Michael Cook, Ph.D.
Adjunct Assistant Professor
- Milwaukee WI UNITED STATES
- Mechanical Engineering
Dr. Michael Cook’s focuses on control system design and optimization of mixed-physics dynamic systems.
Education, Licensure and Certification
Ph.D.
Mechanical Engineering
Michigan Technological University
2017
M.S.
Mechanical Engineering
Michigan Technological University
2013
B.S.
Electrical Engineering & Naval Science
University of Wisconsin-Madison
2006
Biography
Areas of Expertise
Accomplishments
Three Navy Marine Corps Achievement Medals
United States Marine Corps (USMC)
Two Navy Unit Commendation Medals
USMC
Meritorious Unit Commendation Medal
USMC
National Defense Service Medal
USMC
Iraq Campaign Medal
USMC
Global War On Terrorism Service Medal
USMC
Three Sea Service Deployment Ribbons
USMC
Affiliations
- Institute of Electrical and Electronics Engineers (IEEE) : Member
- American Society of Mechanical Engineers (ASME) : Member
- American Society for Engineering Education (ASEE) : Member
- Society of Automotive Engineers (SAE) : Member
Social
Media Appearances
Motion Control Lab upgrades offer enhanced learning
MSOE News
2018-11-14
From the construction equipment that builds cities to the shock absorbers that keep automobiles on the road, fluid power technology is everywhere. MSOE mechanical engineering students stay on top of cutting edge fluid power developments through experiential learning in spaces like the university’s recently upgraded Motion Control Lab.
Research Grants
Lightboard Educational Resource to Enhance 'How We Teach'
MSOE Faculty Development Committtee
2019
Lightboard Studio to enhance flipped lessons
D128 Foundation for Learning Innovation Grant
2016 - 2017
Swivl + iPod Touch to enhance flipped lessons
D128 Foundation for Learning Innovation Grant
2013 - 2014
Selected Publications
Optimal and Decentralized Control Strategies for Inverter-Based AC Microgrids
EnergiesCook, M.D., Trinklein, E.H., Parker, G.G., Robinett, R.D., Weaver, W.W.
2019
This paper presents two control strategies: (i) An optimal exergy destruction (OXD) controller and (ii) a decentralized power apportionment (DPA) controller. The OXD controller is an analytical, closed-loop optimal feedforward controller developed utilizing exergy analysis to minimize exergy destruction in an AC inverter microgrid. The OXD controller requires a star or fully connected topology, whereas the DPA operates with no communication among the inverters. The DPA presents a viable alternative to conventional P−ω/Q−V droop control, and does not suffer from fluctuations in bus frequency or steady-state voltage while taking advantage of distributed storage assets necessary for the high penetration of renewable sources. The performances of OXD-, DPA-, and P−ω/Q−V droop-controlled microgrids are compared by simulation.
Reduced Order Model Verification of a DC Microgrid for Controller Design and Determination of Storage Requirements
International Journal of Electrical Power & Energy SystemsCook, M. D., Trinklein E. H., Parker, G. G., Robinett, R. D., and Weaver, W. W
2020
Energy storage requirements and its management are important considerations for dc microgrid designs that have a high penetration of stochastic distributed sources and loads. Modern control methods, such as Hamiltonian Surface Shaping and Power Flow Control (HSSPFC), often rely on a reduced order model of the microgrid for controller design. This paper explores (1) the reduced order boost converter model for use in development of advanced control schemes via a detailed, switching mode model implemented on a Typhoon HIL 602 with a controller-in-the-loop (CIL) and (2) a design methodology that may be used for determining converter distributed storage requirements for the closed loop controls.
Exergy Optimal Multi-Physics Aircraft Microgrid Control Architecture
International Journal of Electrical Power & Energy SystemsTrinklein, E. H., Cook, M. D., Parker, G. G., and Weaver, W. W.
2020
The more electric aircraft (MEA) concept aims to reduce emissions, fuel costs, and enable incorporation of electric weapon systems and advanced sensor platforms. These systems will further burden the electrical system due to the pulse like loading and require advanced control strategies and distributed energy storage systems to ensure stability. Furthermore, multi-physical coupling of thermal electrical systems are often compartmentalize and analyzed separately, forgoing congruency that could occur if analyzed together. Here, we study how exergy, the amount of useful energy throughout a system, can guide control design and system operation. A multi-physics networked microgrid model was developed of an aircraft with two generation sources, interconnecting power converters, a lumped thermal mass model and pulsed loading. The Hamiltonian Surface Shaping Power Flow Control (HSSPFC) strategy is applied to the electrical grid via idealized and distributed storage elements. The HSSPFC was first developed to solve a general, scalable, form a networked microgrid architecture and then applied to the specific aircraft model. Implementation of the HSSPFC requires an outer loop to balance installed generation and to manage storage. This was accomplished through an exergy optimal set point generation scheme that minimized exergy destruction in the power converters. Bus regulation of within 3% of the desired set point was achieved while servicing a 100 kW pulsed load. A tradeoff between optimization update rate and storage regulation was found to be limited by the algorithm execution speed. Increased optimization update rates were linked to reduced storage use and fewer transients in bus voltage. The thermal model was electrically coupled through pumping loads and by cooling the power electronics. Exergy optimal coolant pump operation was also studied. The minimal exergy and pump energy consumption were obtained by operating the coolant system near the upper temperature limit of the coolant, which minimized cooling electrical loads.
