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Amelioration of ship control with improved dynamic response of motor controller

Hasan Shameem, Sarowar Golam

Przegląd Elektrotechniczny

2021

R. 97, nr 4

32--40

During a sea voyage, it is significantly important to fix the speed and angle of movement of the ship precisely depending on the distance of the destination and also in icebreaking purpose. So, enhancement of transient response of commutator motor used in the ship is essential. Due to their better reliabilities as well as low costing, nowadays, Direct Current (commutator) motors are utilized in icebreaking ships, in industrial near and far applications, robotic manipulators, and also for home appliances. Thus, it is vital to introduce a suitable controller for managing the speed and transient behavior of a Direct Current. In this study, for the enhancement of dynamic response, various DC commutator motor controllers have been simulated. At first, the DC commutator motor parameters are selected and four optimized controllers: Ziegler-Nichols (ZN)-based conventional Proportional Integral Derivative (PID) controller, Genetic Algorithm (GA)-based PID controller (GA-PID), as well as Flower Pollination Algorithm (FPA)-based PID (FPA-PID) are designed and simulated to manage the angular speed together with dynamic response of shaft of a Direct Current commutator motor actuator. The electric actuator response for every controller is ascertained as well as compared after applying step input that is necessary for the simulation of transient response of the motor. The performance analysis shows that the FPA-PID controller is adequate for the steering task in the ship, which requires precision and associated with transient response properties.

W artykule analizowano różne metody sterowania silnikiem komutacyjnym DC. Szczególną uwagę poświęcono sterownikom PID , PID wspomaganym algorytmami genetycznymi oraz Flower Pollination FPA-PID. . Analizowano możliwości sterowania prędkością przy odpowiednich parametrach dynamicznych. (odpowiedź na wymuszenie skokowe). Stwierdzono, że najlepsze właściwości do sterowani silnikiem statku ma algorytm FPA-PID.

Estimation of passenger-kilometer and tonne-kilometer values for highway transportation in Turkey using the flower pollination algorithm

Korkmaz E., Akgungor A. P.

Zeszyty Naukowe. Transport / Politechnika Śląska

2018

z. 98

45--52

Within the scope of this study, intercity passenger and freight movements in Turkey are estimated by using the flower pollination algorithm (FPA), while demand forecasts are performed on transport systems considering possible future scenarios. Since the passenger and freight transport system in Turkey mainly involves road transport, passenger-kilometer and tonne-kilometer values of this system are estimated. By relying on three independent parameters, models were developed in three different forms: linear, force and semi-quadratic. Population (P) between 1990 and 2016, gross domestic product per capita (GDPperC) in US dollars and the number of vehicles were used as input parameters for the development of the models. When the passenger-kilometer models were created, the number of cars, buses and minibuses that are predominantly used for passenger transportation was preferred for the number of vehicles, while the number of trucks and vans used for cargo transportation were taken into consideration in the tonne-kilometer models. The coefficients of the models were determined by FPA optimization, with models developed to estimate passenger-kilometer and tonne-kilometer values. The model results were compared with the observation values and their performance was evaluated. Two different scenarios were created to estimate passenger-kilometer and tonne-kilometer in 2030. Parallel to the increase in population and welfare level, it is predicted that demand for passenger and freight transport will increase. In particular, the higher input parameter values in Scenario 1 significantly affect the increase in demand, leading to a demand increase of around 50%. In addition, the FPA has demonstrated effective performance in predicting the demand for passenger and freight transport and that it can be used in many different areas.