Design method for mechatronic systems relies on multidisciplinary, collaborative research, and information sharing between engineers from different domains. However, there are many hurdles for information sharing such as expensive cost to provide required tools. Therefore, a holistic co-design method is needed to integrate these domains concurrently and facilitate designs, and verification. In this paper, a method based on holistic approaches is presented. A design case including a DC-motor, a belt drive and a load component is considered. An observer-based optimal pole placement control design is employed. The system is optimised for three objectives as volume, sampling frequency, and sensor resolution to reduce size, hardware and implementation costs. A weighted sum function is applied on the result of optimisation as a Pareto optimal set to provide even weights for the objectives. The optimum system is derived, control performance is evaluated, and the correlations between parameters from different domains are discussed.
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