Successful multivariable control system design demands knowledge, skill and creativity of the designer. Artificial intelligence can facilitate the design process by capturing much of the knowledge and some of the skill of the designer into an intelligent design tool, leaving the designer free to concentrate more on the creativity aspect of the design. This publication investigates the contribution which artificial intelligence can make to multivariable control system design. It covers all the research, design, development and testing aspects of creating the expert system. The approach is a critical one, reporting on the success as well as the shortcomings of expert system technology. Full documentation of the design software applications relevant to new and experienced users is given.

Inhalt

1 Artificial Intelligence and Control System Design.- 1.1 Introduction.- 1.2 Why Use an Expert System?.- 1.3 Applications of Expert Systems in CACSD.- 1.4 Description of the Design System.- 1.5 Notation.- 2 The CACSD Method.- 2.1 Introduction.- 2.2 Notation.- 2.3 Summary of Factorization Theory.- 2.4 Computing the Coprime Matrix Fractions.- 2.5 Diagonal Factorization.- 2.6 The Diagonal Factorization Algorithm.- 2.7 The QSTEP Parameter.- 2.8 The Closed Loop Poles.- 2.9 The S Domain.- 2.10 Summary.- 3 Implementation of the CACSD Package.- 3.1 Introduction.- 3.2 Generating the Quadratic Programming Problem.- 3.2.1 Computing the Matrix Fractions.- 3.2.2 Translating the Performance Constraints.- 3.2.3 Translating the Cost Function.- 3.3 Representing the Linear Constraints.- 3.3.1 Time Domain Constraints.- 3.3.2 Frequency Domain Constraints.- 3.3.3 Examples.- 3.4 Solving the Quadratic Programming Problem.- 3.5 The QPSOL Algorithm.- 3.6 Ancillary Functions of the CACSD Package.- 3.6.1 Entry of Transfer Function Matrices.- 3.6.2 Entry of Performance Constraints.- 3.6.3 Graphics Facilities.- 3.6.4 Analysis Facilities.- 3.6.5 Reduced Order Controller Estimation.- 3.7 Summary.- 4 The Expert System.- 4.1 Introduction.- 4.2 The User Interface and Philosophy.- 4.3 Explaining the Design Language and Methodology.- 4.4 Presentation of the Design Status.- 4.5 Formulating the Design Specifications.- 4.5.1 The NEXT STEP Command.- 4.5.2 The SUGGEST Command.- 4.5.3 The COMPLETE Command.- 4.6 Expanding the Scope of the CACSD Package.- 4.7 Optimizing the Use of the CACSD Subroutines.- 4.8 Summary.- 5 Implementation of the Expert System.- 5.1 Introduction.- 5.2 Selection of the Expert System Shell.- 5.3 Communication with External Programs.- 5.4 Database Facilities.- 5.4.1 The RESP-DB Database.- 5.4.2 The SPEC-DB Database.- 5.4.3 The SOLVE-DB Database.- 5.4.4 The PARAM-DB Database.- 5.4.5 The FEATURE-DB Database.- 5.5 Structure of the Expert System.- 5.5.1 Initialization.- 5.5.2 The Command Line Processor.- 5.5.3 The HELP Module.- 5.5.4 The SUGGEST and NEXT STEP Modules.- 5.5.5 The Module Checking for Completeness.- 5.5.6 The Module Explaining Specification Conflicts.- 5.6 Summary.- 6 Sample Design Sessions.- 6.1 Introduction.- 6.2 Example 1: A Mine Milling Plant.- 6.3 Example 2: A Gyroscope.- 6.4 Other Examples.- 6.5 Summary.- 7 Use of the Expert System.- 7.1 Introduction.- 7.2 The Undergraduate Control System Design Project.- 7.3 The Postgraduate Control System Design Project.- 7.3.1 Single Variable Designs.- 7.3.2 INA/DNA Designs.- 7.3.3 Characteristic Loci Designs.- 7.3.4 MV-CXS Designs.- 7.3.5 Comparison of Design Methods.- 7.3.6 Alternative Designs.- 7.4 Summary.- 8 Implementing the Controller.- 8.1 Introduction.- 8.2 Full Controller Implementation.- 8.3 Reduced Order Controller Estimation.- 8.4 Examples of Controller Implementation.- 8.4.1 FIR Implementation.- 8.4.2 Reduced Order Controller Estimation.- 8.5 Summary.- 9 Conclusions.- Appendix A MV-CXS Specifications.- A.l Requirements for the Computer.- A.2 Requirements for the Plant.- A.3 The MV-CXS Command Language Specification.- A.3.1 Commands to Select a Response.- A.3.2 Graphics Commands.- A.3.5 Miscellaneous Commands.- Appendix B The CACSD Package Interface.- Appendix C The MV-CXS Student Design Project Instructions.- References.