This paper investigates the effect of quantization gain factors, at the input side, and the scaling gain, at the output side, of a fuzzy controller. A fuzzy control system is designed with two main parts: a basic fuzzy controller (BFC) which produces the output control signal and supervisor fuzzy controllers (SFCs) to continuously adjust, on-line, the I/O scaling or gain factors of the (BFC) in order to improve its performance against different dynamic operating conditions. The designed self tuning controller is used to position control of a DC motor with un known parameters according to the feed back inputs, a tracking error (e) and change of error (e), based on the proposed fuzzy rules. The system implementation and tests are carried out using LabVIEW software (V8.2) with a data acquisition card type (NI PCI-6251) from National Semiconductors to achieve real time measurements.

This paper presents a new design for controlling microwave oven (MWO) device which has become used daily in last few years. The aim of this work is to develop the operation of the recent MWOs, where three new features have been proposed to be supplemented to the new design, the first one is adding a load cell under a turntable specified for MWO to measure the weight of the processed food instead of setting it manually. The second feature is incorporating the fuzzy techniques with the design of MWO by designing a fuzzy controller capable to decide the suitable power level and total heating time automatically according to the measured weight. While in the third feature a steam sensor has been suggested to be added in the upper cavity of the MWO, so the controller will be able to decide the remaining time to finish once the presence of a steam is detected. Finally the output results of the controller have been tested practically on some kinds of food using the available MWO. The results proved the efficiency of using this design by finding the suitable parameters to process food without dependence on the repeated estimation by the user.

Recently Wireless communication technologies have strongly adopted in real-time industrial environments. The increasing availability of products and solutions based on the IEEE 802.11 standard make this kind of communication technology becomes more cost effective in distributed control systems. This paper describes real time control application over Wireless Local Area Network (WLAN) in Ad hoc mode using a Virtual Instrument VI environment (LabVIEW). Particularly the delay time in such networks is considered as a critical factor that has a significant effect on the system response time characteristics such as rise time(T r), settling time(T s). So in this paper we discussed the effect of using different controllers (such as P, PID, Fuzzy, …) on the overall system performance. The experimental measurements show that the using of fuzzy controller gives best results where it can minimizes the effect of the network delay on the system behavior as much as possible.