Maine Aerospace Consulting (MAC) specializes in the design, development, coding and testing of classical and optimal control systems. This includes linear and nonlinear methods and associated numerical optimization techniques. Typically a simulation, based in Matlab/Simulink, may also be developed to support the algorithm design and test effort.
MAC has extensive experience in control system algorithm design including previous projects involving UAV, reusable launch vehicles, spacecraft, marine systems and turbine engines. These projects have included the implementation of various techniques such as Linear Quadratic Regulators (LQR), Linear Quadratic Gaussian (LQG), classic PID and Model-based Predictive Control (MPC) as well as numerical optimization methods such as Direct Trajectory Optimization, Dynamic Programming (DP) and Neuro-Dynamic Programming (NDP).
MAC will formulate, design, document and test algorithms to support guidance and control system design, provide analysis and support for sensor, actuator and processor selection and integration efforts and create design simulations that can also be utilized for system performance characterization.
Maine Aerospace Consulting can develop efficient and robust algorithms for virtually any guidance and/or control system design problem.