ADVANCING
DESIGN AND INNOVATION
THROUGH
SIMULATION AND ANALYSIS
Why use SIMULATION and ANALYSIS?
understand the DYNAMIC BEHAVIOR of the SYSTEM
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Identify system level risks early in design
Increase traceability of the design requirements
Minimize physical prototyping and field testing
Improve collaboration across disciplines and perform system integration
INDUSTRIES
HEAVY EQUIPMENT
Develop models (digital twins) describing dynamic behavior of the machine comprising multiple interacting domains: electrical, hydraulic, mechanical, etc.
Develop and test supervisory machine control algorithms
Predict machine performance in terms of its ability to achieve target operating cycle requirements
Test embedded controls software using machine models in a hardware-in-the-loop (HIL) test platform
Leverage machine models and in-field data to synthesize artificial intelligence (AI) algorithms for predictive maintenance and machine performance optimization
INDUSTRIAL AUTOMATION
Develop models (digital twins) describing dynamic behavior of the machine comprising multiple interacting domains: electrical, hydraulic, mechanical, etc.
Develop and test supervisory control logic algorithms
Perform Monte Carlo scenario simulation studies for anomaly detection, fault isolation, and to increase operational efficiency
Leverage machine models and in-field data to synthesize artificial intelligence (AI) algorithms for predictive maintenance and operations optimization
ENTERTAINMENT
Develop dynamic models for both tracked and trackless ride systems
Perform motion analysis, predict dynamic forces on the ride system components and guest accelerations
Perform Monte Carlo scenario simulation studies for capacity planning and cycle-time optimization
Develop and test supervisory control logic for ride systems
Develop animatronics system models with kinematics, dynamics and collision detection capabilities
ROBOTICS
Develop dynamic robotic system models with kinematics, dynamics and collision detection capabilities
Develop and test supervisory control logic algorithms
Develop and test advanced motion control algorithms
Test and validate robot’s design and its interactions with the environment
MEDICAL DEVICES
Develop models (digital twins) describing dynamic behavior of the device comprising multiple interacting domains: electrical, hydraulic, mechanical, etc.
Develop and test supervisory device control algorithms
Test embedded controls software using device models in a hardware-in-the-loop (HIL) test platform
SERVICES
Digital Twin Modeling
Develop models describing dynamic behavior of physical systems involving multiple domains utilizing both first principles and data-driven approaches
Model fault dynamics to study the impact of failures at both component and subsystem levels on the behavior of the overall system
Create reduced order models that can be deployed in real-time control applications
Control Systems Modeling
Develop closed-loop system models comprising plant dynamics and controller subsystems to design and analyze the controller behavior
Create supervisory control logic using state machines
Develop and test advanced motor control strategies for motion control applications
Generate embeddable controls software using Simulink® Coder™ toolchain
Training Simulators
Develop dynamic physical system models, including fault behaviors, and simulate them in pseudo-real time for deployment within simulator platforms
Integrate dynamic models within 3D visualization envrionments such as Unity® and Unreal Engine®
Real-Time Simulation & Testing
Develop and deploy control subsystem models using Processor-in-the-loop (PIL) framework for rapid control prototyping
Develop and deploy virtual plant models using Hardware-in-the-Loop (HIL) framework for automated testing of embedded controls software
Expertise in working with Simulink® Real-Time™ and Speedgoat
Expertise in working with Beckhoff® MATLAB® Suite (TE1400, TE1401 & TE1410) for deploying Simulink® models on Beckhoff® PLCs
Application Development
Develop graphical user interface (GUI) applications using MATLAB® App Designer
Develop Apps that can run within MATLAB®environment or as a compiled standalone executable
Data Analysis
Leverage built-in MATLAB® functions and create custom tools for statistical analysis, machine learning, and signal processing
Simulate plant models in both nominal and fault modes to synthesize data for machine learning applications
Use parallel computing techniques for solving computationally and data intensive problems
ABOUT US
Krishna Tamminana
Krishna is the President and Founder of Simutopia®. He holds a B.Tech degree in Mechanical Engineering from IIT Madras (2003), an M.S.M.E degree from The Ohio State University (2005) and has 18+ years of experience in engineering, simulation, and analysis.
At MathWorks, Krishna worked with clients in their adoption of a model-based design approach, primarily, in modeling multi-domain physical systems for controls design. Industries served include Automotive, Aerospace, Industrial Machinery, and Medical Devices.
At Manitowoc Cranes R&D, Krishna played a key role in the development of a hardware-in-the-loop simulation platform for automated testing of controls software.
