International Journal of Nonlinear Dynamics and Control (6 papers in press)

Regular Issues

• An efficient combination of Demand Side management and Renewable energy resources  
  by Akanksha Srivastava, Prerna Gaur 
  Abstract: The main problem of the electricity sector is the storage of power, So demand needs continuous supply which changes w i t h every movement of time. Demand goes high in some specific periods, and demand for another generating unit on the generation end. This increases the cost of power as well as decreases power quality. Here we use Demand- side management on the demand side of the smart-grid system and lessen the peak hour load so as reduce the burden on the generation side. It improves the power quality as well. This paper is based on the load-shifting method of demand-side management. In this paper, a combination of genetic algorithm-based load-shifting techniques and renewable-energy compensation is used. MATLAB software is used for implementation. The results of this paper suggest that the Demand-side Management (DSM) approach achieves considerable energy savings and target curves. By maximizing the utilization of spinning reserves, this study aims to reduce maximum demand during peak hours.
  Keywords: Demand-side management; Smart-grid; Renewable energy resources; Load-shifting; MATLAB.
  
  
• Maximum power extraction during Partial Shading Conditions with multiple PV panels using Voltage Equalizer Circuit  
  by Yash Gupta, Manisha NA 
  Abstract: The study presents a novel PV array that is integrated with a voltage equalizer circuit. The voltage equalizer circuit is a hybrid of a buck-boost converter and a switched-capacitor (BBSC) circuit. The primary goal of the paper is to increase the output voltage of PV modules while preventing shaded modules from being excluded from a string. Every PV module in the proposed circuit is in buck-boost mode. During uniform irradiance, the BBSC circuit is essentially a no-loss circuit. A thorough simulation analysis is performed using MATLAB R2017a, demonstrating the efficacy of the proposed PV array integrated with BBSC circuit in comparison to the PV array without Voltage Equalizer circuit using P&O MPPT technique. The PV array integrated with BBSC has less tracking time, increased and stable output power.
  Keywords: Maximum Power Point Tracking (MPPT); Maximum Power Point (MPP); Partial Shading Conditions (PSC); Buck Boost Switched-Capacitor (BBSC); Photovoltaic (PV) module; Perturb and Observe (P&O); Photovoltaic Array (PVA); Permanent Magnet Synchronous Generator (PMSG).
  
  
• Blood glucose control using GA tuned fractional order and two degrees of freedom PID controllers  
  by Md Saif Ostagar, Asha Rani, Jyoti Yadav 
  Abstract: This paper deals with the design of Genetic Algorithm(GA) based fractional order control strategy for maintaining the glucose level of Type-I diabetic patients. Fractional order and two degree of freedom PID (2DOF FOPID) controllers are designed using Genetic Algorithm. The fractional order provides two degrees of freedom which allows the simultaneous set point tracking and disturbance rejection. For better understanding the designed controllers, performance of designed controller is further analyzed with a meal input as disturbance signal. The designed controllers are also tested for effectiveness and stability using several validation methods. The integer order PID controller is also designed for comparative study. The suggested controllers are tuned using Genetic Algorithm. The result reveals that 2DOF FOPID controller proves to be more effective and stable than the other designed controllers.
  Keywords: Genetic Algorithm; 2DOF FOPID; glucose control; meal disturbance.
  
  
• Dynamics of an RLC circuit with a ferroelectric capacitor (PZT) using different molar fractions  
  by Henry Otávio Fontana, Vinícius Picirillo, Thiago Gilberto Do Prado 
  Abstract: This paper analyses the dynamic of an RLC electrical circuit with a nonlinear PZT ferroelectric capacitor modelled by Landau-Devonshire theory. Due to the chemical characteristics of the PZT material different molar fractions can be identified and has a straight effect on Landau coefficients. The circuit dynamics are studied for three different molar fractions, namely: Pb(Zr0,2Ti0,8)O3, Pb(Zr0,5Ti0,5)O3, and Pb(Zr0,8Ti0,2)O3. For the numerical investigations, we used mathematical tools such as Lyapunov exponent, phase diagrams, parameter spaces, and basin of attraction, among others. With this, we show that the response of the RLC system presents several interesting and complex nonlinear dynamics phenomena when systems temperature changes.
  Keywords: ferroelectric; Landau-Devonshire; nonlinear dynamic; molar fractions; PZT.
  DOI: 10.1504/IJNDC.2024.10064173
   
  
• Convolution neural network-based mapping for the reliable detection of potholes in unstructured environment for the accidental free autonomous navigation  
  by Tanish Mavi, Rampal Grih Dhwaj Singh, Ankit Kumar, Digvijay Singh, Ravinder Singh 
  Abstract: Reliable autonomous navigation is a crucial problem in unmanned ground vehicle (UGV) and to achieve the reliability in the navigation, the efficient mapping is one of the prerequisites to be achieved. Unreliable mapping resulted in the SLAM problem that degrade the reliability of the autonomous navigation. The obstacle detection segment in the mapping has been improved a lot, however there are a few issues that still degrade the performance of the UGV. Feature detection is a significant segment in autonomous navigation, usually the potholes detection as feature is not considered that causes major accident during navigation. The proposed research work focuses on the detection of the potholes with a camera-based convolution neural network (CCNN) approach to modify the trajectory for the accidental free autonomous navigation of the unmanned vehicle. The proposed CCNN based approach is implemented in various simulated/real-time environments for the efficient mapping. With the implementation of prosed technique, mAP50/precision value of the custom train obstacle detection and segmentation neural network is 0.93 and 0.91 respectively that resulted in accuracy of 84% in detection of potholes and the number of collisions in the trials is reduces to 100%.
  Keywords: autonomous navigation; real-time; deep learning; computer vision; obstacle detection; neural network; pothole detection.
  DOI: 10.1504/IJNDC.2024.10066000
   
  
• A review analysis of health monitoring of electric vehicle  
  by Arunesh Kumar Singh, Mohammad Aasim 
  Abstract: The future of transportation must include electromobility that increase the dependability of electric vehicles (EVs) by anticipating, identifying, and assessing electric power train malfunctions. The EVs are promoting because of green energy and pollution free as copared to ICE vehicles. The energy management system (EMS) is the main subsystem of the EVs. When running a cycle, the starting SOC and the distance travelled determine the optimal power distribution situation for plug-in hybrid electric vehicles. One of the main challenges in EMS development is determining the best power-sharing control, which necessitates complex computations and in-depth knowledge of future driving characteristics. Monitoring of the components/subsystems of EVs is essential for the smooth functioning and sustainability of EVs. In this paper, the various parameters of EVs/hybrid vehicles have been discussed that affects the health of the EVs.
  Keywords: electrical vehicle; EV; plug in hybrid electrical vehicles; PHEV; health monitoring; energy management system; EMS; EV health.
  DOI: 10.1504/IJNDC.2024.10066096