scholarly journals Control of the Automatic Voltage Regulator System with a Novel Stability-based Artificial Intelligence Method

2021 ◽  
Vol 27 (6) ◽  
pp. 11-16
Author(s):  
Rahma Tabakh ◽  
Hasan Tiryaki
Keyword(s):  
Artificial Intelligence ◽  
Voltage Regulator ◽  
Control Methods ◽  
Proportional Integral Derivative ◽  
Suggested Approach ◽  
Proportional Integral Derivative Controller ◽  
Optimum Parameters ◽  
Automatic Voltage Regulator ◽  
Intelligence Studies ◽  
The Stability

This paper proposes a novel Stability-Based Artificial Intelligence Method for predicting the optimum parameters of the proportional-integral-derivative controller in an automatic voltage regulator system. To implement the stability-based artificial intelligence method, first, parameters which are of great importance for the control of the system are applied to the system randomly, data are collected, and then artificial intelligence studies are carried out. The suggested approach has been applied to the system and compared with other control methods in the literature, namely the improved Kidney Inspired algorithm, Jaya algorithm, Tree Seed algorithm, Water Wave Optimization, and Biography-Based Optimization to test the robustness of the new method. The numerical results indicate that the proposed method significantly outperforms all other methods.

Retuning the actuator proportional–integral–derivative controller of spinning missiles

2016 ◽  
Vol 231 (14) ◽  
pp. 2594-2602 ◽  
Author(s):  
Wei Zhou ◽  
Shuxing Yang ◽  
Liangyu Zhao
Keyword(s):  
Angular Motion ◽  
Proportional Integral Derivative ◽  
Proportional Integral Derivative Controller ◽  
Proportional Integral ◽  
Out Of Plane ◽  
Integral Element ◽  
The Stability ◽  
Proportional Derivative Controller

The hinge moment acting on the actuator will cause an out-of-plane moment, which is a destabilizing factor to the angular motion of spinning missiles. A new tuning criterion for the actuator controller is proposed to decrease the out-of-plane moment. It is noted that the integral element does not decrease the out-of-plane moment. A carefully designed proportional–derivative controller with some compromises can ensure the stability of the missile and provide good performance for the actuator.

scholarly journals A LITERATURE REVIEW ON SELF BALANCING IN LINE TWO-WHEELER (BI-CYCLE)

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Kanav Bhatia ◽  
Ankit Singla ◽  
Amit Bhatia
Keyword(s):  
Literature Review ◽  
Flight Control ◽  
Road Safety ◽  
Proportional Integral Derivative ◽  
Proportional Integral Derivative Controller ◽  
Great Problem ◽  
The World ◽  
The Stability ◽  
Two Wheeler ◽  
High Degree

Bicycles are a global product and are present in every culture of the world. They are extensively used for travelling, they are pollution free and easy to manufacture. However, the stability is a great problem of concern while riding a bicycle. A two-wheeler is bound to fall after being tilted more than a certain angle of tilt. This paper aims to provide a literature review of the previously methods of achieving self-balancing condition in a bicycle. Further, up to 4 methods or de-signs have been broadly classified in this paper taking into account the previously published papers on self-balancing. Also, Gyroscopes are highly stabilizing de-vices which are used as stabilizing systems in ships and flight control of aircrafts. The goal of this paper is to finalize the best possible method for building a self-balancing twowheeler prototype capable of balancing itself using a gyroscope and PID (Proportional integral derivative) controller. The gyroscope will provide the necessary balance to the bicycle at the time of tilt. The idea of a selfbalancing bicycle can be further employed in the manufacture of driverless and driver operated automated two-wheelers respectively, with a high degree of road safety and road adhesion. Finally, this paper also covers the future scope and future techniques in the field of self-balancing

Performance evaluation of a novel improved slime mould algorithm for direct current motor and automatic voltage regulator systems

2021 ◽  
pp. 014233122110379
Author(s):  
Davut Izci ◽  
Serdar Ekinci ◽  
H. Lale Zeynelgil ◽  
John Hedley
Keyword(s):  
Direct Current ◽  
Statistical Tests ◽  
Dc Motor ◽  
Voltage Regulator ◽  
Proportional Integral Derivative ◽  
Motor Speed ◽  
Slime Mould ◽  
Proportional Integral ◽  
Opposition Based Learning ◽  
Automatic Voltage Regulator

This study deals with the controlling the speed of a direct current (DC) motor via a fractional order proportional–integral–derivative (FOPID) controller and maintaining the terminal voltage level of an automatic voltage regulator (AVR) via a proportional–integral–derivative plus second order derivative (PIDD2) controller. To adjust the parameters of those controllers, a novel improved slime mould algorithm (ISMA) is proposed. The latter is a novel metaheuristic algorithm developed in this work. The proposed algorithm aims to improve the original SMA in terms of exploration with the aid of a modified opposition-based learning scheme and in terms of exploitation with the aid of the Nelder–Mead simplex search method. A time domain objective function, which includes time response specifications of steady state error and maximum overshoot along with rise and settling times, is used as a performance index to design the FOPID controller-based DC motor system and PIDD2 controller-based AVR system. The performance of the proposed novel approaches for both systems are assessed through time and frequency domain simulations along with statistical tests which show the greater performance of the improved algorithm. Further to this, the efficacy of the proposed approaches for both systems is compared with other available and effective approaches in the literature. The extensive comparative results demonstrate the proposed method to be superior to those state-of-the-art approaches for both DC motor speed and AVR control systems.

Temperature Control of a Cutting Process Using Fractional Order Proportional-Integral-Derivative Controller

2011 ◽  
Vol 133 (5) ◽  
Author(s):  
Mahsan Tavakoli-Kakhki ◽  
Mohammad Haeri
Keyword(s):  
Fractional Order ◽  
Temperature Control ◽  
Reduction Method ◽  
Cutting Process ◽  
Specific Class ◽  
Proportional Integral Derivative ◽  
Proportional Integral Derivative Controller ◽  
Proportional Integral ◽  
The Stability ◽  
Fractional Order Pid

In this paper, the fractionalized differentiating method is implemented to reduce commensurate fractional order models complexity. The prominent properties of this method are its simplicity and guarantee of preserving the stability of a specific class of fractional order models in their reduced counterparts. The presented reduction method is employed in simplifying complicated fractional order controllers to a fractional order PID (FOPID) controller and proposing tuning rules for its parameters adjustment. Finally, the efficiency of the FOPID tuning rule obtained based on the proposed reduction method is shown in the temperature control of a cutting process.

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