Control System Tutorial and Article

Control system is one of discipline science that is supported by any discipline such mathematics, physics, mechanics, chemistry, electronics and computer science.

In the modern control, electronics and computer science has important action, because the modern control system applied many of new algorithm, that can be run at computer system or microcontroller system.

• Microcontroller AT89C51

Microcontroller has a function as microprocessor. The different is simplicity of microcontroller that can stand alone with out any component such ADC and external memory. Microcontroller is a kind of integrated circuit that be packed as common IC. The main different is the ability to run the instruction code that is loaded at it's memory. On the other hand, microcontroller is completed with Arithmetic Logic Unit that can run arithmetic operations. With out a program that was loaded in it's memory, microcontroller can do nothing.

Interrupt on AT89C51

• Fuzzy Logic System

Fuzzy logic copy a mind set of an expert when make a decision. All of input and output are represented  by language that described in fuzzy set. By the expert knowledge base, fuzzy rule are derived. The outputs of fuzzy system are resulted by inference process that based from fuzzy rule and the reality. The controller which use fuzzy logic system is called fuzzy controller.

Simulation Example

• Artificial Neural Network

When the neurons receive any input of excitation, then this excitation will be processed by neural system. When the excitation is greater than the threshold level, this excitation signal will be propagated after be amplified and summing. This process is centered in the brain. From those processes, the brain will take a conclusion. The process that occur in the neural system, then be applied  as an algorithm known as artificial neural network that can be used in control system, pattern recognition system and any other.

• Adaptive Neuro Fuzzy

When a fuzzy system and artificial neural network are combined, then result a new algorithm that call a neuro-fuzzy algorithm. This algorithm has characters that inherit with the two combined algorithm. Fuzzy system can be functioned to overcome an initial condition, and artificial neural network can be functioned to do an adaptation process, then neuro-fuzzy can be called as fuzzy system that can do an adaptation.

• Simulasi Sistem Dinamik Menggunakan M-file Matlab

Sistem kendali fuzzy, dapat diterapkan langsung dalam bentuk perangkat keras, tanpa melalui simulasi. Asalkan dari sejak awal perancangan, sudah diketahui perilaku umum dari sistem dinamik yang dikendalikan. Tetapi untuk mempermudah proses penalaan dan menghindari kesalahan (kerusakan fisik), maka ada baiknya sistem kendali yang sudah dirancang dan disusun programnya, disimulasikan terlebih dahulu menggunakan komputer. Selama simulasi berlangsung, parameter-paramter pengendali harus ditala, hingga diperoleh kinerja pengendalian yang paling bagus (sesuai dengan kriteria perancangan).

• Basic Electrical Eng Course

Find out the basic of electrical engineering course on this page.

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