At Walt Disney Imagineering, Krishna was responsible for developing a digital animation tools pipeline for the creation of Animatronic figures. He worked on system integration of several figures in attractions including Frozen Ever After and Star Wars: Galaxy's Edge. He also led the development of dynamic simulation models of track-based and trackless ride systems, including automated guided vehicles, for motion analysis and control systems design.
Krishna enjoys playing badminton, biking with his kids, and watching movies.
At MathWorks, Krishna worked with clients in their adoption of a model-based design approach, primarily, in modeling multi-domain physical systems for controls design. Industries served include Automotive, Aerospace, Industrial Machinery, and Medical Devices.
At Manitowoc Cranes R&D, Krishna played a key role in the development of a hardware-in-the-loop simulation platform for automated testing of controls software.
At Walt Disney Imagineering, Krishna was responsible for developing a digital animation tools pipeline for the creation of Animatronic figures. He worked on system integration of several figures in attractions including Frozen Ever After and Star Wars: Galaxy's Edge. He also led the development of dynamic simulation models of track-based and trackless ride systems, including automated guided vehicles, for motion analysis and control systems design.
Krishna enjoys playing badminton, biking with his kids, and watching movies.
Gabriel King
Gabriel is the Lead Engineer for Simutopia®. He holds a B.S. in Mechanical Engineering from the University of Central Florida (2015) and has 9+ years of experience in engineering.
Prior to his engineering career, Gabriel spent 6 years working as a technician at an automotive shop, working on everything from custom built high horsepower drag race engines to replacing brake pads on a 15 year old commuter car.
At Walt Disney Parks & Resorts, Gabriel created systems level ride timing and capacity simulations for early concept and in-production theme park attractions. He used MATLAB to design dynamic simulations of ride vehicles to support ride design. He was also part of the ride controls development and testing of a trackless ride system including instrumented testing to characterize vehicle performance, failure responses, and navigation algorithms.
Gabriel worked as a Project Engineer for Dreamscape Immersive on location based Virtual Reality experiences. He was responsible for designing and manufacturing the physical elements to make a virtual world come to life.
As a Systems Engineer for Walt Disney Imagineering, Gabriel designed and executed extensive ride vehicle tests to support the turnover and opening of Star Wars: Rise of the Resistance. He also worked on the Systems design of a new attraction to ensure guest safety was achieved, the Creative intent was met, and that the Mechanical, Electrical, and Controls designs would integrate into a functional attraction.
When he's not working on building a new dynamic simulation, Gabriel enjoys Mountain Biking, Philosophy, wood working, and sports cars.
Prior to his engineering career, Gabriel spent 6 years working as a technician at an automotive shop, working on everything from custom built high horsepower drag race engines to replacing brake pads on a 15 year old commuter car.
At Walt Disney Parks & Resorts, Gabriel created systems level ride timing and capacity simulations for early concept and in-production theme park attractions. He used MATLAB to design dynamic simulations of ride vehicles to support ride design. He was also part of the ride controls development and testing of a trackless ride system including instrumented testing to characterize vehicle performance, failure responses, and navigation algorithms.
Gabriel worked as a Project Engineer for Dreamscape Immersive on location based Virtual Reality experiences. He was responsible for designing and manufacturing the physical elements to make a virtual world come to life.
As a Systems Engineer for Walt Disney Imagineering, Gabriel designed and executed extensive ride vehicle tests to support the turnover and opening of Star Wars: Rise of the Resistance. He also worked on the Systems design of a new attraction to ensure guest safety was achieved, the Creative intent was met, and that the Mechanical, Electrical, and Controls designs would integrate into a functional attraction.
When he's not working on building a new dynamic simulation, Gabriel enjoys Mountain Biking, Philosophy, wood working, and sports cars.
Ramesh Muddada
Ramesh is the Systems Engineer for Simutopia® based in the India office in Visakhapatnam. He holds a B.Tech degree in Mechanical Engineering from GMR Institute of Technology (2021).
As part of his B.Tech design project, Ramesh performed detailed design and analysis of an air-foil using Ansys. He enjoys developing dynamic system models and working with MATLAB and Simulink.
When he's not in the Sim Utopia, Ramesh enjoys playing cricket and watching movies.
As part of his B.Tech design project, Ramesh performed detailed design and analysis of an air-foil using Ansys. He enjoys developing dynamic system models and working with MATLAB and Simulink.
When he's not in the Sim Utopia, Ramesh enjoys playing cricket and watching movies.