Abstract
ABSTRACTThe proposition of U-model concept (in terms of ‘providing concise and applicable solutions for complex problems’) and a corresponding basic U-control design algorithm was originated in the first author's PhD thesis. The term of U-model appeared (not rigorously defined) for the first time in the first author's other journal paper, which established a framework for using linear polynomial control system design approaches to design nonlinear polynomial control systems (in brief, linear polynomial approaches → nonlinear polynomial plants). This paper represents the next milestone work – using linear state-space approaches to design nonlinear polynomial control systems (in brief, linear state-space approaches → nonlinear polynomial plants). The overall aim of the study is to establish a framework, defined as the U-block model, which provides a generic prototype for using linear state-space-based approaches to design the control systems with smooth nonlinear plants/processes described by polynomial models. For analysing the feasibility and effectiveness, sliding mode control design approach is selected as an exemplary case study. Numerical simulation studies provide a user-friendly step-by-step procedure for the readers/users with interest in their ad hoc applications. In formality, this is the first paper to present the U-model-oriented control system design in a formal way and to study the associated properties and theorems. The previous publications, in the main, have been algorithm-based studies and simulation demonstrations. In some sense, this paper can be treated as a landmark for the U-model-based research from intuitive/heuristic stage to rigour/formal/comprehensive studies.
Highlights
The main objective of control engineering is invariably to design a controlled system to best match the performance or design specifications
The output response of the designed U-Block model with assigned poles and steady state property is shown in Figure 4.1 and the pole placement controller output is shown in Figure 4.2 (Zhu and Guo, 2009), which is similar to that of a linear system
It is believed that this study will bring forward a new direction in using linear approaches to design nonlinear control systems
Summary
The main objective of control engineering is invariably to design a controlled system to best match the performance or design specifications. Standard procedures of control system design can be broadly classified into two groups according to whether the dynamic plant is linear or nonlinear. Generalisation of control system design for nonlinear dynamic plants has been a hot and challenging topic in research and applications. It has been the researcher’s belief that it is possible to use linear controller design methodologies to design a large class of smooth nonlinear control systems, and to simplify and generalise nonlinear control system design.
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