fuzzy logic with proportional plus derivative plus integral control (fuzzy-PID) presented in this paper will improve the drawbacks and weak points of the ON/OFF valve control such that it becomes a continuous valve control which enhances the overall performance of the system in the same time. The stability of climbing robot that is moving along any slope angles of mirror glass surface depends on the holding force, suction cup parameters and pneumatic piston cylinder control that must be suitably designed and mainly realized. More safety factors for high air-pressure supply in the case of high building include winding force, gravity force and other environmental effects. The experimental results show that the fuzzy-PID control with pneumatic solenoid and directional valves control gives more satisfactory responses in the terms of settling time and steadystate error. The significant improvement of the position response and nonlinear or dynamic performance of pneumatic piston system is carried out both in Matlab simulation program and tests at laboratory room. The results are better than ON/OFF valve control and conventional PID control. Finally, the robot can climb very well on any slope angles of mirror surface that are less than 90 degree while the cleaning mechanism can work well as design concept. The future work will further improve the system performance of climbing robot for more safety, stability and reliability in the case of vertical slope situation that depends on the wet glass surface and more winding force effect.