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1、 Engineering Applications of Articial Intelligence 18 (2005) 881890 Single-chip fuzzy logic controller design and an application on a permanent magnet dc motor Sinan PravadaliogluI.M.Y.O., Control Sys. Department, Dokuz Eylu l University, Menderes cad, Istasyon sok 5, Buca, 35170 Izmir, Turkey Recei
2、ved 27 March 2004; accepted 11 March 2005 Available online 23 May2005AbstractThis paper describes a low-cost single-chip PI-type fuzzy logic controller design and an application on a permanent magnet dc motor drive. The presented controller application calculates the duty cycle of the PWM chopper dr
3、ive and can be used to dcdcconverters as well. The self-tuning capability makes the controller robust and all the tasks are carried out by a single chip reducing the cost of the system and so program code optimization is achieved. A simple, but effective algorithm is developed to calculate numerical
4、 values instead of linguistic rules. In this way, external memory usage is eliminated. The contribution of this paper is to present the feasibilityof a high-performance non-linear fuzzy logic controller which can be implemented byusing a general purpose microcontroller without modied fuzzy methods.
5、The developed fuzzy logic controller was simulated in MATLAB/SIMULINK. The theoretical and experimental results indicate that the implemented fuzzy logic controller has a high performance for real-time control over a wide range of operating conditions. 2005 Elsevier Ltd. All rights reserved.Keywords
6、: Dc motor drive; Fuzzy logic controller; Microcontroller; Application; Simulation1. Introduction In switch-mode power supplies, the transformation of dc voltage from one level to another level is dcdc conversion and accomplished by using dcdc converter circuits, which offers higher efficiency than
7、linear regulators. They have great importance in many practical electronic systems, including home appliances, computers and communication equipment. They are also widely used in industry, especially in switch-mode dc power supplies and in dc motor drive applications. The dc- dc converter accepts an
8、 unregulated dc input voltage and produces a controlled dc output at desired voltage level. They can step-up, step-down and invert the input dc voltage and transfer energy from input to output in discrete packets. The one disadvantage of dcdc converters is noise. At every period to charge in discret
9、e packets, it creates noise or ripple. The noise can be minimized using specific control techniques and with convenient component selection. There are well-knowncontrol techniques including pulse-width modulation (PWM) where the switch frequencyis constant and the duty cycle varies with the load. PW
10、M technique affords high efficiency over a wide load range. In addition, because the switching frequency is fixed, the noise spectrum is relatively narrow, allowing simple low-pass filter techniques to reduce the peak-to- peak voltage ripple. For this same reason, PWM is popular with telecom power s
11、upply applications where noise interference is of concern . The most important requirement of a control system for the dcdc converter is to maintain the output voltage constant irrespective of variations in the dc input voltage and the load current. However, load changes affect the output transientl
12、y and cause significant deviations from the steady-state level of dc output voltage, which must be controlled to equal adesired level by the control systems. The inherent switching of a dcdc converter results in the circuit components being connected periodically changing configurations, each config
13、uration being described by a set of separate equations. Transient analysis and control system design for a converter is therefore difficult since a number of equations must be solved in sequence. Although the state-space averaging is the most commonly used model to obtain linear transfer functions t
14、o solve this problem, it neglects significant parts of non-linear behavior of dcdc converters. Development of non-linear controllers for dcdc converters have gained considerable attention in recent years. A fuzzy logic model based controller is chosen as the non-linear controller for this study. Fuz
15、zy logic control (FLC) has been an important research topic. Despite the lack of concrete theoretical basis many successful applications on FLC were reported and various applications for dcdc converters and electrical drives have been published and can be found in the literature (So et al., 1996, 19
16、95;Mattavelli et al., 1997; Brandsetter and Sedlak, 1996; Hyo et al., 2001; Gupta et al., 1997;Zakharov, 1996; Vas, 1998, 1999). FLC has a wide-spread application on the non-linear and complex systems as well as linear systems due to its capability to control the systems that might not have a transfer function between input and output variables. Experi-ences show that fuzzy control can yield superior r