Development of a Motion Control Laboratory Focusing on Control Design and Fluid Power Education
Proceedings of the ASEE 2019 Annual Conference & ExpositionRodriguez, L. A., Cook, M. D., and Williams, D. W.
2019
This paper presents the development of a Motion Control Laboratory in the department of Mechanical Engineering at Milwaukee School of Engineering (MSOE). The main objectives of the lab are to 1) Prepare students to work in real-world motion control applications by providing students with hands-on experiences to better understand control system design ideas and concepts, 2) Expose students to electromechanical and fluid power hardware, and 3) Educate students about the benefits and capabilities of fluid power and electromechanical actuation. Students analyze systems in both open-loop and closed-loop operation, implement simulations validated by experimentation, and perform control system design. Hands-on laboratory experiences are used to reinforce control system concepts, introduce students to fluid power and electromechanical hardware, and provide experience with real-time control and industrial strength hardware. The lab experiences begin with a structured inquiry format investigation into numerous control strategies and culminate with an open-ended design lab experience where the students design a closed-loop controller of their choice to meet a set of desired design specifications. This allows students to connect how abstract concepts lead to the realizable control of hardware. Outcomes of a student exit survey are used to provide recommendations for future improvement in class offerings
Multidimensional Optimal Droop Control for DC Microgrids in Military Applications
Applied SciencesBunker, K., Cook, M., Weaver, W., Parker, G.
2018
Reliability is a key consideration when microgrid technology is implemented in military applications. Droop control provides a simple option without requiring communication between microgrid components, increasing the control system reliability. However, traditional droop control does not allow the microgrid to utilize much of the power available from a solar resource. This paper applies an optimal multidimensional droop control strategy for a solar resource connected in a microgrid at a military patrol base. Simulation and hardware-in-the-loop experiments of a sample microgrid show that much more power from the solar resource can be utilized, while maintaining the system’s bus voltage around a nominal value, and still avoiding the need for communication between the various components.
Optimal Power Management of Vehicle Sourced Military Outposts
SAE International Journal of Commercial VehiclesJane, R., Parker, G. G., Weaver, W., Matthews, R., Rizzo, D., Cook, M.
2017
This paper considers optimal power management during the establishment of an expeditionary outpost using battery and vehicle assets for electrical generation. The first step in creating a new outpost is implementing the physical protection and barrier system. Afterwards, facilities that provide communications, fires, meals, and moral boosts are implemented that steadily increase the electrical load while dynamic events, such as patrols, can cause abrupt changes in the electrical load profile. Being able to create a fully functioning outpost within 72 hours is a typical objective where the electrical power generation starts with batteries, transitions to gasoline generators and is eventually replaced by diesel generators as the outpost matures. Vehicles with power export capability are an attractive supplement to this electrical power evolution since they are usually on site, would reduce the amount of material for outpost creation, and provide a modular approach to outpost build-up. Military vehicles have the attributes of a microgrid and when connected produce a scalable power generation capability [1]. For example, each vehicle could power a subset of the outpost’s build-up and when connected form a networked microgrid topology. However, vehicles must be available to disconnect dynamically for mobility-centric mission requirements. When this happens, there will likely be a shortage of electrical power requiring prioritized load shedding. Alternatively, excess generation will occur at times motivating an optimal solution to efficiently utilize the generation assets and minimize fuel consumption. An optimal, power management and control scheme is described using a notional 72-hour outpost evolution scenario to illustrate the approach. Particular attention is given to competing objectives such as minimizing fuel consumption while maintaining portable battery state-of-charge for equipment used during patrols. Using an optimal power flow and power coordination controller, vehicle centric microgrid architectures were constructed and simulated. For the uninterrupted outpost construction, the scheduled generation and storage were sufficient to supply all prioritized loads. Conversely, for the interrupted outpost construction, vehicle availability dictated which prioritized loads could be satisfied when unexpected power deficits arise.
Decentralized Mode-Adaptive Guidance and Control for DC Microgrid
IEEE Transactions on Power DeliveryCook, M. D., Parker, G. G., Robinett, R. D., Weaver, W. W.
2017
This paper presents a decentralized, mode-adaptive (DMA) guidance law for a Hamiltonian-based controller of an N-source, dc microgrid. Droop control is commonly used for decentralized control of microgrids. Unfortunately, droop control lacks the ability to autonomously adapt to the addition or removal of a source without the augmentation of an outer-loop controller. Centralized control methods provide solutions to these limitations, as well as providing the ability to globally optimize the system. To their detriment, centralized control methods are not scalable, and require system-wide information to be funneled through a central controller yielding a single point of failure. The DMA power apportionment scheme presented here aims to reduce the gap between droop control and centralized control by providing a method that can operate autonomously in the event of source and bus load fluctuations as well as reduce communication requirements of centralized control and, thus, increase resiliency and scalability. After development of the DMA, its performance is compared to the centrally controlled optimal exergy destruction power apportionment strategy, as well as a Hamiltonian-based droop control strategy. Finally, it is shown that for a sufficiently large number of converters supplying a microgrid, the presented decentralized, mode-adaptive strategy provides an efficient and practical alternative to both droop control and centralized control schemes.
