Real time self-tuning of industrial controllers using a digital parameter optimization technique
A digital, parametrically optimized adaptive self-tuning regulator is proposed for the on-line tuning of motor controllers. The proposed adaptive technique consists of an identification scheme which identifies the system with a predictive model and a parameter optimization control technique which us...
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| creator | Farhoud, A.M. Ghandakly, A.A. |
| description | A digital, parametrically optimized adaptive self-tuning regulator is proposed for the on-line tuning of motor controllers. The proposed adaptive technique consists of an identification scheme which identifies the system with a predictive model and a parameter optimization control technique which uses this model to derive the control law. The control design consists of choosing a suitable regulator structure, then tuning the associated regulator parameters to minimize a chosen minimization criterion. The proposed design technique has flexibility in specifying the order and structure of the regulator which offers advantages in selecting and autotuning well known effective controller structures. The computations involved in the proposed controller are feasible for implementation by an on-line microprocessor. Examples are presented which show that the proposed technique outperforms the fixed parameters controllers by a great deal.< > |
| doi_str_mv | 10.1109/IAS.1994.377666 |
| format | Conference Proceeding |
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Examples are presented which show that the proposed technique outperforms the fixed parameters controllers by a great deal.< ></description><subject>Adaptive control</subject><subject>Control design</subject><subject>Digital control</subject><subject>Electrical equipment industry</subject><subject>Industrial control</subject><subject>Microprocessors</subject><subject>Predictive models</subject><subject>Programmable control</subject><subject>Regulators</subject><subject>Tuning</subject><isbn>0780319931</isbn><isbn>9780780319936</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1994</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkEtLAzEcxAMiqLVnwVO-wNa8NtkcS_FRKAg-zjW7-adGdrNrkj3opzelzmEG5gdzGIRuKFlRSvTddv26olqLFVdKSnmGrohqCC8VpxdomdIXKRI1Fay5RB8vYHqc_QA4Qe-qPAcfDnh02Ac7pxx9wd0Ychz7HmLCczpyg60_-FzYZKIZIEPE41Rm_K_Jfgw4Q_cZ_PcM1-jcmT7B8j8X6P3h_m3zVO2eH7eb9a7yVLFcWW1bVgslrJN1Q50mlBvtwDJriwlF2loT0EIqp6isDaNN17Qt0R0waB1foNvTrgeA_RT9YOLP_vQB_wMs0FRe</recordid><startdate>1994</startdate><enddate>1994</enddate><creator>Farhoud, A.M.</creator><creator>Ghandakly, A.A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1994</creationdate><title>Real time self-tuning of industrial controllers using a digital parameter optimization technique</title><author>Farhoud, A.M. ; Ghandakly, A.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i172t-d9db25474df6581f9013a9fed2dded2470b590e9467f7165a218c8bb09ce2ebf3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1994</creationdate><topic>Adaptive control</topic><topic>Control design</topic><topic>Digital control</topic><topic>Electrical equipment industry</topic><topic>Industrial control</topic><topic>Microprocessors</topic><topic>Predictive models</topic><topic>Programmable control</topic><topic>Regulators</topic><topic>Tuning</topic><toplevel>online_resources</toplevel><creatorcontrib>Farhoud, A.M.</creatorcontrib><creatorcontrib>Ghandakly, A.A.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Farhoud, A.M.</au><au>Ghandakly, A.A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Real time self-tuning of industrial controllers using a digital parameter optimization technique</atitle><btitle>Proceedings of 1994 IEEE Industry Applications Society Annual Meeting</btitle><stitle>IAS</stitle><date>1994</date><risdate>1994</risdate><volume>2</volume><spage>1758</spage><epage>1765 vol.3</epage><pages>1758-1765 vol.3</pages><isbn>0780319931</isbn><isbn>9780780319936</isbn><abstract>A digital, parametrically optimized adaptive self-tuning regulator is proposed for the on-line tuning of motor controllers. The proposed adaptive technique consists of an identification scheme which identifies the system with a predictive model and a parameter optimization control technique which uses this model to derive the control law. The control design consists of choosing a suitable regulator structure, then tuning the associated regulator parameters to minimize a chosen minimization criterion. The proposed design technique has flexibility in specifying the order and structure of the regulator which offers advantages in selecting and autotuning well known effective controller structures. The computations involved in the proposed controller are feasible for implementation by an on-line microprocessor. Examples are presented which show that the proposed technique outperforms the fixed parameters controllers by a great deal.< ></abstract><pub>IEEE</pub><doi>10.1109/IAS.1994.377666</doi></addata></record> |
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| identifier | ISBN: 0780319931 |
| ispartof | Proceedings of 1994 IEEE Industry Applications Society Annual Meeting, 1994, Vol.2, p.1758-1765 vol.3 |
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| language | eng |
| recordid | cdi_ieee_primary_377666 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Adaptive control Control design Digital control Electrical equipment industry Industrial control Microprocessors Predictive models Programmable control Regulators Tuning |
| title | Real time self-tuning of industrial controllers using a digital parameter optimization technique |
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