Biswarup Neogi

Application of Swarm Intelligence Computation Techniques in PID Controller Tuning: A Review

Swarm Intelligence Computation technique is one of the recent and advanced research topic in the field of Artificial Intelligence. This nature –inspired, global optimization technique is used rapidly in various fields , specially it has become one of the most useful method for efficiency improvement of control and distributed optimization aspects. A review study on tuning of PID controller with effective and satisfactory performance analysis via different swarm intelligence computation techniques is presented in this paper. Tuning of PID via traditional methods and genetic algorithm and their limitations in proper tuning, different structure of PID controllers with the objectives for PID tuning and an efficient intelligent PID controller design is presented in the beginning of this paper. Then a brief literature review on PID tuning with different Swarm Intelligence(SI) techniques i.e. Ant Colony Optimization(ACO), Particle Swarm Optimization(PSO), and Bacterial Foraging Optimization Algorithm(BFOA) as well as their advantages and disadvantages in proper tuning is presented in the afterwards . And finally a performance comparison with simulation results of PID tuning via ZN, GA, PSO, BFOA are experimented on four set of system transfer functions and are studied for effective analysis.

Approach towards the characteristic interpretation of Electromyography (EMG) signal with clinical study

This paper is based on the glimpse of the clinical studies and its applications for starting different characteristic interpretation of Electromyography (EMG) signal. The paper presents the biological and the clinical properties of different human muscles and their movements. Strong and precise information about both active and inactive conditions of the skeletal muscles i.e propius muscle, biceps muscle, triceps muscle, deltoid muscle, etc. are shown in a tabular format. In real world, the elimination of anomaly of noisy EMG signal and its proper implementation is very difficult work. An attempt is taken on accomplishing an efficient and discretized knowledge based database of EMG interpretation and by the help of this database we just took a footstep to generate an actuator for the EMG interpretation to facilitate the modeling of dexterous prosthetic arm.

Simulation techniques with a prosthetic approach towards biologically active artificial internal organs: an overview

The simulation aspect has become the centre of research in the field of prosthesis. There have been various successful applications of prosthetic organs, where natural biological organs have failed to function in patients. Simulation aspects and control modelling are indispensible for knowing system performance and for generating an original approach to artificial organs. An overview of the applications of the control theory to prosthetic internal organs, including the heart, lungs, kidney and pancreas, is presented in this paper. This overview focuses mainly on control techniques: a theoretical

Study of Proper Tuning of Prosthetic Limb Control System with Paraplegia and Fatigue Condition

Prosthetic Control in living system is an ever-growing important phenomenon in todays world. The artificial limb thus is required to be well connected to the concerned nervous system which is in immediate contact with the limb concerned, and finally to the brain system which constitutes the overall control of the total living system including that artificially generated limb. This paper deals with the control model development of limb prosthesis considering two cases -- Paraplegic and Fatigue conditions. The brief theoretical study of simulation is being produced to achieve the system optimization. The aspects of Ziegler -- Nichols approach for appropriate tuning and sampled data (s.d) control tuning are added to this work to produce the system optimization. The system is studied in sampled data control mode having appropriate sampling rate as determined by Shanons sampling theorem. Particle Swarm Optimization (PSO) tuning approach is also attached to develop error less Proportional Integral Derivative (PID) controller.

Advancement and up gradation aspects en route for enhancement of rubber plant industry performance by introducing scholastic support through the proposed CDGN Model

Automation is an imperative expression, applied to every field for enhancement in the speed of human life in contemporary, technical and societal facet. Nowadays, automatic instruments confer immense influence in corporate and industrial existence. In the compiled paper, advancement and up gradation aspects en route for enhancement of rubber plant industry performance is ensured essentially by introducing scholastic support through the proposed CDGN Model, adhering to solar energy. Solar energy, specifically apposite employment of solar radiation for realistic ends, should be reserved in wits, and that all renewable energies excluding geothermal energy and tidal energy attain their energy from the sun is conformed. Solar energy is an unconventional foundation of energy which is renewable and available in considerable quantity to assemble the global need as well as make certain it to be environmentally tenable, in diversified perspective. Grounding of the compiled paper accentuate on automated manufacturing of the rubber products like tires from raw materials, with aid of solar radiation using photovoltaic cells. The basic notion that is conjured up amid the compilation of the formulated paper is to furnish the concerned rubber plant industry considered here as component of the case study, with automation, advancement and up gradation aspects en route for performance enhancement, in addition to the scholastic aid, employing the proposed CDGN Model.

Soft Analysis of Discreet System Function Introducing Recursive Method

advantage of discrete domain analysis is the reduction of characteristic roots from infinite to finite numbers and consequent simplicity in the analysis and design of the controller. In this paper a new algorithm is proposed towards the sample data control and also analysis the time complexity is find out. The algorithm has order of n2 time complexity.

Simulation approach towards eye prosthesis with clinical comparisons of original human vision capture procedure

This paper is based on the glimpse of modeling of a prosthetic eye by incorporating clinical study of a human eye and by attempting a proper interfacing technique between a prosthetic or artificial eye and human brain intelligence via integrated control approaches and with the help of simulation aspects. Specific result analysis has been carried out by generating an appropriate transfer function of linear concept. After the generation of transfer function model, the simulation approach is incorporated via stability analysis for designing of the prosthetic eye. Moreover, an attempt is taken on furnishing the hardware implementation of producing an ideal prosthetic eye which tends to be a pre-innovative work in the varied field of prosthesis and artificial intelligence.

Introducing MIT Rule Toward Improvement of Adaptive Mechanical Prosthetic Arm Control Model

The article represents MRAC strategies for controlling a mechanical prosthetic arm utilizing gradient method MIT rule. Depending on the uncertainty parameters like mass of the mechanical arm, friction constant and spring constant, an adaptive controller is designed and outlined. MIT rule has been applied to this second-order system, and simulation is done in MATLAB-Simulink for various estimation of adaptation gain. With the changes in adaptation gain, the adaptation mechanisms are changed and results are analyzed. Variation in the parameters should be in the specified range for MIT rule. Further Lyapunov stability approach has been applied to the closed-loop dynamics to ensure global stability on variation of plant parameters.

Introducing computational interactions for cerebral palsy employees

Technological Innovation and Invention motivates human life to enhance the power of thoughts, creativity and activities. Computer is one the most important invention, that trends lifestyle in a hassled path. In spite of this prodigious creation, cerebral palsy is still underprivileged at societal activities as well as service employment. A ray of hope and happiness serves them for various official activities and knowledge enrichment through an economic prototype wheelchair design incorporated with computational interactions.

Design of mind-controlled vehicle (MCV) & study of EEG signal for three mental states

Bio-Electronic devices establish interference between the Human Brain with Computers using bio-signals, which are sensed by a special type of sensors known as bio-sensors. Study of bio-signals are an emerging area of research gives special attention to Mind controlled gadgets. This research article presents Mind Controlled Vehicle (MCV) based on Brain Computer Interface (BCI) technology to analyze the brain waves along with controlling a device as well as analysis of the EEG signals BCIs are interfaced through the humanoid brain signals along with gadgets by decoding brain activity in real-time action commands. Mainly this paper presents two fundamental themes of electroencephalography signal analysis (EEG). One step for a study on different brain states and the second one is for capturing concentration power, applied to control the vehicle entitled ‘MCV’.