ABSTRACT

Non-linear characteristic is a problem in temperature control of air conditioning in Automobile. Other controllers like the state flow controller uses different approximation methods to handle non-linearity [1]. While some other typical choices are linear piecewise, and lookup table approximation used to trade off factors of complexity, cost and system performance. The problem with all the controllers mentioned above is that they are either too expensive or tedious to implement, or tend to limit the control performance. Fuzzy logic provides an alternative solution to non-linear control because it is closer to real world [2]. Non-linearity is handled by rules, membership functions and inference process, which results in improved performance, simpler implementation and reduced design cost. Most control applications have multiple inputs and require modeling and tuning of a large number of parameters, which makes implementation very tedious and time consuming. Fuzzy rules can simplify the implementation by combining multiple inputs into single "if— then" statements while still handling non-linearity.