Process Control and Instrumentation Assignment Help

Instrumentation Engineering is the engineering specialization focused on the principle and operation of measuring instruments that are used in design and configuration of automated systems in electrical, pneumatic domains etc.  They typically work for industries with automated processes, such as chemical or manufacturing plants, with the goal of improving system productivity, reliability, safety, optimization, and stability. To control the parameters in a process or in a particular system, devices such as microprocessors, microcontrollers or PLCs are used, but their ultimate aim is to control the parameters of a system.

Instrumentation Engineering Assignments and homeworks can be stressful which can decrease student’s academic performance; hence we have come up with the best Instrumentation Engineering service provider that is AnswersPortals.com.Instrumentation Engineering solutions provided by us are error free and unique. Our prices for Instrumentation Engineering projects and Instrumentation Engineering homework assignments are highly reasonable and we assure you to give 100 % satisfactory Instrumentation Engineering results in the following topics which we provide in the form of Instrumentation Engineering assignment, Instrumentation Engineering homework and Instrumentation Engineering project help:

  • 3-D Assembly Of Magnetic And Semiconducting Nanoparticles
  • Advances in Photovoltaic Technology
  • Asynchronous Chips
  • Basic Touch-Sensor Screen System
  • Classification of variables and design elements of a control system
  • Clipped Tag Rfid Technology
  • Code Division Duplexing
  • Ditgital Steganography
  • Dynamic behavior of Chemical Processes:
    • First order plus dead time process
    • linearization of nonlinear processes
    • Padé approximation
    • Poles and Zeros of a transfer function
    • stability issues, unstable and non-minimum phase behavior
    • the LT of basic functions - step, impulse, pulse, ramp, exponential, integral, derivative, time delay; initial and final value theorems
    • Concept of Laplace Transform (LT)
    • Concept of nonlinearity
    • Development of Empirical model - Model development using linear and nonlinear regression
    • Dynamic response of a first order process
    • Fitting first and second order models using step test results
    • Frequency response analysis - Bode and Nyquist plot
    • Interacting and non-interacting processes
    • Properties of transfer function
    • second order process
    • Solution of differential equation using LT techniques - Partial fraction expansion, direct division
    • Solving algebraic equations and integration of ODEs
    • Transfer function matrix of Multi Input Multi Output (MIMO) process.
    • Transfer function of Single Input Single Output (SISO) process
  • Feedback controller:
    • Compensation for large dead time and inverse response
    • Concept of servo and regulatory problems
    • Design of feedback controller - performance criteria, controller tuning methods, Cohen-Coon method, 1/4th 12 decay ratio method, direct synthesis methods, gain and phase margins, Ziegler-Nichols method, Bode & Nyquist stability criteria, robustness analysis
    • Effects of proportional, integral and derivative actions
    • Elements of Control loop - controller, measuring device, final control element, transmission lines, transducers, transmitters, block diagram
    • Feedback control
    • Notion of stability - characteristic equation, Routh-Hurwitz criteria, root-locus analysis
    • Selection of measured, manipulated and controlled variables
    • Types of controller - P, PI, PID, on-off
    • Geometric Control of Quantum Mechanical Systems
    • HDMI (High Definition Multimedia Interface) Technology
    • Incentives for Chemical Process Control
  • Instrumentation:
    • Final Control Elements - Valve characteristics, thyristors
    • Instrumentation symbols
    • Measuring Devices for flow, temperature, pressure and level
    • Process Flow Diagram (PFD) and Piping & Instrumentation Diagram (P&ID)
  • Microfactory
  • Modeling Considerations
    • Balance equations - mass, energy, momentum
    • Degrees of freedom analysis
    • Examples – liquid serge tank, isothermal chemical reactor
    • General modeling principles
    • Lumped and distributed parameter systems.
    • Rationale for process modeling
    • State variables, State equations; input-output models
    • Steady state and dynamic behavior
    • Thermodynamics and reaction kinetics
  • Military Radars
  • Mobile Radio Networks
  • Multi loop multivariable control:
    • Decoupling and design of non-interacting control loops
    • Failure sensitivity
    • Process and control loop interaction
    • Relative Gain Array (RGA)
    • Sensitivity to model uncertainty
    • Singular Value Decomposition (SVD)
  • Nanotechnological proposal of RBC
  • Optical Coherence Tomography
  • Other control strategies:
    • Auctioneering control
    • Cascade control structure - analysis and design.
    • Concepts of adaptive and inferential control
    • Combination of feed forward-feedback structure
    • Design with dynamic model
    • Design with steady state model
    • Feed forward controller
    • Override control
    • Ratio control, split range control, selective control
  • Personal entertainment network systems (PENS)
  • Plasma Dynamics
  • Radio Frequency Light Sources
  • Remote Accessible Virtual Instrumentation Control Lab
  • Representative process control problems -Liquid Surge Tank, Blending Process.
  • Smart fibers and active polymers
  • Solar Power Satellites
  • Tools for Nano Technology
  • Ultra-Wideband
  • UPS monitoring system

We Serve in