Comparative Analysis of Classical and Fuzzy Pid Control Algorithms
نویسنده
چکیده
A fuzzy PID controllers are physically related to classical PID controller. The settings of classical controllers is based on deep common physical background. Fuzzy controller can embody better behaviour comparing with classical linear PID controller because of its non linear characteristics. Well tuned fuzzy controller can be also more stable and more robust for the time varying systems. On the other hand, when the fuzzy controller is tuned badly it can exhibit limit cycle which can decrease lifetime of the actuator. This phenomenon is critical especially when the actuator is valve. Knowing about these problems, more analytical methods of tuning fuzzy controllers can be found. The method with unified universe considerably simplifies the setting and realisation of fuzzy controllers. This paper tries to analyse causes of oscillations and it outlines the possibilities how to reduce them. The paper also shows solution how to reduce time needed for computation of control signal by decreasing the number of membership functions and by changing defuzzification method.
منابع مشابه
Fuzzy gain scheduling of PID controller for stiction compensation in pneumatic control valve
Inherent nonlinearities like, deadband, stiction and hysteresis in control valves degenerate plant performance. Valve stiction standouts as a more widely recognized reason for poor execution in control loops. Measurement of valve stiction is essential to maintain scheduling. For industrial scenarios, loss of execution due to nonlinearity in control valves is an imperative issue that should be t...
متن کاملMini/Micro-Grid Adaptive Voltage and Frequency Stability Enhancement Using Q-learning Mechanism
This paper develops an adaptive control method for controlling frequency and voltage of an islanded mini/micro grid (M/µG) using reinforcement learning method. Reinforcement learning (RL) is one of the branches of the machine learning, which is the main solution method of Markov decision process (MDPs). Among the several solution methods of RL, the Q-learning method is used for solving RL in th...
متن کاملIJSRD - International Journal for Scientific Research & Development| Vol. 5, Issue 03, 2017 | ISSN (online): 2321-0613
This paper presents a review study of PID and fuzzy logic controller for level control of the tank. PID controller is widely used in industries for level control and non-linear system but tuning of PID controller is difficult and it use a mathematical model of the system which is also difficult to find for highly nonlinear system. Fuzzy logic controller use linguistic method to control the syst...
متن کاملPerformance Analysis of Fuzzy Logic And PID Controller for PM DC Motor Drive
This paper proposes to control the speed of the permanent magnet (PM) DC motor drive using fuzzy logic control (FLC) based on Matlab simulation environment. The proposed speed controller is developed based on fuzzy logic, to minimize maximum overshoot and steady state error. A comparison study and analysis of proposed fuzzy logic control to classical PID control system applied to PM DC motor is...
متن کاملComparison between PID and fuzzy control Internal Report R93.36I
The goal of this work is to make an analysis of the performances of a fuzzy controller and a comparative study of fuzzy control algorithms with a conventional control approach (PID) in the case of linear dynamic process control. This comparative study is made using computer simulation. The first part is devoted to the formal framework of the theory of fuzzy sets and fuzzy controllers. The secon...
متن کامل