Modern mechatronic and fluid power systems depend upon the seamless integration of software, electronics, electromagnetics, and mechanical hardware. Our team’s expertise in each of these disciplines provides for the efficient design and deep integration to yield low system cost and complexity.
From coil drivers to sensor fusion and digital logic, we can design the electronics that interface with any of the mechatronic systems we design. We have the expertise, software tools and equipment to design and prototype complex mechanical assemblies.
Whether your product needs a few lines of logic, or demands the modern control algorithms and statistical techniques that require floating point math, our team and affiliates can develop and embed the brains behind the machine.
Have your own flash of genius? We offer turn-key engineering design and prototype services to the everyday inventors and garage-shop heroes of Chicagoland. Let us help you turn your idea into an invention.
Michael has nearly 20 years of experience in the design of intelligent actuators, fluid power valves, fluid power systems, electronics, and control systems. Mr. Kriegsmann, has been awarded multiple patents related to motion control, and is the founder of parent company Sunstream Scientific. His previous work experience includes tenures at Parker Hannifin and Caterpillar.
Peter has over 25 years of experience in manufacturing, design engineering, and supplier development. Before joining Sunstream Scientific, Peter worked for Taiyo, a Japanese manufacturer of pneumatic valves, and Hydraforce, the world’s largest manufacturer of hydraulic cartridge valves.
Thomas has over 20 years of experience in the area of motion control solutions and implementation. Applications range from semi conductor robotics to medical instrumentation. Since graduating with a Master’s Degree in Engineering, Thomas has been employed as an Engineer providing OEMs embedded SW solutions for the purpose of industrial and laboratory motion control applications.
Edmon is an assistant professor in the Mechanical Engineering Department at Auburn University. He received a PhD in Mechanical Engineering at the University of Maryland, as well as a BS and MS in Mathematics at the University of Oklahoma. His research concentrates on the utilization of noise to aid in the identification and control of nonlinear systems.