A New Approach for Designing of PID Controller for a Linear Brushless DC Motor with Using Ant Colony Search Algorithm
This paper presents a ant colony search algorithm (ACSA) method for determining the optimal proportional-integral derivative (PID) controller parameters, for speed control of a linear brushless DC motor. The proposed approach has superior features, including easy implementation, stable convergence c...
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| creator | Navidi, N. Bavafa, M. Hesami, S. |
| description | This paper presents a ant colony search algorithm (ACSA) method for determining the optimal proportional-integral derivative (PID) controller parameters, for speed control of a linear brushless DC motor. The proposed approach has superior features, including easy implementation, stable convergence characteristic and good computational efficiency. The brushless DC motor is modeled in Simulink and the ACSA is implemented in MATLAB. Comparing with genetic algorithm (GA) and linear quadratic regulator (LQR) method, the proposed method was more efficient in improving the step response characteristics such as, reducing the steady-states error; rise time, settling time and maximum overshoot in speed control of a linear brushless DC motor. |
| doi_str_mv | 10.1109/APPEEC.2009.4918063 |
| format | Conference Proceeding |
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The proposed approach has superior features, including easy implementation, stable convergence characteristic and good computational efficiency. The brushless DC motor is modeled in Simulink and the ACSA is implemented in MATLAB. Comparing with genetic algorithm (GA) and linear quadratic regulator (LQR) method, the proposed method was more efficient in improving the step response characteristics such as, reducing the steady-states error; rise time, settling time and maximum overshoot in speed control of a linear brushless DC motor.</description><subject>Algorithm design and analysis</subject><subject>Brushless DC motors</subject><subject>Computational efficiency</subject><subject>Mathematical model</subject><subject>Optimal control</subject><subject>PD control</subject><subject>Pi control</subject><subject>Proportional control</subject><subject>Three-term control</subject><subject>Velocity control</subject><issn>2157-4839</issn><isbn>1424424860</isbn><isbn>9781424424863</isbn><isbn>1424424879</isbn><isbn>9781424424870</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkF9PwjAUxWuUREA-AS_9AsN27frncQ5QElQS8ZmU7Q5qxkraEcK3tyqJJze5uTnndx4uQmNKJpQS_ZivVrNZMUkJ0ROuqSKC3aAB5SmPo6S-_T8EuUP9lGYy4YrpHhpESGnCBNX3aBTCF4niWSq57KNTjt_gjPPj0TtT7nHtPJ5CsLvWtjvsarxaTHHh2s67pgH_6xu8tC0Yj5_8KewbCAFPC_zquuidbbfHn-EHztsuko1rL_gjpmN53uycj4HDA-rVpgkwuu4hWs9n6-IlWb4_L4p8mVhNuiQ1W1KzuqyAsi1AVm-N0hUIoZTiZUWkIpkAQXSqRFYRUzIJYERGZRRngg3R-K_WAsDm6O3B-Mvm-j72DTgXX5M</recordid><startdate>200903</startdate><enddate>200903</enddate><creator>Navidi, N.</creator><creator>Bavafa, M.</creator><creator>Hesami, S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200903</creationdate><title>A New Approach for Designing of PID Controller for a Linear Brushless DC Motor with Using Ant Colony Search Algorithm</title><author>Navidi, N. ; Bavafa, M. ; Hesami, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-2ab0f3fcde13bee5fba89de668884cd078056e6092865d0ac37eea65177774363</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Algorithm design and analysis</topic><topic>Brushless DC motors</topic><topic>Computational efficiency</topic><topic>Mathematical model</topic><topic>Optimal control</topic><topic>PD control</topic><topic>Pi control</topic><topic>Proportional control</topic><topic>Three-term control</topic><topic>Velocity control</topic><toplevel>online_resources</toplevel><creatorcontrib>Navidi, N.</creatorcontrib><creatorcontrib>Bavafa, M.</creatorcontrib><creatorcontrib>Hesami, S.</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>Navidi, N.</au><au>Bavafa, M.</au><au>Hesami, S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A New Approach for Designing of PID Controller for a Linear Brushless DC Motor with Using Ant Colony Search Algorithm</atitle><btitle>2009 Asia-Pacific Power and Energy Engineering Conference</btitle><stitle>APPEEC</stitle><date>2009-03</date><risdate>2009</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><issn>2157-4839</issn><isbn>1424424860</isbn><isbn>9781424424863</isbn><eisbn>1424424879</eisbn><eisbn>9781424424870</eisbn><abstract>This paper presents a ant colony search algorithm (ACSA) method for determining the optimal proportional-integral derivative (PID) controller parameters, for speed control of a linear brushless DC motor. The proposed approach has superior features, including easy implementation, stable convergence characteristic and good computational efficiency. The brushless DC motor is modeled in Simulink and the ACSA is implemented in MATLAB. Comparing with genetic algorithm (GA) and linear quadratic regulator (LQR) method, the proposed method was more efficient in improving the step response characteristics such as, reducing the steady-states error; rise time, settling time and maximum overshoot in speed control of a linear brushless DC motor.</abstract><pub>IEEE</pub><doi>10.1109/APPEEC.2009.4918063</doi><tpages>5</tpages></addata></record> |
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| issn | 2157-4839 |
| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Algorithm design and analysis Brushless DC motors Computational efficiency Mathematical model Optimal control PD control Pi control Proportional control Three-term control Velocity control |
| title | A New Approach for Designing of PID Controller for a Linear Brushless DC Motor with Using Ant Colony Search Algorithm |
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