CAutoCSD-Evolutionary Search and Optimisation Enabled Computer Automated Control System Design

Yun Li; Kiam Heong Ang; Gregory C.Y. Chong; Wenyuan Feng; Kay Chen Tan; Hiroshi Kashiwagi

doi:10.1007/s11633-004-0076-8

CAutoCSD-Evolutionary Search and Optimisation Enabled Computer Automated Control System Design

doi: 10.1007/s11633-004-0076-8

1.
Department of Electronics and Electrical Engineering, University of Glasgow, Glasgow G12 8LT, UK;
2.
Department of Mechanical Engineering and Material Science, Kumamoto University, Japan

CAutoCSD-Evolutionary Search and Optimisation Enabled Computer Automated Control System Design

1.
Department of Electronics and Electrical Engineering, University of Glasgow, Glasgow G12 8LT, UK;
2.
Department of Mechanical Engineering and Material Science, Kumamoto University, Japan

摘要: This paper attempts to set a unified scene for various linear time-invariant (LTI) control system design schemes, by transforming the existing concept of computer-aided control system design (CACSD) to novel computer-automated control system design (CAutoCSD). The first step towards this goal is to accommodate, under practical constraints, various design objectives that are desirable in both time and frequency domains. Such performance-prioritised unification is aimed at relieving practising engineers from having to select a particular control scheme and from sacrificing certain performance goals resulting from pre-commitment to such schemes. With recent progress in evolutionary computing based extra-numeric, multi-criterion search and optimisation techniques, such unification of LTI control schemes becomes feasible, analytical and practical, and the resultant designs can be creative. The techniques developed are applied to, and illustrated by, three design problems. The unified approach automatically provides an integrator for zero-steady state error in velocity control of a DC motor, and meets multiple objectives in the design of an LTI controller for a non-minimum phase plant and offers a high-performance LTI controller network for a non-linear chemical process.
- Linear time-invariant (LTI) /
- proportional plus integral plus derivative (PID) /
- control system design (CSD) /
- computer-aided control system design (CACSD) /
- performance index /
- genetic algorithms (GA) /
- evolutionary computation (EC) /
- process control /
- robust control
Abstract: This paper attempts to set a unified scene for various linear time-invariant (LTI) control system design schemes, by transforming the existing concept of computer-aided control system design (CACSD) to novel computer-automated control system design (CAutoCSD). The first step towards this goal is to accommodate, under practical constraints, various design objectives that are desirable in both time and frequency domains. Such performance-prioritised unification is aimed at relieving practising engineers from having to select a particular control scheme and from sacrificing certain performance goals resulting from pre-commitment to such schemes. With recent progress in evolutionary computing based extra-numeric, multi-criterion search and optimisation techniques, such unification of LTI control schemes becomes feasible, analytical and practical, and the resultant designs can be creative. The techniques developed are applied to, and illustrated by, three design problems. The unified approach automatically provides an integrator for zero-steady state error in velocity control of a DC motor, and meets multiple objectives in the design of an LTI controller for a non-minimum phase plant and offers a high-performance LTI controller network for a non-linear chemical process.
- Linear time-invariant (LTI) /
- proportional plus integral plus derivative (PID) /
- control system design (CSD) /
- computer-aided control system design (CACSD) /
- performance index /
- genetic algorithms (GA) /
- evolutionary computation (EC) /
- process control /
- robust control

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CAutoCSD-Evolutionary Search and Optimisation Enabled Computer Automated Control System Design

doi: 10.1007/s11633-004-0076-8

CAutoCSD-Evolutionary Search and Optimisation Enabled Computer Automated Control System Design

计量

CAutoCSD-Evolutionary Search and Optimisation Enabled Computer Automated Control System Design

doi: 10.1007/s11633-004-0076-8

1. Department of Electronics and Electrical Engineering, University of Glasgow, Glasgow G12 8LT, UK;

2. Department of Mechanical Engineering and Material Science, Kumamoto University, Japan

English Abstract

CAutoCSD-Evolutionary Search and Optimisation Enabled Computer Automated Control System Design

1. Department of Electronics and Electrical Engineering, University of Glasgow, Glasgow G12 8LT, UK;

2. Department of Mechanical Engineering and Material Science, Kumamoto University, Japan

全文HTML

目录

CAutoCSD-Evolutionary Search and Optimisation Enabled Computer Automated Control System Design

doi: 10.1007/s11633-004-0076-8

CAutoCSD-Evolutionary Search and Optimisation Enabled Computer Automated Control System Design

计量

出版历程

CAutoCSD-Evolutionary Search and Optimisation Enabled Computer Automated Control System Design

doi: 10.1007/s11633-004-0076-8

1. Department of Electronics and Electrical Engineering, University of Glasgow, Glasgow G12 8LT, UK; 2. Department of Mechanical Engineering and Material Science, Kumamoto University, Japan

English Abstract

CAutoCSD-Evolutionary Search and Optimisation Enabled Computer Automated Control System Design

1. Department of Electronics and Electrical Engineering, University of Glasgow, Glasgow G12 8LT, UK; 2. Department of Mechanical Engineering and Material Science, Kumamoto University, Japan

全文HTML

目录

1. Department of Electronics and Electrical Engineering, University of Glasgow, Glasgow G12 8LT, UK;

2. Department of Mechanical Engineering and Material Science, Kumamoto University, Japan

1. Department of Electronics and Electrical Engineering, University of Glasgow, Glasgow G12 8LT, UK;

2. Department of Mechanical Engineering and Material Science, Kumamoto University, Japan