http://localhost:8080/xmlui/handle/123456789/334 2026-06-23T06:19:05Z http://localhost:8080/xmlui/handle/123456789/3468 Title: Azimuth-Altitude Dual Axis Solar Tracker Authors: Gupta, Preeti; Kumar, Badal; Wankhade, Prateek; Choudhary, Praveen; Singh, Abhijeet Abstract: People in underprivileged countries could benefit from the use of a solar distributed generation system. To provide an efficient solar distributed generation system, a scaled down dual-axis solar tracker was designed, built and tested. 2016-10-30T00:00:00Z http://localhost:8080/xmlui/handle/123456789/3461 Title: Load Disturbance Rejection Based PID Controller for Frequency Regulation of a Microgrid Authors: Kumar, Badal; Bhongade, Sandeep Abstract: This paper deals with an autonomous isolated microgrid comprising both controllable & uncontrollable sources. Like solar, wind, diesel generator (DG), aqua electrolyzer (AE), fuel cell (FC), battery energy storage system (BESS), and fly wheel (FW) are considered. Solar, wind, DG and FC are power generating source & BESS, FW, AE as energy storage element. The generated hydrogen by an AE is used as fuel for a Fe. The power system frequency deviates for the sudden change in load demand and the real power generation. The output power of DG, FC, BESS, FW and power absorbed by AE is regulated by using controller such that frequency of the system is controlled. Controller used is proportional plus integral plus derivative (PlD). Load Disturbance Rejection (LDR) is used for tuning of proposed hybrid system's controller gains. This uses the chien-hornes-resnick (CRR) setting with 20% overshoot. The system response of LDR method is compared with classical method and the result of LDR based controller gives better response then the classical method. 2016-07-02T00:00:00Z http://localhost:8080/xmlui/handle/123456789/2122 Title: Spatial Power Control of Singularly Perturbed Large Nuclear Reactor ? Authors: Munje, Ravindra; Patre, B.M Abstract: Controlling of large nuclear reactors is a challenging task due to simultaneous presence of both slow and fast varying dynamic modes. This paper presents the design of linear quadratic regulator for spatial power control of a large Advanced Heavy Water Reactor (AHWR). The AHWR system is represented by 90 rst order nonlinear di erential equations with 5 inputs and 18 outputs. After linearization, the original ill-conditioned system of AHWR is represented into standard singularly perturbed two-time-scale form and decomposed into two comparatively lower order subsystems, namely, `slow' and `fast' subsystems of orders 73 and 17 respectively. Two individual optimal controllers are developed for both the subsystems and then a composite controller is obtained for original system. This composite controller is applied to the vectorized nonlinear model of AHWR. From dynamic simulation in representative transients, the suggested controller is found to be superior to other methods. 2016-09-11T00:00:00Z http://localhost:8080/xmlui/handle/123456789/2112 Title: Investigation of Spatial Control Strategies for AHWR: A Comparative Study Authors: Munje, R.K; Patre, B.M; . Londhe, P.S; Tiwari, A.P; Shimjith, S.R Abstract: Large nuclear reactors such as the Advanced Heavy Water Reactor (AHWR), are susceptible to xenon-induced spatial oscillations in which, though the core average power remains constant, the power distribution may be nonuniform as well as it might experience unstable oscillations. Such oscillations influence the operation and control philosophy and could also drive safety issues. Therefore, large nuclear reactors are equipped with spatial controllers which maintain the core power distribution close to desired distribution during all the facets of operation and following disturbances. In this paper, the case of AHWR has been considered, for which a number of different types of spatial controllers have been designed during the last decade. Some of these designs are based on output feedback while the others are based on state feedback. Also, both the conventional and modern control concepts, such as linear quadratic regulator theory, sliding mode control, multirate output feedback control and fuzzy control have been investigated. The designs of these different controllers for the AHWR have been carried out using a 90th order model, which is highly stiff. Hence, direct application of design methods suffers with numerical ill-conditioning. Singular perturbation and timescale methods have been applied whereby the design problem for the original higher order system is decoupled into two or three subproblems, each of which is solved separately. Nonlinear simulations have been carried out to obtain the transient responses of the system with different types of controllers and their performances have been compared. 2016-04-01T00:00:00Z