Research Areas

John T. Wen Research (Connected Human and Physical Systems: CHaPS)

John T. Wen Research (Connected Human and Physical Systems: CHaPS)

Connected Human and Physical Systems (CHaPS)

Motion, Heat, and Light: Power of Control

John Wen’s research is in the area of control theory and applications, broadly applied to connected human and physical systems such as assistive robotics, human-robot collaboration, and building comfort system control.  John is particularly interested in hard problems that lie at the intersection of multiple disciplines.  These problems are frequently characterized by complex, nonlinear, and imprecise models and multiple design objectives. John has drawn extensively on the passivity theory – an intuitive and powerful control design tool due to its natural connection to the Lyapunov method and its applicability to broad classes of dynamical systems. For performance and optimality, other system-theoretic tools are applied as needed, e.g., model identification, model reduction, multi-objective optimization, optimal control, image and signal processing.   The numerous control applications that John has addressed broadly fit under motion, heat, and light, and their interactions. Motion research involves precision motion control (high speed scanning and motion planning in electronic manufacturing) and robotics (multi-robot cooperation, assistive robot, robotic satellite servicing, industrial robots in manufacturing).  The focus for heat related research has been on thermo-fluid systems (two-phase heat transfer, vapor compression cycle, critical heat flux, thermal and flow instabilities) and building thermal management (temperature and humidity with human feedback and energy minimization). For light, the focus is in light-based circadian rhythm and sleep control (e.g., for shift workers, international and space travels, military personnel) and light field control using tunable light sources. In the intersection of motion and heat, John has studied thermal-compensation in precision motion systems, and more recently, thermo-mechanical processing of metal alloys (e.g., Ti6Al4V), combining modeling (Monte Carlo, Phase Field), imaging (SEM), and feedforward/feedback control. In the intersection of motion and light, his work has involved adaptive optics (in large field microscopy), beam steering (for laser electronic manufacturing), and blur-based estimation. In the intersection of heat and light, his interest is in the distributed building control, including both thermal and visual environments. The overarching theme that encompass all these applications is smart environment, including living environment, commercial environment, and manufacturing environment.

Our robotic research has three main motivations:

- Manufacturing: material handling, assembly, inspection

- Space: satellite servicing

- Assistive: handicapped or elderly care.

We integrate various sensors, end effectors, and input devices with industrial robots to make them more easily programmable and able to perform sensor based operations.  We utilize outer (kinematic loop) control together with optimization-based velocity resolution to achieve a wide range of functionalities (from visual servoing to compliant force control). 

Theme: Motion

Existing vapor compression cycle (VCC) is mostly designed for steady state conditions.  For high transient heat flux applications such as electronic cooling, the system could be severely over-designed, resulting in unnecessarily large volume and energy inefficiency.  We are conducting research to use a combination of feedback and feedforward control and temperature, mass flow rate, and pressure feedback to achieve high efficiency (characterized by coefficient of performance COP) while avoiding critical heat flux (CHF). 

Theme: Heat

Our research in the smart building area combines modeling, control, and optimization to balance between human comfort and energy efficiency for a multi-zone building.  We exploit the inherent passivity property in multi-zone building to demonstrate stability.  The passivity property is also used in iterative control.

Theme: Heat, Light

Grain growth control involves a greater level of complexity, requiring the coupling of the temperature distributions from the FEM model to MC simulations of grain growth. The simulated grain sizes from each of ten zones associated with the spatial location of the underlying heater elements are used as the output feedback variables for the heater inputs.

Theme: Heat, Motion

My interest in lighting and health involves using light to regulate circadian rhythm, and in turn sleep and alertness.  We use simplified empirical models to characterize circadian rhythm, including nonlinear oscillators and phase reduced models, apply optimal control to analyze the best way to shift circadian phases or maximize alertness.

Theme: Light

Our motion control research is motivated by high speed and high precision requirement in electronic manufacturing.  We have investigated following approaches:

- High speed trajectory tracking: we use a combination of feedback and feedforward (learning-based) control to achieve high performance trajectory tracking. 

- Motion and force control: we use multi-camera feedback to coordinate two probes to manipulate sub-mm parts (using vision-based force control to maintain grasp stability).

Theme: Motion

Adaptive optics allows active manipulation of the wave front based on sensor measurements.  We have developed the Adaptive Scanning Optical Microscope (ASOM) by combining high speed beam steering with deformable mirror for aberration correction to achieve large field high resolution microscopy imaging.   This patented work has been licensed to Thorlabs in 2006.  Thorlabs commercial version won the product of the year award at Cleo 2006. 

Theme: Light, Motion