P.Madhavasarma
@sastra.edu
Deputy conroller of examinations SEEE
Sastra deemed to be university
Dr. P. Madhavasarma is a faculty at the Department of Electronics & Instrumentaion Engineering, SASTRA Deemed University, Thanjavur. Prior to joining the institute, he was with Saraswathy College of Engineering &Technology, Tindivanam. His research interests span the fields of model prediction and fracture healing analysis, process modeling and simulation, control relevant process identification, biomedical engineering and soft computing techniques. His main focus is to impart value based quality education in the field of engineering and do research which is useful to the society. His current research interst in the field of interdicilpinary work along with medical practitioners for fracture healing analysis using soft computing and image processing based 3D pinting for scaffold for fracture treatment. He has worked with electrical related companies as a consultant to improve their product quality. He has been reviewer for the international journals such as 1)Transaction of the I
EDUCATION
• Ph.D. Control &Instrumentation SASTRA University, Thanjavur (2009)
• M.Tech. Control & Instrumentation, National Institute of Technology (NIT), Trichy (2005)
• M.B.A Marketing Management, Madurai Kamaraj University Madurai (2001)
• B.E Electrical and Electronics Engineering, Bharathidasan University (1996)
RESEARCH, TEACHING, or OTHER INTERESTS
Biomedical Engineering, Agricultural and Biological Sciences, Multidisciplinary, Biophysics
Scopus Publications
Scopus Publications
P Madhavasarma, P. Veeraragavan, S. Kumaravel, and M. Sridevi
Elsevier BV
P. Madhavasarma, M. Sridevi, S. Kumaravel, and P. Veeraragavan
Informa UK Limited
ABSTRACT In this work, diagnosing of reunion of human tibia fracture across limbs using a simple mathematical model is demonstrated. At present in practice, the fracture reunion is predicted using repeated radiographs. Frequent exposure to such radiation causes harmful health effects in patients. Hence, as an alternative, modelling technique using electrical data recorded across patients stimulated with DC electric voltage of range 0.1–1V is proposed. Various model structures, namely P1D and P1DZ models were tried. An error analysis was performed and it was observed that the measured data fitted P1DZ model with an error less than 5%. Model parameters namely process gain and time constant were observed. When the model parameter process gain becomes constant, the time constant reduces significantly indicating the healing of fracture. Reunion was also confirmed with simultaneously taken radiographs. The fact that human bone is a biological semi-conductor therefore exhibits electrical properties and bone does behave like a capacitor is proved by empirical methods in our study is the novelty of the work.
S. Arulkumar, P. Madhavasarma, and P. Veeraragavan
IEEE
This paper presents a design and simulation of UPQC system for limitations of non linear load factors. The fuzzy logic controller is designed for tuning the PI controller parameters for achieving the optimal voltage is the solar power connected in the UPQC system. Solar power used to improve the power for load side power system designed in network. The MATLAB simulation software is used for simulation of results. From the simulation results, the Total Harmonics Distortion value is reduced from 2.77% to 1.29% in the voltage side similarly 4.88% to 2.01% in the current side. Also the waveform of the supply system is improved.
S Arulkumar and P Madhavasarma
American Scientific Publishers
M. Sridevi, P. Prakasam, S. Kumaravel, and P. Madhava Sarma
Hindawi Limited
The prediction of healing period of a tibia fracture in humans across limb using first-order mathematical model is demonstrated. At present, fracture healing is diagnosed using X-rays. Recent studies have demonstrated electric stimulation as a diagnostic tool in fracture healing. A DC electric voltage of 0.7 V was applied across the fracture and stabilized with Teflon coated carbon rings and the data was recorded at different time intervals until the fracture heals. The experimental data fitted a first-order plus dead time zero model (FOPDTZ) that coincided with the mathematical model of electrical simulated tibia fracture limb. Fracture healing diagnosis was proposed using model parameter process gain. Current stabilization in terms of process gain parameter becoming constant indicates that the healing of fracture is a new finding in the work. An error analysis was performed and it was observed that the measured data correlated to the FOPDTZ model with an error of less than 2 percent. Prediction of fracture healing period was done by one of the identified model parameters, namely, process gain. Moreover, mathematically, it is justified that once the fracture is completely united there is no capacitance present across the fracture site, which is a novelty of the work.
M. Sridevi, P. Prakasam, and P. MadhavaSarma
Hikari, Ltd.
In biochemical industry process variables such as pH, temperature, dissolved oxygen and speed are the main parameters that need to be controlled for optimal cellular activity. These control implementations are achieved via regulation of flow rate of acid/base, flow rate of fluid through the cooling coil, and agitation respectively. This paper presents a fuzzy logic controller to optimize the speed of an agitator in a bioreactor system. An open loop test was conducted and model parameters were determined. The identified process was represented by first order plus dead time model (FOPDT). From the model parameters, PI and fuzzy tuned PI controllers were Designed using MATLAB. The closed loop performance was
M. Sridevi and P. Madhavasarma
Walter de Gruyter GmbH
Abstract A smart structure plays a vital role in aerospace applications and robotics and other applications. It presents many challenging control problems due to their non-linear dynamic behavior. The Objective of this work is to design a controller that minimizes the structural vibration using H∞ controller. Vibration as a measured parameter has been used to evaluate model of a nonlinear process (piezoelectric actuator and sensor) at different modes .The model was generated using an ARMAX technique. By selecting appropriate weighting functions H ∞ controller were designed based on mixed sensitivity approach using singular loop shaping method. The performance of H ∞ controller was compared with LQG controller based on vibration reduction. From the results it is observed that the H∞ controller is the best suited for smart structural process.
P. Madhavasarma and S. Sundaram
Informa UK Limited
Abstract A 40 liter spherical tank with varying time delay was subjected to open loop analysis using a step response technique with sodium chloride solution as tracer. The experimental data was adequately represented by a first order plus dead time (FOPDT) model with an error of less than five percent. These model parameters were used to generate Smith Predictor controller, IMC controller, and IMC PID controller using MATLAB. For closed loop control of the process based on rise time, settling time, overshoot, peaktime, decay ratio, and ISE, it was found that the IMCPID controller is better suited for this process.
P. Madhavasarma and S. Sundaram
Informa UK Limited
Abstract A non linear liquid level process represented by a 5 liter hemispherical tank was subjected to dynamic analysis using a step response technique. The data fitted a first order plus dead time model with an error of less than 3 percent. The level was measured using an on‐line Honeywell capacitance sensor. From the model parameters, PI and fuzzy tuned PI controllers were designed using MATLAB. The closed loop performance was studied for both the servo and regulator problems. Based on the overshoot, rise time, settling time, and ISE, it is found that the Fuzzy tuned PI controller is better suited for this process.
GRANT DETAILS
SR/FST/ETI-153/2005 Strengthening facilities for laboratory Rs 25, 00000
SET/Scet/project-1/2018 Embedded system based patient monitoring system Rs 5, 00000
SSIPLADMIN/02 2019 A leak Measurement in an air brake system using soft computing methods Rs 5, 00000
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
202041045778 System and method for fracture healing prediction 20/10/20
02041045898 A system and a method for controlling water supply conductivity in an industrial power plant 21/10/20
Industry, Institute, or Organisation Collaboration
1. MOU has signed between SASTRA University Thanjavur and Sarswathy College of engineering Tindivanam. For the period of three year from 2019 September to 2022 September under AICTE MARGDARSHAN SCHEME.
2. MOU has signed between Suja Shoei Industries Private limited Patheri Tindivanam and Sarswathy College of engineering Tindivanam for the period of one year March 2022 to March 2023.